Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues

Pei Yu Chen*, Myrthe L. Tielman, Dirk K.J. Heylen, Catholijn M. Jonker, M. Birna Van Riemsdijk

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

65 Downloads (Pure)

Abstract

For personal assistive technologies to effectively support users, they need a user model that records information about the user, such as their goals, values, and context. Knowledge-based techniques can model the relationships between these concepts, enabling the support agent to act in accordance with the user's values. However, user models require updating over time to accommodate changes and continuously align with what the user deems important. In our work, we propose and investigate the use of human-agent alignment dialogues for establishing whether user model updates are needed and acquiring the necessary information for these updates. In this paper, we perform an exploratory qualitative focus group study in which we investigate participants' opinions about written examples of alignment dialogues, as a foundation for their design. Transcripts were analyzed using thematic analysis. A main theme that emerged concerns the potential impact of agent utterances on the user's feelings about themselves and about the agent.

Original languageEnglish
Title of host publicationHHAI 2023
Subtitle of host publicationAugmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence
EditorsPaul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi
PublisherIOS Press
Pages93-107
Number of pages15
ISBN (Electronic)9781643683942
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023 - Munich, Germany
Duration: 26 Jun 202330 Jun 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume368
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023
Country/TerritoryGermany
CityMunich
Period26/06/2330/06/23

Keywords

  • Behaviour support technology
  • Conversational agents
  • Dialogue
  • Human-agent alignment
  • User modelling
  • Values

Fingerprint

Dive into the research topics of 'Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues'. Together they form a unique fingerprint.

Cite this