OTHER
Testing the Machine Heuristic: Robots and Suspicion in News Broadcasts
Patric R. Spence, Chad Edwards, Autumn Edwards, Xialing Lin
- Year
- 2019
- Citations
- 10
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.
Keywords
CredibilityHeuristicRobotComputer scienceTest (biology)Artificial intelligenceMachine learningHeuristic evaluationNatural language processingHuman–computer interaction
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