Björn: An Interrogation Simulator

Roel Leenders, Pietro Camin, Ella Velner, Mariët Theune

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Abstract

This work presents a conversational agent (CA) that functions as a prototype for simulating interrogations. The solution implements a cognitive model that focuses on the interpersonal relationships between the CA and the user. This model can adjust the interpersonal stance of the CA based on the sentiment and phrasing of the user's utterances. As a result, the CA updates the friendliness and truthfulness of its responses accordingly.

Original languageEnglish
Title of host publicationHHAI2022: Augmenting Human Intellect
Subtitle of host publicationProceedings of the 1st International Conference on Hybrid Human-Artificial Intelligence
EditorsStefan Schlobach, Maria Perez-Ortiz, Myrthe Tielman
PublisherIOS
Pages269-271
Number of pages3
ISBN (Electronic)978-1-64368-309-6
ISBN (Print)978-1-64368-308-9
DOIs
Publication statusPublished - 19 Sept 2022
Event1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022 - Amsterdam, Netherlands
Duration: 13 Jun 202217 Jun 2022
Conference number: 1
https://www.hhai-conference.org/hhai2022/posters-and-demos/

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume354
ISSN (Print)0922-6389

Conference

Conference1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022
Abbreviated titleHHAI 2022
Country/TerritoryNetherlands
CityAmsterdam
Period13/06/2217/06/22
Internet address

Keywords

  • embodied conversational agent
  • interpersonal stance
  • interrogation
  • personality
  • response model
  • robot
  • sentiment

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