# human computer interaction

Published articles for human computer interaction.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Meta Just Launched an AI That Uses Websites for You. That Could Be a Big Deal for Web Designers

DevFeed: [Meta Just Launched an AI That Uses Websites for You. That Could Be a Big Deal for Web Designers](<https://devfeed.tech/articles/meta-just-launched-an-ai-that-uses-websites-for-you-that-could-be-a-big-deal-for-web-designers-9272.md>)

Original publisher: [Read original article](<https://webdesignerdepot.com/meta-just-launched-an-ai-that-uses-websites-for-you-that-could-be-a-big-deal-for-web-designers/>)

Author: Noah Davis

Published: 2026-09-09T15:12:00Z

Content type: article

Language: en

Sources: [Web Designer Depot](<https://devfeed.tech/sources/web-designer-depot.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [User interface design](<https://devfeed.tech/topics/ui-design.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Accessibility](<https://devfeed.tech/topics/accessibility.md>), [computer-use](<https://devfeed.tech/topics/computer-use.md>), [Document Object Model (DOM)](<https://devfeed.tech/topics/dom.md>), [Claude](<https://devfeed.tech/topics/claude.md>)

Tags: [accessibility](<https://devfeed.tech/tags/accessibility.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-automation](<https://devfeed.tech/tags/ai-automation.md>), [ai-tech](<https://devfeed.tech/tags/ai-tech.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [browser](<https://devfeed.tech/tags/browser.md>), [browser-agents](<https://devfeed.tech/tags/browser-agents.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [design](<https://devfeed.tech/tags/design.md>), [design-trends](<https://devfeed.tech/tags/design-trends.md>), [forms](<https://devfeed.tech/tags/forms.md>), [future-of-the-web](<https://devfeed.tech/tags/future-of-the-web.md>), [future-of-web-design](<https://devfeed.tech/tags/future-of-web-design.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [meta](<https://devfeed.tech/tags/meta.md>), [meta-muse](<https://devfeed.tech/tags/meta-muse.md>), [muse](<https://devfeed.tech/tags/muse.md>), [muse-ai](<https://devfeed.tech/tags/muse-ai.md>), [ui-design](<https://devfeed.tech/tags/ui-design.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>), [ux](<https://devfeed.tech/tags/ux.md>), [ux-design](<https://devfeed.tech/tags/ux-design.md>), [visual-hierarchy](<https://devfeed.tech/tags/visual-hierarchy.md>), [web-accessibility](<https://devfeed.tech/tags/web-accessibility.md>), [web-design](<https://devfeed.tech/tags/web-design.md>), [web-development](<https://devfeed.tech/tags/web-development.md>), [website-design](<https://devfeed.tech/tags/website-design.md>)

### AI overview

The article examines Meta's Muse personal AI agent and argues that web designers may need to design websites for both human visitors and agents acting on users' behalf. It highlights semantic structure, accessibility, predictable controls, and trust as important considerations.

### Source excerpt

Your website's next visitor might not be human. Meta's new Muse agent can navigate sites, fill out forms and take action for you--and it could force web designers to rethink exactly who they're designing for.

## System helps humans predict when self-driving cars will make mistakes

DevFeed: [System helps humans predict when self-driving cars will make mistakes](<https://devfeed.tech/articles/system-helps-humans-predict-when-self-driving-cars-will-make-mistakes-37982.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/system-helps-humans-predict-when-self-driving-cars-will-make-mistakes-0902>)

Author: Adam Zewe | MIT News

Published: 2026-09-02T15:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [autonomous vehicles](<https://devfeed.tech/topics/autonomous-vehicles.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [Computer science](<https://devfeed.tech/topics/computer-science.md>)

Tags: [aeronautical-and-astronautical-engineering](<https://devfeed.tech/tags/aeronautical-and-astronautical-engineering.md>), [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [concept-wrapper-network](<https://devfeed.tech/tags/concept-wrapper-network.md>), [cw-net](<https://devfeed.tech/tags/cw-net.md>), [deep](<https://devfeed.tech/tags/deep.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [eoin-kenny](<https://devfeed.tech/tags/eoin-kenny.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [julie-shah](<https://devfeed.tech/tags/julie-shah.md>), [laura-major](<https://devfeed.tech/tags/laura-major.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [momchil-tomov](<https://devfeed.tech/tags/momchil-tomov.md>), [motional](<https://devfeed.tech/tags/motional.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [self-driving](<https://devfeed.tech/tags/self-driving.md>), [self-driving-cars](<https://devfeed.tech/tags/self-driving-cars.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [transparency](<https://devfeed.tech/tags/transparency.md>)

### AI overview

MIT and Motional researchers developed CW-Net, a method that translates an autonomous vehicle's deep-learning decisions into understandable concepts. Tests found that the explanations helped safety drivers and nonexpert users better predict vehicle behavior.

### Source excerpt

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle's AI system into understandable concepts that explain its behavior.

