Testing the Machine Heuristic: Robots and Suspicion in News Broadcasts

Patric R. Spence, Chad Edwards, Autumn Edwards, Xialing Lin

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

2 Scopus citations

Abstract

The purpose of this study was to test the strength of the machine heuristic; specifically when suspicion is primed in a message receiver concerning the veracity of information from a robot delivering news. Results demonstrate that low suspicion led to higher credibility evaluations, which consequently increased behavioral intentions. Findings are discussed in light of the MAIN model.

Original languageEnglish (US)
Title of host publicationHRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages568-569
Number of pages2
ISBN (Electronic)9781538685556
DOIs
StatePublished - Mar 22 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: Mar 11 2019Mar 14 2019

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2019-March
ISSN (Electronic)2167-2148

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
CountryKorea, Republic of
CityDaegu
Period3/11/193/14/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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