Articulating Mechanical Sympathy for Somaesthetic Human-Machine Relations

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Full-Body Interaction & Embodied InputDrone Interaction & ControlHuman-Nature Relationships (More-than-Human Design)Dancers & Performing ArtistsHCI ResearchersSociologists & Anthropologists

We present mechanical sympathy as a generative design concept for cultivating somaesthetic relationships with machines and machine-like systems. We identify the qualities of mechanical sympathy using the design case of How to Train your Drone, a unique human-drone research product designed to explore the process by which people discover and co-create the somaesthetic potential of drones. We articulate the qualities -- (i) machine-agency, (ii) oscillations, and (iii) aesthetic pursuits -- by using descriptive and reflective accounts of our design strategies and of our co-creators engaging with the system. We also discuss how each quality can extend soma design research; conceptualizing of appreciative, temporal, and idiosyncratic relationships with machines that can complement technical learning and enrich human-machine interaction. Finally, we ground our concept in a similar selection of works from across the HCI community.

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https://hci.top/en/papers/dis/164361/2024

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Paper Snapshot

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Source
DIS
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Year
2024
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Best Paper
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Authors
4 authors
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Subtopics
Full-Body Interaction & Embodied Input, Drone Interaction & Control, Human-Nature Relationships (More-than-Human Design)
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Professions
Dancers & Performing Artists, HCI Researchers, Sociologists & Anthropologists
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Abstract only
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1 related papers