Can semi-Anthropomorphism influence trust and compliance? Exploring image use in app interfaces

Dara Gruber, Ashley Aune, Wilma Koutstaal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Relying on automated suggestions from technology to make decisions has become a part of our everyday life. Most existing research examines trust in automation for high-risk domains as well as vast recommender systems for low-risk consumer use. This research aims to evaluate human trust in automated decision AIDS for low-risk everyday use, where one automated suggestion is presented and a few alternative options are available. In the current study, we investigate whether anthropomorphic imagery and information reliability can influence perceived trust of the automated decision aid. We report on results from 105 participants, which suggest that levels of semi-Anthropomorphic imagery do not influence trust in the way that a full anthropomorphic image of a human might. Our work contributes to a deeper understanding of how to utilize design, specifically visual imagery, to appropriately calibrate trust in automated decision AIDS for everyday use.

Original languageEnglish (US)
Title of host publicationProceedings of the Technology, Mind, and Society Conference, TechMindSociety 2018
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450354202
DOIs
StatePublished - Apr 5 2018
Event2018 Technology, Mind, and Society Conference, TechMindSociety 2018 - Washington, United States
Duration: Apr 5 2018Apr 7 2018

Publication series

NameACM International Conference Proceeding Series

Other

Other2018 Technology, Mind, and Society Conference, TechMindSociety 2018
Country/TerritoryUnited States
CityWashington
Period4/5/184/7/18

Bibliographical note

Publisher Copyright:
© 2018 Copyright held by the owner/author(s).

Keywords

  • ACM proceedings
  • Text tagging

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