Stuart Reeves

Stuart Reeves is an Associate Professor in the School of Computer Science at the University of Nottingham. He is also a member of the Mixed Reality Lab, the Horizon research institute and CDT, and the Social Interaction and Technology (SIT) Special Interest Group. His research focuses on social and collaborative technologies and how people use diverse interactive devices and systems in real-world situations and places. His homepage lists interests in human-computer interaction, collaborative computing, design research, ethnomethodology, and conversation analysis (EMCA). Personal website

• Current | School of Computer Science, University of Nottingham | Associate Professor
  • Researches social and collaborative technologies, human-computer interaction, and their use in real-world settings.
• October 2013–2018·University of Nottingham·EPSRC Early Career Fellowship
  • Investigated connections between academic HCI and UX/design professional practice; the homepage names Microsoft Research Cambridge and Palo Alto Research Center as industry partners. Fellowship information

• 2024 | Encountering autonomous robots on public streets | ACM/IEEE HRI 2024 Best Paper Award. Publications
• 2015 | I'd Hide You: Performing live broadcasting in public | ACM CHI 2015 Honourable Mention Award. Publications
• 2005 | Designing the spectator experience | ACM CHI 2005 Best Paper Award. Publications

• April 2008·School of Computer Science, University of Nottingham·PhD thesis, Designing interfaces in public settings
  • Examined interface design in public settings and the role of spectators/audiences in interaction. Complete publications

• Primary sources: personal website, complete publications, and GitHub account.
• Fact-check date: 2026-09-23. The homepage directly supplies the Google Scholar, GitHub, ORCID, and Medium links; the Google Scholar and ORCID landing pages did not expose body text in this tool, so no citation counts or internal account biography are claimed. A LinkedIn candidate was not included; see the evidence record for the access and attribution limitation.