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Let's talk about it! : subjective and objective disclosures to social robots

  • Guy Laban
  • , Val Morrison
  • , Emily S. Cross

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

14 Citations (Scopus)

Abstract

This study aims to test the viability of using social robots for eliciting rich disclosures from humans to identify their needs and emotional states. Self-disclosure has been studied in the psychological literature in many ways, addressing both peoples' subjective perceptions of their disclosures, as well as objective disclosures evaluating these via direct observation and analysis of verbal and written output. Here we are interested in how people disclose (non-sensitive) personal information to robots, in an aim to further understand the differences between one's subjective perceptions of disclosure compared to evidence of disclosure from the shared content. An experimental design is suggested for evaluating disclosure to social robots compared to humans and conversational agents. Initial results suggest that while people perceive they disclose more to humans than to humanoid social robots or conversational agents, no actual observed differences in the content of the disclosure emerges between the three agents.

Original languageEnglish
Title of host publicationHRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, March 23-26, 2020, Cambridge, United Kingdom
PublisherAssociation for Computing Machinery
Pages328-330
Number of pages3
ISBN (Print)9781450370578
DOIs
Publication statusPublished - 23 Mar 2020
EventACM/IEEE Conference on Human-Robot Interaction -
Duration: 1 Jan 2020 → …

Conference

ConferenceACM/IEEE Conference on Human-Robot Interaction
Period1/01/20 → …

Bibliographical note

Publisher Copyright:
© 2020 ACM.

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