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Preference Change in Persuasive Robotics

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arxiv 2206.10300 v1 pith:2AD65RVM submitted 2022-06-21 cs.RO cs.HC

Matija Franklin , Hal Ashton This is my paper · ORCID
classification cs.ROcs.HC
keywords behaviorchangepreferenceinfluencearticlepersuasiveriskrobot
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Human-robot interaction exerts influence towards the human, which often changes behavior. This article explores an externality of this changed behavior - preference change. It expands on previous work on preference change in AI systems. Specifically, this article will explore how a robot's adaptive behavior, personalized to the user, can exert influence through social interactions, that in turn change a user's preference. It argues that the risk of this is high given a robot's unique ability to influence behavior compared to other pervasive technologies. Persuasive Robotics thus runs the risk of being manipulative.

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Cited by 1 Pith paper

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  1. Why human-AI relationships need socioaffective alignment

    cs.HC 2025-02 conditional novelty 6.0 of 10

    The authors propose that AI alignment must account for the social and emotional relationships people form with personalized, agentic AI, and outline a 'socioaffective alignment' agenda.

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