Item Type |
Conference or Workshop Item
(Paper)
|
Abstract |
Human-agent interaction is increasingly influencing our personal and work lives through the proliferation of conversational agents in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicate that CA interaction oftentimes fails miserably. To reduce these failures, this paper introduces the concept of building common ground for more successful human-agent interactions. Based on a systematic review our analysis reveals five mechanisms for achieving common ground: (1) Embodiment, (2) Social Features, (3) Joint Action, (4) Knowledge Base, and (5) Mental Model of Conversational Agents. On this basis, we offer insights into grounding mechanisms and highlight the potentials when considering common ground in different human-agent interaction processes. Consequently, we secure further understanding and deeper insights of possible mechanisms of common ground in human-agent interaction in the future. |
Authors |
Tolzin, Antonia & Janson, Andreas |
Research Team |
IWI6 |
Projects |
Janson, Dr. Andreas
(2020)
International Postdoctoral Fellowship
[fundamental research project]
|
Journal or Publication Title |
Hawaii International Conference on System Sciences (HICSS) |
Language |
English |
Keywords |
common ground, conversational agent, human-agent interaction, systematic review |
Subjects |
information management |
HSG Classification |
contribution to scientific community |
Date |
6 January 2023 |
Place of Publication |
Maui, Hawaii, USA |
Event Title |
Hawaii International Conference on System Sciences (HICSS) |
Event Location |
Maui, Hawaii, USA |
Event Dates |
03-06 Jan 2023 |
Depositing User |
Dr. Mahei Li
|
Date Deposited |
06 Oct 2022 15:04 |
Last Modified |
23 Jan 2023 14:00 |
URI: |
https://www.alexandria.unisg.ch/publications/267537 |