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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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