## Deque and Microsoft: Two decades of shaping the future of accessibility

DevFeed: [Deque and Microsoft: Two decades of shaping the future of accessibility](<https://devfeed.tech/articles/deque-and-microsoft-two-decades-of-shaping-the-future-of-accessibility-9430.md>)

Original publisher: [Read original article](<https://www.deque.com/blog/deque-and-microsoft-two-decades-of-shaping-the-future-of-accessibility/>)

Author: Preety Kumar

Published: 2026-08-25T12:33:31Z

Content type: article

Language: en

Sources: [Deque](<https://devfeed.tech/sources/deque.md>)

Topics: [Accessibility](<https://devfeed.tech/topics/accessibility.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [software-development](<https://devfeed.tech/topics/software-development.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>)

Tags: [accessibility](<https://devfeed.tech/tags/accessibility.md>), [accessibility-tools](<https://devfeed.tech/tags/accessibility-tools.md>), [ai](<https://devfeed.tech/tags/ai.md>), [axe-core](<https://devfeed.tech/tags/axe-core.md>), [company-news-and-updates](<https://devfeed.tech/tags/company-news-and-updates.md>), [development](<https://devfeed.tech/tags/development.md>), [digital-experiences](<https://devfeed.tech/tags/digital-experiences.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [partnership](<https://devfeed.tech/tags/partnership.md>), [software-development](<https://devfeed.tech/tags/software-development.md>), [web-accessibility](<https://devfeed.tech/tags/web-accessibility.md>)

### AI overview

Deque and Microsoft's nearly two-decade accessibility partnership is presented as a collaboration focused on embedding accessibility throughout software development. The article discusses how AI-assisted development, regulation, and digital accessibility are converging, and argues that accessibility should be considered from the first prompt. It also highlights the disability community's expertise in human-computer interaction as technically important for building more robust and reliable AI systems.

### Source excerpt

What started nearly two decades ago as conversations between two people passionate about improving accessibility across Microsoft's digital experiences has grown into a lasting partnership built on shared learning, mutual respect, and a common belief that accessibility should be built into every stage of software development. The post Deque and Microsoft: Two decades of shaping the future of accessibility appeared first on Deque.

## GeoPT helps AI models simulate how objects respond to physical forces

DevFeed: [GeoPT helps AI models simulate how objects respond to physical forces](<https://devfeed.tech/articles/with-a-feel-for-physics-ai-models-simulate-a-wider-range-of-real-world-scenarios-37942.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/ai-models-simulate-wider-range-of-real-world-scenarios-0810>)

Author: Alex Shipps | MIT CSAIL

Published: 2026-08-10T19:25:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](<https://devfeed.tech/topics/computer-science-and-artificial-intelligence-laboratory-csail.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>)

Tags: [3-d-imaging](<https://devfeed.tech/tags/3-d-imaging.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [computational-fluid-dynamics-cfd](<https://devfeed.tech/tags/computational-fluid-dynamics-cfd.md>), [computer-graphics](<https://devfeed.tech/tags/computer-graphics.md>), [computer-modeling](<https://devfeed.tech/tags/computer-modeling.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [crash-simulation](<https://devfeed.tech/tags/crash-simulation.md>), [design](<https://devfeed.tech/tags/design.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [geometric-pre-training](<https://devfeed.tech/tags/geometric-pre-training.md>), [geopt](<https://devfeed.tech/tags/geopt.md>), [haixu-wu](<https://devfeed.tech/tags/haixu-wu.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [kaiming-he](<https://devfeed.tech/tags/kaiming-he.md>), [manufacturing](<https://devfeed.tech/tags/manufacturing.md>), [minghao-guo](<https://devfeed.tech/tags/minghao-guo.md>), [mit-csail](<https://devfeed.tech/tags/mit-csail.md>), [mit-eecs](<https://devfeed.tech/tags/mit-eecs.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [neural-physics-simulation](<https://devfeed.tech/tags/neural-physics-simulation.md>), [paper](<https://devfeed.tech/tags/paper.md>), [physics](<https://devfeed.tech/tags/physics.md>), [physics-aware-ai](<https://devfeed.tech/tags/physics-aware-ai.md>), [physics-foundation-models](<https://devfeed.tech/tags/physics-foundation-models.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [self-supervised-learning](<https://devfeed.tech/tags/self-supervised-learning.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [surrogate-modeling](<https://devfeed.tech/tags/surrogate-modeling.md>), [synthetic-dynamics](<https://devfeed.tech/tags/synthetic-dynamics.md>), [transformer-based-simulators](<https://devfeed.tech/tags/transformer-based-simulators.md>), [wojciech-matusik](<https://devfeed.tech/tags/wojciech-matusik.md>)

### AI overview

Researchers at MIT CSAIL and Tsinghua University developed GeoPT, a pre-training approach that uses 3D simulations of mechanical interactions to help AI models learn physics more efficiently. The article reports that models using the approach reached peak performance twice as fast and trained on up to 60 percent less data than leading models.

