#human-computer-interaction

A person with a brain-computer interface implant describes the daily experience of using the experimental technology. The implant allows direct communication between brain signals and external devices, requiring regular calibration and maintenance. Users report both the challenges of living with medical hardware and the benefits of restored capabilities.

A study found that AI-generated voices are easier to understand than human voices, especially for people with hearing impairments. The research suggests AI voices could improve accessibility in communication technologies.

A study found that AI chatbots that use flattery and social-emotional language gain more trust from users. Researchers discovered that people are more likely to trust AI systems that employ conversational strategies like praise and empathy. The findings suggest that how AI communicates significantly impacts user perception and trust.

Tambo is developing a new user experience technology that aims to move beyond traditional clicking interfaces. The system uses alternative interaction methods to potentially revolutionize how users engage with digital interfaces.

A researcher seeks connections with medical professionals and experts in EEG, neuroscience, and cognitive science to study attention and engagement with digital content. They are looking for advice on appropriate EEG setups, what can be reliably measured, and potential introductions to relevant labs or research groups.

The article presents Larry Tesler's personal history of developing modeless text editing and the cut/copy-paste paradigm. It details his work at Xerox PARC and Apple that revolutionized user interface design. These innovations fundamentally changed how people interact with computers.

The article discusses collective superstitions among people who interact with machines, examining patterns in how humans anthropomorphize technology and develop ritualistic behaviors when communicating with artificial systems.

The article critiques how large language models are anthropomorphized as human-like assistants, which excuses their unreliability and encourages emotional bonds with users. This framing conflicts with the tools' actual performance, as they become less accurate with more prompting despite conversational interfaces.

The article criticizes how tech companies design software to behave like manipulative salespeople rather than precise machines. It argues this damages people's understanding of computers by conditioning them to accept unreliable, pushy interactions instead of clear, deterministic commands.

The article presents a Socratic dialogue exploring whether chat is an effective user interface for AI. It examines the tension between design critiques of chat interfaces and their widespread adoption in AI products.

The article critiques the "copilot" metaphor for AI, referencing a 1992 talk by researcher Mark Weiser. It argues that instead of AI copilots, we need AI HUDs (heads-up displays) as a better design approach for human-AI interaction.

The article argues that current small screens restrict human movement and expression, while desk-sized touch screens could create a transformative computing experience. Such large screens would allow more natural interaction with technology through broader physical movement and expanded visual fields.

Andrew Ng discusses voice as a UI layer for visual applications, where speech and screen updates synchronize. He highlights Vocal Bridge's dual-agent architecture that addresses latency issues in voice AI systems. Ng shares his experience using Vocal Bridge to add voice functionality to a math-quiz app for his daughter.