Abstract
Conversational interfaces are quickly becoming a prominent type of intelligent user interface. However, much of the current work has focused on dyadic interaction between a single user and a single conversational agent. The aim of my PhD thesis is to examine how conversational interfaces can be adapted to support humans engaged in a team task. My work so far has identified the key types of functionality such conversational interfaces should entail and via a series of a Wizard of Oz studies I have validated these findings, and obtained the data needed to train a conversational model to support human-artificial agent teaming. My aim at the Doctoral Consortium would be seek guidance from and form research collaborations with my peers on a general approach to designing, training and evaluating collaborative conversational agents for human-machine teaming.
| Original language | English |
|---|---|
| Title of host publication | IUI 2023 |
| Subtitle of host publication | Companion Proceedings of the 28th International Conference on Intelligent User Interfaces |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery |
| Pages | 211-213 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798400701078 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | International Conference on Intelligent User Interfaces (28th : 2023) - Sydney, Australia Duration: 27 Mar 2023 → 31 Mar 2023 |
Conference
| Conference | International Conference on Intelligent User Interfaces (28th : 2023) |
|---|---|
| Abbreviated title | IUI 2023 |
| Country/Territory | Australia |
| City | Sydney |
| Period | 27/03/23 → 31/03/23 |
Keywords
- collaborative interfaces
- conversational user interface
- human-agent teaming
- Wizard of Oz
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