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The Communicative Activity of "Making Suggestions" as an Interactional Process: Towards a Dialog Model for HAI

Published: 27 October 2017 Publication History

Abstract

Dialog modeling of making suggestions in human-agent interaction is a challenge due to the socially delicate nature of a suggestion and ensuing interactional negotiations. A basic first dialog model for making suggestions was tested in the context of schedule management assistance by an embodied conversational agent with elderly and mildly cognitively impaired persons. Analysis showed that users responded according to human social structures with most response types bearing potential challenges concerning the system's language understanding and the users' intention interpretation:next to explicit answers, users produced implicit versions for acceptance or resistance and further requests for information or modifications. Thus, an enhanced dialog model with a newly added clarification sequence and a new multi-conditional entry sequence was tested in a second study with the autonomous system. Initial observations show a promising performance of the dialog model.

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  • (2024)AI in situated action: a scoping review of ethnomethodological and conversation analytic studiesAI & SOCIETY10.1007/s00146-024-01919-xOnline publication date: 4-Jun-2024
  • (2023)Designing Robot Sound-In-InteractionProceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568162.3576979(172-182)Online publication date: 13-Mar-2023
  • (2022)Avoiding mixed messages: research-based fact-checking the media portrayals of voice user interfaces for older adultsHuman–Computer Interaction10.1080/07370024.2022.209812938:3-4(235-258)Online publication date: 14-Jul-2022
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    cover image ACM Conferences
    HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction
    October 2017
    550 pages
    ISBN:9781450351133
    DOI:10.1145/3125739
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    Publication History

    Published: 27 October 2017

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    Author Tags

    1. (non-)conforming answers
    2. conversation analysis
    3. dialog modeling
    4. suggestions
    5. yes-no-question turn design

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    Cited By

    View all
    • (2024)AI in situated action: a scoping review of ethnomethodological and conversation analytic studiesAI & SOCIETY10.1007/s00146-024-01919-xOnline publication date: 4-Jun-2024
    • (2023)Designing Robot Sound-In-InteractionProceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568162.3576979(172-182)Online publication date: 13-Mar-2023
    • (2022)Avoiding mixed messages: research-based fact-checking the media portrayals of voice user interfaces for older adultsHuman–Computer Interaction10.1080/07370024.2022.209812938:3-4(235-258)Online publication date: 14-Jul-2022
    • (2020)Reducing Task Load with an Embodied Intelligent Virtual Assistant for Improved Performance in Collaborative Decision Making2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR46266.2020.1581084624004(529-538)Online publication date: Mar-2020
    • (2019)Older Adults' Perception and Use of Voice User InterfacesProceedings of the 31st Australian Conference on Human-Computer-Interaction10.1145/3369457.3369506(423-427)Online publication date: 2-Dec-2019
    • (2017)Dealing with Long UtterancesProceedings of the 5th International Conference on Human Agent Interaction10.1145/3125739.3132586(341-345)Online publication date: 17-Oct-2017
    • (2017)Reprompts as error handling strategy in human-agent-dialog? User responses to a system's display of non-understanding2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2017.8172319(310-316)Online publication date: Aug-2017

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