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On the impact of robot personalization on human-robot interaction: A review
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This study reviews the impact of personalization on human-robot interaction. Firstly, the various strategies used to achieve personalization are briefly described. Secondly, the effects of personalization known to date are discussed. They are presented along with the personalized parameters, personalized features, used technology, and use case they relate to. It is observed that various positive effects have been discussed in the literature while possible negative effects seem to require further investigation.
Forward citations
Cited by 2 Pith papers
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Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction
A lifecycle-based and context-sensitive framework maps how ethical risks of personalisation emerge and evolve across human-robot interaction settings.
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Personalized Mental State Evaluation in Human-Robot Interaction using Federated Learning
A federated stress-prediction model trained on device matched centralized accuracy and local fine-tuning improved per-person accuracy in a 33-subject assembly task.
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