Human-agent trust relationships in a real-time collaborative game

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Collaborative virtual agents are often deployed to help users make decisions in real-time. For this collaboration to work, users must adequately trust the agents that they are interacting with. In my research, I use a game where human-agent interactions are recorded via a logging system and survey instruments in order to explore this trust relationship. I then study the impact that different agents have on reliance, performance, cognitive load and trust. I seek to understand which aspects of an agent influence the development of trust the most. With this research, I hope to pave the way for trust-aware agents, capable of adapting their behaviours to users in real-time.
Original languageEnglish
Title of host publicationCHI PLAY '20
Subtitle of host publicationExtended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play
Place of PublicationNew York
Pages18-20
Number of pages3
DOIs
Publication statusPublished - 30 Nov 2020
EventCHI PLAY: Computer-Human Interaction in Play - Virtual
Duration: 2 Nov 20204 Nov 2020
Conference number: 6
https://chiplay.acm.org/2020/

Conference

ConferenceCHI PLAY: Computer-Human Interaction in Play
Abbreviated titleCHI PLAY '20
Period2/11/204/11/20
Internet address

Keywords

  • HCI
  • trust
  • reliance
  • cognitive load
  • performance
  • task difficulty
  • collaborative game
  • agents

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