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 language | English |
|---|---|
| Title of host publication | CHI PLAY '20 |
| Subtitle of host publication | Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play |
| Place of Publication | New York |
| Pages | 18-20 |
| Number of pages | 3 |
| DOIs | |
| Publication status | Published - 30 Nov 2020 |
| Event | CHI PLAY: Computer-Human Interaction in Play - Virtual Duration: 2 Nov 2020 → 4 Nov 2020 Conference number: 6 https://chiplay.acm.org/2020/ |
Conference
| Conference | CHI PLAY: Computer-Human Interaction in Play |
|---|---|
| Abbreviated title | CHI PLAY '20 |
| Period | 2/11/20 → 4/11/20 |
| Internet address |
Keywords
- HCI
- trust
- reliance
- cognitive load
- performance
- task difficulty
- collaborative game
- agents