### Source excerpt

"GeoPT" helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

## The benefits of medical AI assistance vary based on user expertise

DevFeed: [The benefits of medical AI assistance vary based on user expertise](<https://devfeed.tech/articles/the-benefits-of-medical-ai-assistance-vary-based-on-user-expertise-37964.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/medical-ai-assistance-benefits-vary-based-on-user-expertise-0804>)

Author: Adam Zewe | MIT News

Published: 2026-08-04T09:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Human-AI evaluation](<https://devfeed.tech/topics/human-ai-evaluation.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bias](<https://devfeed.tech/tags/bias.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [decision-making](<https://devfeed.tech/tags/decision-making.md>), [dermatological-diagnosis](<https://devfeed.tech/tags/dermatological-diagnosis.md>), [diagnosing-skin-disease](<https://devfeed.tech/tags/diagnosing-skin-disease.md>), [diagnostics](<https://devfeed.tech/tags/diagnostics.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [explainability](<https://devfeed.tech/tags/explainability.md>), [explainable-ai](<https://devfeed.tech/tags/explainable-ai.md>), [health-care](<https://devfeed.tech/tags/health-care.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [institute-for-medical-engineering-and-science-imes](<https://devfeed.tech/tags/institute-for-medical-engineering-and-science-imes.md>), [jameel-clinic](<https://devfeed.tech/tags/jameel-clinic.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [large-language-model](<https://devfeed.tech/tags/large-language-model.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [marzyeh-ghassemi](<https://devfeed.tech/tags/marzyeh-ghassemi.md>), [medicine](<https://devfeed.tech/tags/medicine.md>), [research](<https://devfeed.tech/tags/research.md>), [technology-and-society](<https://devfeed.tech/tags/technology-and-society.md>), [users](<https://devfeed.tech/tags/users.md>)

### AI overview

A study found that AI assistance improved skin-disease diagnosis for non-experts and clinicians, but explainability affected users differently. Non-experts often deferred to LLM-based explanations even when the AI was wrong, while clinicians performed best with the model's prediction alone.

### Source excerpt

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

## 3 Questions: Neural transparency and the future of AI design

DevFeed: [3 Questions: Neural transparency and the future of AI design](<https://devfeed.tech/articles/3-questions-neural-transparency-and-the-future-of-ai-design-37938.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/3-questions-neural-transparency-and-future-of-ai-design-0715>)

Author: Media Lab

Published: 2026-07-15T20:25:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [User Interfaces](<https://devfeed.tech/topics/user-interfaces.md>), [interface](<https://devfeed.tech/topics/interface.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [3-questions](<https://devfeed.tech/tags/3-questions.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-companion](<https://devfeed.tech/tags/ai-companion.md>), [ai-empathy](<https://devfeed.tech/tags/ai-empathy.md>), [ai-hallucinations](<https://devfeed.tech/tags/ai-hallucinations.md>), [ai-personalization](<https://devfeed.tech/tags/ai-personalization.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [ai-sycophancy](<https://devfeed.tech/tags/ai-sycophancy.md>), [ai-toxicity](<https://devfeed.tech/tags/ai-toxicity.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [anthony-baez](<https://devfeed.tech/tags/anthony-baez.md>), [apps](<https://devfeed.tech/tags/apps.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [behavioral-prediction](<https://devfeed.tech/tags/behavioral-prediction.md>), [character-ai](<https://devfeed.tech/tags/character-ai.md>), [chatbot-behavior](<https://devfeed.tech/tags/chatbot-behavior.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [human-ai-interaction](<https://devfeed.tech/tags/human-ai-interaction.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [interface](<https://devfeed.tech/tags/interface.md>), [interview](<https://devfeed.tech/tags/interview.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mechanistic-interpretability](<https://devfeed.tech/tags/mechanistic-interpretability.md>), [media-lab](<https://devfeed.tech/tags/media-lab.md>), [mental-health](<https://devfeed.tech/tags/mental-health.md>), [mit-faculty-interview](<https://devfeed.tech/tags/mit-faculty-interview.md>), [mit-media-lab](<https://devfeed.tech/tags/mit-media-lab.md>), [neural](<https://devfeed.tech/tags/neural.md>), [neural-transparency](<https://devfeed.tech/tags/neural-transparency.md>), [pat-pataranutaporn](<https://devfeed.tech/tags/pat-pataranutaporn.md>), [persona-scores](<https://devfeed.tech/tags/persona-scores.md>), [persona-vectors](<https://devfeed.tech/tags/persona-vectors.md>), [personalized-ai](<https://devfeed.tech/tags/personalized-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-architecture-and-planning](<https://devfeed.tech/tags/school-of-architecture-and-planning.md>), [sheer-karny](<https://devfeed.tech/tags/sheer-karny.md>), [sunburst-visualization](<https://devfeed.tech/tags/sunburst-visualization.md>), [technology-and-society](<https://devfeed.tech/tags/technology-and-society.md>), [transparency](<https://devfeed.tech/tags/transparency.md>), [users](<https://devfeed.tech/tags/users.md>)

### AI overview

An MIT Media Lab team introduces "neural transparency," an interface that visualizes internal patterns in AI models to help users anticipate how personalized chatbots may behave. The approach compares model activations associated with contrasting traits such as empathy, honesty, toxicity, hallucination, and sycophancy, then maps custom system prompts onto those behavior directions.

