Version 1
: Received: 19 February 2024 / Approved: 19 February 2024 / Online: 19 February 2024 (09:27:22 CET)
How to cite:
Valluri, D.D. Conceptualizing Electromagnetic Field Detection for Emotional Contagion in HRI: Towards a Multimodal Approach. Preprints2024, 2024021032. https://doi.org/10.20944/preprints202402.1032.v1
Valluri, D.D. Conceptualizing Electromagnetic Field Detection for Emotional Contagion in HRI: Towards a Multimodal Approach. Preprints 2024, 2024021032. https://doi.org/10.20944/preprints202402.1032.v1
Valluri, D.D. Conceptualizing Electromagnetic Field Detection for Emotional Contagion in HRI: Towards a Multimodal Approach. Preprints2024, 2024021032. https://doi.org/10.20944/preprints202402.1032.v1
APA Style
Valluri, D.D. (2024). Conceptualizing Electromagnetic Field Detection for Emotional Contagion in HRI: Towards a Multimodal Approach. Preprints. https://doi.org/10.20944/preprints202402.1032.v1
Chicago/Turabian Style
Valluri, D.D. 2024 "Conceptualizing Electromagnetic Field Detection for Emotional Contagion in HRI: Towards a Multimodal Approach" Preprints. https://doi.org/10.20944/preprints202402.1032.v1
Abstract
This conceptual paper explores the potential of integrating Electromagnetic Fields (EMF) with traditional physiological signals to enhance emotional contagion in Human-Robot Interaction (HRI). A focused literature review identifies gaps in current HRI models that rely solely on visual, auditory, and known physiological cues for emotional exchange. A novel framework is proposed, incorporating EMF as a complementary modality, aiming to deepen emotional synchronization between humans and robots. The paper lays groundwork for future research to consider EMF detection as a complementary modality alongside traditional cues. It also addresses technological requirements and discusses potential limitations. By extending the modalities used in emotional contagion, this work seeks to advance the development of more intuitive and empathetic robotic systems.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
