Brad Myers writes a proposal arguing that the fundamental building blocks of user interfaces—interaction techniques such as menus, scroll bars, and text fields—should themselves become more intelligent, enabling users to freely mix modalities like voice, text, and gesture even within a single interaction. He observes that these techniques were largely settled in the 1980s for graphical interfaces and saw only minor additions for touchscreens, while today's chat-based interfaces remain a separate paradigm from the traditional toolkit. The proposal calls for research into both new intelligent interaction techniques and the infrastructure needed to construct them, and flags significant security, privacy, and economic implications.
- A short 14 KB proposal rather than a full-length paper
- Cross-listed under both cs.HC and cs.AI
- Submitted 14 September 2026
- A short 14 KB proposal rather than a full-length paper
- Cross-listed under both cs.HC and cs.AI
- Submitted 14 September 2026
Publication list for Leigh Klotz from 1982 to 1994, featuring work on digital document storage and user interfaces.
This presentation explores how declarative programming can simplify complex application development. Through a practical walkthrough, the author constructs a functional, draggable map interface using OpenStreetMap tiles in approximately 150 lines of code. By focusing on defining what should happen rather than the step-by-step instructions of how to do it, this approach demonstrates how significant reductions in development effort and complexity can be achieved.
A workshop at CHI 2026 in Barcelona focusing on how sensemaking is being changed by AI, including submissions for papers on sensemaking behaviors, tools, and the role of AI. The workshop will involve presentations, group discussions, and the development of insights into the evolving field of sensemaking.
This article explores the potential of large language models (LLMs) to shift computing away from application-centric models towards a more dynamic, relational, and human-centered paradigm. It argues that LLMs can unlock the computer's full capabilities by mediating human intent and enabling a conversational style of interaction.
A summary of Antranig Basman's projects, including work with the Oregon Bee Atlas, the Infusion framework, spherical turtle graphics for NOAA's Science on a Sphere, the GPII/Morphic autopersonalization project, Darwin Online, and the RSF framework.
This paper introduces Pointer Assistant, an LLM-powered chatbot designed as a visual pointer alongside the user's mouse cursor to proactively assist with on-screen tasks. A study with 220 participants performing a financial budget planning task showed that the pointer-based, proactive design reduced task load, improved satisfaction, and increased the number of ideas generated compared to a traditional chat log interface. While participants found the assistant fun and helpful, feedback suggests improvements to its assertiveness could further enhance the user experience of human-AI collaboration.
Despite widespread computer training, many individuals still struggle with basic computer tasks. This study suggests that cognitive abilities, specifically fluid intelligence, are a stronger predictor of computer skill than the amount of training received. The research indicates that inherent intelligence plays a more crucial role in computer literacy than previously believed, challenging the focus on simply providing more training.
This blog post introduces the Semantic Telemetry project at Microsoft Research, which uses a data science approach to analyze how people interact with AI systems, specifically focusing on Copilot in Bing usage. It discusses the complexity of human-AI interactions and how they differ from traditional search.
- Topics: Copilot in Bing chats were analyzed for topic categorization. Technology (21%) was the most common topic, followed by Entertainment (12.8%), Health (11%), and others. Within technology, programming and scripting were prominent subtopics.
- Platform Differences: Mobile users tend to use Copilot for personal tasks, while desktop users engage in more professional activities.
- Topics: Copilot in Bing chats were analyzed for topic categorization. Technology (21%) was the most common topic, followed by Entertainment (12.8%), Health (11%), and others. Within technology, programming and scripting were prominent subtopics.
- Platform Differences: Mobile users tend to use Copilot for personal tasks, while desktop users engage in more professional activities.
Report of investigations of computing/video setting for unstructured collaborative work among people separated by space and time.