### Source excerpt

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

## New method aims to keep kids safe from illegal AI-generated content

DevFeed: [New method aims to keep kids safe from illegal AI-generated content](<https://devfeed.tech/articles/new-method-aims-to-keep-kids-safe-from-illegal-ai-generated-content-37976.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/new-method-keeps-kids-safe-from-illegal-ai-generated-content-0713>)

Author: Adam Zewe | MIT News

Published: 2026-07-13T04:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ai safety](<https://devfeed.tech/topics/ai-safety.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-deepfakes](<https://devfeed.tech/tags/ai-deepfakes.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [ashia-wilson](<https://devfeed.tech/tags/ashia-wilson.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [csam](<https://devfeed.tech/tags/csam.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [generative](<https://devfeed.tech/tags/generative.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [institute-for-medical-engineering-and-science-imes](<https://devfeed.tech/tags/institute-for-medical-engineering-and-science-imes.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [marzyeh-ghassemi](<https://devfeed.tech/tags/marzyeh-ghassemi.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [models](<https://devfeed.tech/tags/models.md>), [online-child-safety](<https://devfeed.tech/tags/online-child-safety.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [public-health](<https://devfeed.tech/tags/public-health.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [vinith-suriyakumar](<https://devfeed.tech/tags/vinith-suriyakumar.md>)

### AI overview

MIT researchers and Thorn developed an auditing technique that assesses whether a generative AI model has been specialized to produce child sexual abuse material without generating illegal outputs. In testing, the procedure identified specialized model variants with 100 percent accuracy.

### Source excerpt

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

## Q&A: What is agentic AI today, and what do we want it to be?

DevFeed: [Q&A: What is agentic AI today, and what do we want it to be?](<https://devfeed.tech/articles/q-a-what-is-agentic-ai-today-and-what-do-we-want-it-to-be-37939.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/agentic-ai-and-what-do-we-want-it-be-0630>)

Author: Adam Zewe | MIT News

Published: 2026-06-30T15:30:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [what is agentic AI](<https://devfeed.tech/topics/what-is-agentic-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [claude](<https://devfeed.tech/tags/claude.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [interview](<https://devfeed.tech/tags/interview.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [phillip-isola](<https://devfeed.tech/tags/phillip-isola.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>)

### AI overview

This Q&A explains agentic AI as systems that take actions in the physical or digital world, distinguishing them from generative AI systems that primarily produce content. It describes how agents combine foundation models such as Claude with application-specific tools and memory, and identifies limited training data for real-world tasks as a major development challenge.

### Source excerpt

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

## Inaugural Music Technology Research Showcase celebrates work of new graduate program's initial students

DevFeed: [Inaugural Music Technology Research Showcase celebrates work of new graduate program's initial students](<https://devfeed.tech/articles/inaugural-music-technology-research-showcase-celebrates-work-of-new-graduate-program-s-initial-students-37960.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/inaugural-mit-music-technology-research-showcase-celebrates-work-students-0629>)

Author: Dan Pecci | MIT Music and Theater Arts

Published: 2026-06-29T19:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Computing](<https://devfeed.tech/topics/computing.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agustin-rayo](<https://devfeed.tech/tags/agustin-rayo.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-in-music](<https://devfeed.tech/tags/ai-in-music.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [anna-huang](<https://devfeed.tech/tags/anna-huang.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [arts](<https://devfeed.tech/tags/arts.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [electronics](<https://devfeed.tech/tags/electronics.md>), [eran-egozy](<https://devfeed.tech/tags/eran-egozy.md>), [event](<https://devfeed.tech/tags/event.md>), [graduate-postdoctoral](<https://devfeed.tech/tags/graduate-postdoctoral.md>), [grisha-coleman](<https://devfeed.tech/tags/grisha-coleman.md>), [hip-hop](<https://devfeed.tech/tags/hip-hop.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mark-rau](<https://devfeed.tech/tags/mark-rau.md>), [media-lab](<https://devfeed.tech/tags/media-lab.md>), [mit-class-21m-369-569-tuning-attention-creative-practices-in-movement-sound-and-ai](<https://devfeed.tech/tags/mit-class-21m-369-569-tuning-attention-creative-practices-in-movement-sound-and-ai.md>), [mit-music-and-theater-arts](<https://devfeed.tech/tags/mit-music-and-theater-arts.md>), [mit-music-technology-and-computation-mtc-graduate-program](<https://devfeed.tech/tags/mit-music-technology-and-computation-mtc-graduate-program.md>), [mit-music-technology-research-showcase](<https://devfeed.tech/tags/mit-music-technology-research-showcase.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [mit-shass](<https://devfeed.tech/tags/mit-shass.md>), [mit-soe](<https://devfeed.tech/tags/mit-soe.md>), [music](<https://devfeed.tech/tags/music.md>), [music-and-theater-arts](<https://devfeed.tech/tags/music-and-theater-arts.md>), [music-in-eeg-signals](<https://devfeed.tech/tags/music-in-eeg-signals.md>), [music-technology](<https://devfeed.tech/tags/music-technology.md>), [network](<https://devfeed.tech/tags/network.md>), [paris-smaragdis](<https://devfeed.tech/tags/paris-smaragdis.md>), [paula-hammond](<https://devfeed.tech/tags/paula-hammond.md>), [performance](<https://devfeed.tech/tags/performance.md>), [performances](<https://devfeed.tech/tags/performances.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [school-of-humanities-arts-and-social-sciences](<https://devfeed.tech/tags/school-of-humanities-arts-and-social-sciences.md>), [special-events-and-guest-speakers](<https://devfeed.tech/tags/special-events-and-guest-speakers.md>), [students](<https://devfeed.tech/tags/students.md>)

