Cooking With Agents: Designing Context-aware Voice InteractionShow others and affiliations
Number of Authors: 82024 (English)In: CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems / [ed] Florian Floyd Mueller; Penny Kyburz; Julie R. Williamson; Corina Sas; Max L. Wilson; Phoebe Toups Dugas; Irina Shklovski, New York: Association for Computing Machinery (ACM), 2024, article id 551Conference paper, Published paper (Refereed)
Abstract [en]
Voice Agents (VAs) are touted as being able to help users in complex tasks such as cooking and interacting as a conversational partner to provide information and advice while the task is ongoing. Through conversation analysis of 7 cooking sessions with a commercial VA, we identify challenges caused by a lack of contextual awareness leading to irrelevant responses, misinterpretation of requests, and information overload. Informed by this, we evaluated 16 cooking sessions with a wizard-led context-aware VA. We observed more fluent interaction between humans and agents, including more complex requests, explicit grounding within utterances, and complex social responses. We discuss reasons for this, the potential for personalisation, and the division of labour in VA communication and proactivity. Then, we discuss the recent advances in generative models and the VAs interaction challenges. We propose limited context awareness in VAs as a step toward explainable, explorable conversational interfaces.
Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2024. article id 551
Keywords [en]
conversation analysis, conversational user interfaces, cooking, voice interfaces
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:su:diva-235784DOI: 10.1145/3613904.3642183ISI: 001255317905026Scopus ID: 2-s2.0-85194813506ISBN: 979-8-4007-0330-0 (print)OAI: oai:DiVA.org:su-235784DiVA, id: diva2:1915686
Conference
The ACM CHI conference on Human Factors in Computing Systems (CHI'24), O'ahu, USA, 11-16 May, 2024
2024-11-252024-11-252025-02-18Bibliographically approved