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RESEARCH PRODUCT
Automation Inner Speech as an Anthropomorphic Feature Affecting Human Trust: Current Issues and Future Directions
Alessandro GeraciAlessandro GeraciAntonella D'amicoArianna PipitoneValeria SeiditaAntonio Chellasubject
Computer sciencemedia_common.quotation_subject050105 experimental psychologyHuman–robot interactionhuman-robot interactioninner speechArtificial IntelligenceHuman–computer interactionHypothesis and TheoryTJ1-1570Feature (machine learning)0501 psychology and cognitive sciencesMechanical engineering and machinery050107 human factorsmedia_commonautomationRobotics and AIComputational modelhuman-automation interaction05 social sciencesInternal monologueanthropomorphismtrustrobotQA75.5-76.95Transparency (behavior)Computer Science ApplicationsCovertanthropomorphism automation human-automation interaction human-robot interaction inner speech robot trustElectronic computers. Computer scienceRobotConsciousnessdescription
This paper aims to discuss the possible role of inner speech in influencing trust in human–automation interaction. Inner speech is an everyday covert inner monolog or dialog with oneself, which is essential for human psychological life and functioning as it is linked to self-regulation and self-awareness. Recently, in the field of machine consciousness, computational models using different forms of robot speech have been developed that make it possible to implement inner speech in robots. As is discussed, robot inner speech could be a new feature affecting human trust by increasing robot transparency and anthropomorphism.
year | journal | country | edition | language |
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2021-04-01 | Frontiers in Robotics and AI |