### AI overview

MIT's Music Technology and Computation Graduate Program held its inaugural research showcase on May 13, featuring presentations and performances by its initial students, PhD students, and faculty. Projects included AI-assisted piano improvisation visualization, sound art using noisy network communication, dance-generated music, and EEG-based musical tune identification.

### Source excerpt

Associate Professor Anna Huang delivers the keynote address, "In Search of Human-AI Resonance," to a capacity crowd.

## Vibe Coding XR: Accelerating AI + XR prototyping with XR Blocks and Gemini

DevFeed: [Vibe Coding XR: Accelerating AI + XR prototyping with XR Blocks and Gemini](<https://devfeed.tech/articles/vibe-coding-xr-accelerating-ai-xr-prototyping-with-xr-blocks-and-gemini-6926.md>)

Original publisher: [Read original article](<https://research.google/blog/vibe-coding-xr-accelerating-ai-xr-prototyping-with-xr-blocks-and-gemini/>)

Published: 2026-03-25T09:14:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Vibe coding](<https://devfeed.tech/topics/vibe-coding.md>), [Android XR](<https://devfeed.tech/topics/android-xr.md>), [WebXR](<https://devfeed.tech/topics/webxr.md>), [3D web development](<https://devfeed.tech/topics/3d-web-development.md>), [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>), [long-context](<https://devfeed.tech/topics/long-context.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [creative technology](<https://devfeed.tech/topics/creative-technology.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [3d-web-development](<https://devfeed.tech/tags/3d-web-development.md>), [ai](<https://devfeed.tech/tags/ai.md>), [android-xr](<https://devfeed.tech/tags/android-xr.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [google](<https://devfeed.tech/tags/google.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [human-computer-interaction-and-visualization](<https://devfeed.tech/tags/human-computer-interaction-and-visualization.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [long-context](<https://devfeed.tech/tags/long-context.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [prototyping](<https://devfeed.tech/tags/prototyping.md>), [vibe-coding](<https://devfeed.tech/tags/vibe-coding.md>), [visualization](<https://devfeed.tech/tags/visualization.md>)

### AI overview

Google Research presents Vibe Coding XR, a rapid-prototyping workflow that combines Gemini Canvas with the open-source XR Blocks framework to turn natural-language prompts into interactive, physics-aware WebXR applications for Android XR. The workflow supports desktop simulation in Chrome and enables creators to test spatial interactions before deploying to headsets.

### Source excerpt

Human-Computer Interaction and Visualization

## Beyond one-on-one: Authoring, simulating, and testing dynamic human-AI group conversations

DevFeed: [Beyond one-on-one: Authoring, simulating, and testing dynamic human-AI group conversations](<https://devfeed.tech/articles/beyond-one-on-one-authoring-simulating-and-testing-dynamic-human-ai-group-conversations-6751.md>)

Original publisher: [Read original article](<https://research.google/blog/beyond-one-on-one-authoring-simulating-and-testing-dynamic-human-ai-group-conversations/>)

Published: 2026-02-10T18:30:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>), [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Script](<https://devfeed.tech/topics/script.md>)

Tags: [conversational-ai](<https://devfeed.tech/tags/conversational-ai.md>), [developers](<https://devfeed.tech/tags/developers.md>), [guides](<https://devfeed.tech/tags/guides.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [human-computer-interaction-and-visualization](<https://devfeed.tech/tags/human-computer-interaction-and-visualization.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

Google presents DialogLab, an open-source prototyping framework for authoring, simulating, and testing dynamic human-AI group conversations. It combines structured scripting with real-time improvisation and supports configuration of personas, group structures, turn-taking rules, and narrative transitions.

