Emotional Contagion System By Perceiving Human Emotion Based on Physiological Signals

Li, Minjia; Xie, Liang-Liang; Tan, Zhiling; Wang, Zhiliang; Ren, Fuji

doi:10.1109/aciiasia.2018.8470348

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Moreover, the integration of sensory technologies that capture human physiological signals has opened new avenues for developing emotionally intelligent robots [5,17]. A systematic review by Destyanto et al (2023) highlights the significant strides made in leveraging physiological data and wearable devices for emotion recognition [7].…”

Section: Current Methodologies For Emotional Contagion In Hrimentioning

confidence: 99%

“…This comprehensive analysis underscores the diverse array of physiological signals, such as brain activity, heart rate, and skin conductivity, employed in contemporary research, alongside innovative experimental methods, and classification algorithms. Also, a multimodal approach in which, by perceiving human emotions through physiological signals, such as heart rate or skin conductivity, robots can adapt their behaviors and responses in real-time, aligning with the user's emotional state [17,26]. Table 1 presents a consolidated view of the multimodal methodologies utilized in HRI research to analyze and facilitate emotional contagion, categorizing distinct approaches such as visual and auditory cues, tactile feedback, and complex physiological and neurological signals.…”

Section: Current Methodologies For Emotional Contagion In Hrimentioning

confidence: 99%

“…EMF detection complements by providing emotional states independently of auditory conditions, ensuring a robust mechanism for emotional analysis that combines sound and electromagnetic signals Enhancing Physiological Signal Analysis: Offers direct insights into emotional arousal through physiological signals. EMF detection provides a non-invasive, no-contact alternative, complementing physiological analysis and broadening emotional contagion applications in HRI [17].…”

Section: Justifying Emf Detection In Hri Modalitiesmentioning

confidence: 99%

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Conceptualizing Electromagnetic Field Detection for Emotional Contagion in Hri: Towards a Multimodal Approach

Valluri

2024

Preprint

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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.

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Section: Current Methodologies For Emotional Contagion In Hrimentioning

confidence: 99%

Section: Current Methodologies For Emotional Contagion In Hrimentioning

confidence: 99%

Section: Justifying Emf Detection In Hri Modalitiesmentioning

confidence: 99%

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Conceptualizing Electromagnetic Field Detection for Emotional Contagion in Hri: Towards a Multimodal Approach

Valluri

2024

Preprint

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“…Each of these implementations varied greatly in complexity. For example Markov models could range from simple first order implementations [25] to complex hidden Markov models [26].…”

Section: Step 3: Emotional Codingmentioning

confidence: 99%

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Savery¹,

Weinberg²

2020

Preprint

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As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1427 IEEE and ACM publications that include robotics and emotion. This includes broad categorizations of trends in emotion input analysis, robot emotional expression, studies of emotional interaction and models for internal processing. We then focus on 232 papers that present internal processing of emotion, such as using a humans emotion for better interaction or turning environmental stimuli into an emotional drive for robotic path planning. We conducted constant comparison analysis of the 232 papers and arrived at three broad categorization metrics -emotional intelligence, emotional model and implementation -each including two or three subcategories. The subcategories address the algorithm used, emotional mapping, history, the emotional model, emotional categories, the role of emotion, the purpose of emotion and the platform. Our results show a diverse field of study, largely divided by the role of emotion in the system, either for improved interaction, or improved robotic performance. We also present multiple future opportunities for research and describe intrinsic challenges common in all publications.

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Robots and emotion: a survey of trends, classifications, and forms of interaction

Savery

Weinberg

2021

Advanced Robotics

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Emotional Contagion System By Perceiving Human Emotion Based on Physiological Signals

Cited by 5 publications

References 15 publications

Conceptualizing Electromagnetic Field Detection for Emotional Contagion in Hri: Towards a Multimodal Approach

Conceptualizing Electromagnetic Field Detection for Emotional Contagion in Hri: Towards a Multimodal Approach

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Robots and emotion: a survey of trends, classifications, and forms of interaction

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