Print Email Facebook Twitter Resonance as a Design Strategy for AI and Social Robots Title Resonance as a Design Strategy for AI and Social Robots Author Lomas, J.D. (TU Delft Design Aesthetics) Lin, Albert (University of California) Dikker, Suzanne (New York University; Vrije Universiteit Amsterdam) Forster, D. (University of California) Lupetti, M.L. (TU Delft Design Aesthetics) Huisman, G. (TU Delft Human Information Communication Design) Habekost, Julika (University of California) Beardow, C.R. (TU Delft Design Aesthetics) van der Maden, W.L.A. (TU Delft Design Aesthetics) Date 2022 Abstract Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, and considers possibilities for enhancing the experience of resonance within human–robot interactions. We first introduce resonance as a widespread cultural and scientific metaphor. Then, we review the nature of “sympathetic resonance” as a physical mechanism. Following this introduction, the remainder of the article is organized in two parts. In part one, we review the role of resonance (including synchronization and rhythmic entrainment) in human cognition and social interactions. Then, in part two, we review resonance-related phenomena in robotics and artificial intelligence (AI). These two reviews serve as ground for the introduction of a design strategy and combinatorial design space for shaping resonant interactions with robots and AI. We conclude by posing hypotheses and research questions for future empirical studies and discuss a range of ethical and aesthetic issues associated with resonance in human–robot interactions. Subject AI for wellbeingdesign spaceentrainmenthuman-media interactionmetaphorresonancesocial roboticssynchronization To reference this document use: http://resolver.tudelft.nl/uuid:79f42e0f-5d47-4ed8-8268-06b9a2e52cae DOI https://doi.org/10.3389/fnbot.2022.850489 Source Frontiers in Neurorobotics, 16 Part of collection Institutional Repository Document type journal article Rights © 2022 J.D. Lomas, Albert Lin, Suzanne Dikker, D. Forster, M.L. Lupetti, G. Huisman, Julika Habekost, C.R. Beardow, W.L.A. van der Maden, More Authors Files PDF fnbot_16_850489.pdf 1.72 MB Close viewer /islandora/object/uuid:79f42e0f-5d47-4ed8-8268-06b9a2e52cae/datastream/OBJ/view