### Source excerpt

Human-Computer Interaction and Visualization

## AI literacy resources for teens and parents

DevFeed: [AI literacy resources for teens and parents](<https://devfeed.tech/articles/ai-literacy-resources-for-teens-and-parents-6289.md>)

Original publisher: [Read original article](<https://openai.com/index/ai-literacy-resources-for-teens-and-parents>)

Published: 2025-12-18T11:00:00Z

Content type: news

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Learning](<https://devfeed.tech/topics/learning.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [guides](<https://devfeed.tech/tags/guides.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [openai](<https://devfeed.tech/tags/openai.md>), [safety](<https://devfeed.tech/tags/safety.md>)

### AI overview

OpenAI introduces AI literacy resources for teens and parents that explain how AI models are trained, why they can be wrong, and how to use ChatGPT thoughtfully, safely, and confidently.

### Source excerpt

OpenAI shares new AI literacy resources to help teens and parents use ChatGPT thoughtfully, safely, and with confidence. The guides include expert-vetted tips for responsible use, critical thinking, healthy boundaries, and supporting teens through emotional or sensitive topics.

## Bringing architecture to life with Firebase Studio

DevFeed: [Bringing architecture to life with Firebase Studio](<https://devfeed.tech/articles/bringing-architecture-to-life-with-firebase-studio-16617.md>)

Original publisher: [Read original article](<https://firebase.blog/posts/2025/07/houseid-studio-showcase>)

Author: Romy El Sayah

Published: 2025-07-02T00:00:00Z

Content type: article

Language: en

Sources: [Firebase Blog](<https://devfeed.tech/sources/firebase-blog.md>)

Topics: [Firebase](<https://devfeed.tech/topics/firebase.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>), [Mobile](<https://devfeed.tech/topics/mobile.md>), [coding](<https://devfeed.tech/topics/coding.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [authentication](<https://devfeed.tech/tags/authentication.md>), [case-study](<https://devfeed.tech/tags/case-study.md>), [coding](<https://devfeed.tech/tags/coding.md>), [firebase](<https://devfeed.tech/tags/firebase.md>), [firebase-studio](<https://devfeed.tech/tags/firebase-studio.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [stripe](<https://devfeed.tech/tags/stripe.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>)

### AI overview

A creative technologist describes HouseID, a project that transforms user photos and facial features into architectural designs. After an earlier manual and pix2pixHD-based approach produced similar-looking buildings, the project was revisited with Firebase Studio to support a mobile-friendly experience and backend processing for long image-generation prompts.

### Source excerpt

News, tutorials, and updates from the Firebase team.

## Bill Atkinson's 10 rules for making interfaces more human

DevFeed: [Bill Atkinson's 10 rules for making interfaces more human](<https://devfeed.tech/articles/bill-atkinson-s-10-rules-for-making-interfaces-more-human-9533.md>)

Original publisher: [Read original article](<https://www.figma.com/blog/bill-atkinsons-10-rules-for-making-interfaces-more-human/>)

Author: Figma

Published: 2025-06-09T00:00:00Z

Content type: article

Language: en

Sources: [Figma Blog](<https://devfeed.tech/sources/figma-blog.md>)

Topics: [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>), [GUI](<https://devfeed.tech/topics/gui.md>), [Algorithms, Complexity](<https://devfeed.tech/topics/algorithms-complexity.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [cpu](<https://devfeed.tech/topics/cpu.md>)

Tags: [algorithms](<https://devfeed.tech/tags/algorithms.md>), [apple](<https://devfeed.tech/tags/apple.md>), [design](<https://devfeed.tech/tags/design.md>), [graphics](<https://devfeed.tech/tags/graphics.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [mac](<https://devfeed.tech/tags/mac.md>), [memory](<https://devfeed.tech/tags/memory.md>), [programming](<https://devfeed.tech/tags/programming.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

### AI overview

This article commemorates Apple engineer Bill Atkinson and presents 10 principles for making interfaces more human, drawing on his work on QuickDraw, MacPaint, and HyperCard. It emphasizes intuitive creative tools, human-computer interaction, efficient algorithms, and elegant solutions within severe hardware constraints.

### Source excerpt

We commemorate the Apple pioneer whose QuickDraw and HyperCard programs made the Macintosh intuitive enough for nearly anyone to use.

## Andrew "Boz" Bosworth's 10 rules for navigating the next design paradigm

DevFeed: [Andrew "Boz" Bosworth's 10 rules for navigating the next design paradigm](<https://devfeed.tech/articles/andrew-boz-bosworth-s-10-rules-for-navigating-the-next-design-paradigm-9501.md>)

Original publisher: [Read original article](<https://www.figma.com/blog/andrew-boz-bosworths-10-rules-for-navigating-the-next-design-paradigm/>)

Author: Andrew Bosworth

Published: 2025-05-19T00:00:00Z

Content type: article

Language: en

Sources: [Figma Blog](<https://devfeed.tech/sources/figma-blog.md>)

Topics: [Meta](<https://devfeed.tech/topics/meta.md>), [Figma](<https://devfeed.tech/topics/figma.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [conference](<https://devfeed.tech/tags/conference.md>), [figma](<https://devfeed.tech/tags/figma.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [keynote](<https://devfeed.tech/tags/keynote.md>), [meta](<https://devfeed.tech/tags/meta.md>), [product-development](<https://devfeed.tech/tags/product-development.md>), [technology](<https://devfeed.tech/tags/technology.md>)

### AI overview

Meta CTO Andrew "Boz" Bosworth shares 10 principles for navigating the next design paradigm, including solving real human problems, questioning inherited design constraints, and building for emerging technologies such as spatial computing and new forms of human-computer interaction.

