Inbody Interactions
Nanayakkara, Suranga Inami, Masahiko Kunze, Kai Churchill, Elizabeth Chen, Kanyu Peng, Danyang Sasikumar, Prasanth Wei, Yize Nguyen, Mia Huong
Nanayakkara, Suranga
Inami, Masahiko
Kunze, Kai
Churchill, Elizabeth
Chen, Kanyu
Peng, Danyang
Sasikumar, Prasanth
Wei, Yize
Nguyen, Mia Huong
Supervisor
Department
Human Computer Interaction
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Type
Conference proceeding
Date
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Language
English
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Research Projects
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Journal Issue
Abstract
An emerging paradigm in human-computer interaction addresses systems that bidirectionally sense and influence internal physiological states (cardiac rhythms, respiratory patterns, metabolic activity, and gastric function). Unlike traditional interfaces that respond to voluntary user actions, these interoceptive systems engage with signals users often cannot directly perceive or control, creating closed-loop interactions between computing systems and inbody states. Such systems can modulate autonomic responses, guide breathing patterns, or influence metabolic states through coordinated sensory stimulation, with applications ranging from stress management to emotion regulation. While recent research demonstrates technical feasibility across individual modalities (cardiac biofeedback through haptic stimulation, respiratory guidance through thermal cues, metabolic monitoring through continuous sensing) fundamental questions remain unaddressed: How do we design interaction paradigms for internal states? What computational frameworks enable real-time adaptation of interventions to individual physiological responses? How do we coordinate multiple organ systems within unified interaction architectures? What ethical boundaries govern systems that influence autonomic function? This workshop brings together researchers from human-computer interaction, affective computing, physiological psychology, biosignal processing, and ethics to develop systematic frameworks for interoceptive manipulation, map the design space for closed-loop internal state interfaces, establish ethical guidelines for bidirectional physiological computing, and examine applications in emotion regulation while preserving user agency and bodily autonomy.
Citation
S. Nanayakkara, M. Inami, K. Kunze, E. Churchill, K. Chen, D. Peng , et al., "Inbody Interactions," 2026, pp. 733-736.
Source
AHs '26: Proceedings of the Augmented Humans International Conference 2026
Conference
Proceedings of the Augmented Humans International Conference 2026
Keywords
46 Information and Computing Sciences, 4608 Human-Centred Computing
Subjects
Source
Proceedings of the Augmented Humans International Conference 2026
Publisher
Association for Computing Machinery