Joel E Fischer

Joel Fischer is Professor of Human-Computer Interaction in the School of Computer Science at the University of Nottingham and a member of the Mixed Reality Lab. His human-centred research sits at the intersection of HCI and artificial intelligence, examining how AI-infused technologies are adopted and embedded in everyday life and work, with particular interest in language- and speech-based conversational interaction. His team studies collaborative robotics and AI-driven applications spanning digital contact tracing, robots in social care, home life, creative and public engagement, cultural misalignment in image generators, and large language models in legal advice.

His interdisciplinary work combines social-science, design, and computing methods, including ethnomethodology, conversation analysis, design research, and technology deployments. Research themes include human-centred and responsible AI, accountable/explainable systems, collaboration and work practice, conversational agents, voice interaction, IoT, and everyday life.

• Current | School of Computer Science, University of Nottingham | Professor of Human-Computer Interaction
  • Member of the Mixed Reality Lab; his website lists research responsibilities in Responsible AI UK and the TAS Hub.
• Postdoctoral research | EPSRC ORCHID project | Human-agent collectives, home energy, and disaster-response research
• Earlier experience | Fraunhofer, Germany; PARC, United States (formerly Xerox PARC) | His website states that he worked at Fraunhofer and interned at PARC; years are not given.

• Responsible AI UK (2023–2028): listed on his website as Co-Investigator and Research Pillar Lead.
• UKRI Trustworthy Autonomous Systems Hub (2020–2024): research on socially embedded and trustworthy autonomous systems.
• RoboClean (2018–2020): human-robot collaboration and IoT sensing for allergen-aware factory cleaning.
• A-IoT (2016–2019), UbiDesign (2016–2017), and CharIoT (2014–2016): autonomous IoT interaction, ubiquitous-computing design, and home-energy data practices.

His website lists Best Paper awards at CHI 2024, CUI 2022, CUI 2019, CHI 2018, AAMAS 2015, CHI 2013, and CHI 2011. The publications page separately labels some papers as Best Paper Nominations; nominations are not presented as awards.

• 2011·University of Nottingham·PhD, Understanding Receptivity to Interruptions in Mobile Human-Computer Interaction

Primary sources include the personal website, Bio, Research, University people directory, PhD thesis, ResearchGate, and public paper contact details. Verified 2026-09-23. Google Scholar and LinkedIn links are retained, but their landing pages respectively failed to fetch and returned status 999 during this review; no internal profile facts or metrics were inferred from them.