### Source excerpt

Meta's Chief Technology Officer on consciousness, questioning design paradigms, and building for the future.

## Gina Wiley: My Journey So Far as a Senior Engineering Manager

DevFeed: [Gina Wiley: My Journey So Far as a Senior Engineering Manager](<https://devfeed.tech/articles/gina-wiley-my-journey-so-far-as-a-senior-engineering-manager-19713.md>)

Original publisher: [Read original article](<https://deliveroo.engineering/2025/02/20/my-journey-so-far.html>)

Author: Gina Wiley

Published: 2025-02-20T00:00:00Z

Content type: article

Language: en

Sources: [Deliveroo](<https://devfeed.tech/sources/deliveroo.md>)

Topics: [engineering-culture](<https://devfeed.tech/topics/engineering-culture.md>), [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>), [Shared Responsibility Model](<https://devfeed.tech/topics/shared-responsibility-model.md>)

Tags: [career](<https://devfeed.tech/tags/career.md>), [culture](<https://devfeed.tech/tags/culture.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [engineering-culture](<https://devfeed.tech/tags/engineering-culture.md>), [experience](<https://devfeed.tech/tags/experience.md>), [growth](<https://devfeed.tech/tags/growth.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [journey](<https://devfeed.tech/tags/journey.md>), [saas](<https://devfeed.tech/tags/saas.md>), [team](<https://devfeed.tech/tags/team.md>)

### AI overview

Gina Wiley describes her path from studying information systems and human-computer interaction to engineering management at Deliveroo. She discusses consulting, DoorDash, Deliveroo's New Verticals team, and her views on supporting engineers through ownership, resources, and clear career expectations.

### Source excerpt

Could you introduce yourself and your role at Deliveroo? I'm Gina, I'm a Senior Engineering Manager at Deliveroo. I lead our Consumer Experience group in our New Verticals engineering team, and I've been at Deliveroo for five years. Could you walk us through your path to engineering management and what brought you to Deliveroo? I studied information systems at university and developed an interest in human-computer interaction. This field emphasises understanding users and translating business processes into technical requirements. I moved to San Francisco for a tech consulting role, where I worked on a large-scale, multi-country project replacing legacy systems with connected Software as a Service (SaaS) products. This cross-functional experience shaped my understanding of end-to-end business process transformation through technology. In 2017, I joined DoorDash's Business Applications team, working on partner onboarding and support processes, which introduced me to logistics and delivery tech during a pivotal time for the industry. In 2020, I moved to London to work at Deliveroo, initially supporting restaurant partner onboarding in the Restaurants engineering group. I now work in the New Verticals engineering group, focusing on launching grocery and retail propositions. We've recently introduced a lot of new features to support this growing space; so continuing to innovate and deliver at pace to keep up with the changing market has been an exciting challenge! Reflecting on the role of engineering manager here, what do you think is the most rewarding part of this role? I enjoy seeing engineers on the team take on new challenges and push themselves out of their comfort zone to reach their full potential, so I'll make sure that they get access to the right resources and opportunities so that they can continue to learn and grow. It's important to trust your people to reach their growth goals with the right opportunities. I believe (and have seen throughout my career) t

## Adding it all up: The math behind designing your career

DevFeed: [Adding it all up: The math behind designing your career](<https://devfeed.tech/articles/adding-it-all-up-the-math-behind-designing-your-career-9488.md>)

Original publisher: [Read original article](<https://www.figma.com/blog/adding-it-all-up-the-math-behind-designing-your-career/>)

Author: Kylie Poppen

Published: 2020-12-01T00:00:00Z

Content type: opinion

Language: en

Sources: [Figma Blog](<https://devfeed.tech/sources/figma-blog.md>)

Topics: [math](<https://devfeed.tech/topics/math.md>), [Google](<https://devfeed.tech/topics/google.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>)

Tags: [career](<https://devfeed.tech/tags/career.md>), [careers](<https://devfeed.tech/tags/careers.md>), [google](<https://devfeed.tech/tags/google.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [math](<https://devfeed.tech/tags/math.md>), [work](<https://devfeed.tech/tags/work.md>)

### AI overview

The article presents career planning as a problem of interpreting limited data rather than following a predetermined path. It uses trend lines and scatterplots as metaphors for how people move among interests and jobs, and reflects on the significance of spending roughly 90,000 hours working.

### Source excerpt

Kylie offers a framework for how to approach the 90,000 hours that make up the average career, including reflections on her own path.

