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Cooking With Agents: Designing Context-aware Voice Interaction for Complex Tasks
Stockholm University Stockholm, Sweden.
UCL Interaction Centre University College London London, United Kingdom.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0001-7985-4057
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems.
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2024 (English)In: CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems, 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
Association for Computing Machinery (ACM) , 2024. article id 551
Keywords [en]
conversation analysis, conversational user interfaces, cooking, voice interfaces
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-347652DOI: 10.1145/3613904.3642183ISI: 001255317905026Scopus ID: 2-s2.0-85194813506OAI: oai:DiVA.org:kth-347652DiVA, id: diva2:1869247
Conference
2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024, Hybrid, Honolulu, United States of America, May 11 2024 - May 16 2024
Note

Part of ISBN 979-840070330-0

QC 20241015

Available from: 2024-06-12 Created: 2024-06-12 Last updated: 2024-10-15Bibliographically approved

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Kuoppamäki, SannaHosseini, Aida

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf