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Human-computer interaction

Designing technology that is more intuitive, accessible, and useful across the full range of human experiences.

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Published Date

Project

Project Gecko

A cross-lab initiative building equitable, trusted multilingual Copilots for population-scale use, starting with speech-first agricultural assistants for smallholder farmers in East Africa and South Asia

Publication

Addressing biomedical data challenges and opportunities to inform a large-scale data lifecycle for enhanced data sharing, interoperability, analysis, and collaboration across stakeholders

Vivek Sriram, Ashley Conard, Ilyana Rosenberg, Dokyoon Kim, Scott Saponas, Amanda K. Hall

Scientific Reports | February 2025, Vol 15

Publication

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents

Vardaan Pahuja, Yadong Lu, Corby Rosset, Boyu Gou, Arindam Mitra, Spencer Whitehead, Yu Su, Ahmed Awadallah

February 2025

Project

National AI Research Resource (NAIRR) Pilot

Microsoft is delighted to contribute as a lead supporter of the National AI Research Resource (NAIRR) pilot. (opens in new tab) The mission of the NAIRR pilot aligns with our commitment to broaden AI research…

Publication

A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond

Shreya Shukla, Jose Garrido Torres, Abhijit Mishra, Jacek Gwizdka, Shounak Roychowdhury

February 2025

arXiv | February 2025

Publication

Why (Not) Use AI? Analyzing People’s Reasoning and Conditions for AI Acceptability

Jimin Mun, Wei Bin Au Yeong, Wesley Deng, Jana Schaich Borg, Maarten Sap

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society | February 2025

Publication

Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User

Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain

2025 CHI Conference on Human Computer Interaction | February 2025

Project

Video

October 2024 CACM: AI Should Challenge, Not Obey

January 31, 2025 | Advait Sarkar, Richard Banks, Sean Rintel

Advait Sarkar discusses “AI Should Challenge, Not Obey,” an Opinion Article in the October 2024 CACM.

AI Should Challenge, Not Obey by Advait Sarkar

03:45

Publication

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System

Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong

Companion Proceedings of the ACM on Web Conference 2025 | January 2025

The Web Conference

Video

Embodied AI: Bridging the Gap Between the Digital and Physical World | AI House Davos 2025

January 24, 2025

This panel delves into the transformative potential of embodied AI systems, showcasing their ability to operate in unstructured, hazardous, or hard-to-reach environments. From autonomous driving—where these systems navigate and interact alongside human participants—to search and…

55:46