## Polymorphic Security Warnings May Reduce Habituation and Preserve User Adherence

DevFeed: [Polymorphic Security Warnings May Reduce Habituation and Preserve User Adherence](<https://devfeed.tech/articles/polymorphic-warnings-on-my-mind-36941.md>)

Original publisher: [Read original article](<https://shostack.org/blog/polymorphic-warnings-on-my-mind/>)

Author: Adam

Published: 2019-05-29T00:00:00Z

Content type: opinion

Language: en

Sources: [Shostack & Friends Blog](<https://devfeed.tech/sources/shostack-friends-blog.md>)

Topics: [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>), [Security](<https://devfeed.tech/topics/security.md>), [Mobile](<https://devfeed.tech/topics/mobile.md>), [Users](<https://devfeed.tech/topics/users.md>)

Tags: [effectiveness](<https://devfeed.tech/tags/effectiveness.md>), [experiment](<https://devfeed.tech/tags/experiment.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [paper](<https://devfeed.tech/tags/paper.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [security](<https://devfeed.tech/tags/security.md>)

### AI overview

The article discusses research on habituation to security warnings. The reported experiments found that attention and adherence declined with repeated exposure, while polymorphic warnings reduced the decline and helped maintain adherence to privacy permission warnings.

### Source excerpt

The more we see it, the more we ignore it.

## For the Love of Humans and Technology

DevFeed: [For the Love of Humans and Technology](<https://devfeed.tech/articles/for-the-love-of-humans-and-technology-1763.md>)

Original publisher: [Read original article](<https://signal.org/blog/for-humans-and-tech/>)

Published: 2015-01-22T00:00:00Z

Content type: article

Language: en

Sources: [Signal Blog](<https://devfeed.tech/sources/signal-blog.md>)

Topics: [User experience (UX)](<https://devfeed.tech/topics/ux.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>), [Security](<https://devfeed.tech/topics/security.md>), [Cryptography](<https://devfeed.tech/topics/cryptography.md>), [Software](<https://devfeed.tech/topics/software.md>)

Tags: [cryptography](<https://devfeed.tech/tags/cryptography.md>), [development](<https://devfeed.tech/tags/development.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [security](<https://devfeed.tech/tags/security.md>), [software](<https://devfeed.tech/tags/software.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>), [ux](<https://devfeed.tech/tags/ux.md>)

### AI overview

A UX designer reflects on her lifelong interest in organizing information and simplifying poorly designed systems. During Winter Break of Code at Open Whisper Systems, she considers how UX designers can help emerging information-security technology become useful and understandable to people. The article also introduces the historical importance of private and secure communication, including the use of seals.

### Source excerpt

Winter Break of Code Day Ten A couple of days ago, Jake, one of the brilliant full-timers on Open Whisper Systems, looked up from his laptop and asked me with a smile, "So, Yoko, what's your life story? How did you come to love humans so much?" It was a whimsical way of asking why I do what I do and why I am here. Having studied Human Computer Interaction and being a user experience (UX) designer, I've been asked variations of this question many times before. But it was on this trip I realized my answer needs a little probing. Read more...

## Winter Of Code Lineup 2014-2015

DevFeed: [Winter Of Code Lineup 2014-2015](<https://devfeed.tech/articles/winter-of-code-lineup-2014-2015-1877.md>)

Original publisher: [Read original article](<https://signal.org/blog/winter-lineup-2014/>)

Published: 2014-12-16T00:00:00Z

Content type: article

Language: en

Sources: [Signal Blog](<https://devfeed.tech/sources/signal-blog.md>)

Topics: [Security](<https://devfeed.tech/topics/security.md>), [human computer interaction](<https://devfeed.tech/topics/human-computer-interaction.md>), [User Experience](<https://devfeed.tech/topics/user-experience.md>), [Android](<https://devfeed.tech/topics/android.md>), [iOS](<https://devfeed.tech/topics/ios.md>), [Code](<https://devfeed.tech/topics/code.md>), [creative technology](<https://devfeed.tech/topics/creative-technology.md>)

Tags: [android](<https://devfeed.tech/tags/android.md>), [code](<https://devfeed.tech/tags/code.md>), [events](<https://devfeed.tech/tags/events.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [ios](<https://devfeed.tech/tags/ios.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [security](<https://devfeed.tech/tags/security.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>), [writing-code](<https://devfeed.tech/tags/writing-code.md>)

### AI overview

Open Whisper Systems announces its Winter of Code lineup for January 2014-2015, highlighting contributors working on privacy-enhancing technology, user experience for iOS and Android apps, digital media, and privacy-conscious software. The supplied article text is incomplete and ends mid-sentence.

### Source excerpt

Every year when we do this kind of call for proposals, our experience from past events sets our expectations higher. Even with really high expectations this time around, we were blown away by the number of high-quality proposals we received for this winter. It's inspiring to know how many people are thinking seriously about the development of privacy-enhancing technology, and we hope that one day we'll have a space large enough to accept all the proposals that we wish we could. The lineup for this January is set to be really great: Read more...