Eliciting Understandable Architectonic Gestures for Robotic Furniture through Co-Design Improvisation Article Swipe
Alex Binh Vinh Duc Nguyen
,
Jan Leusmann
,
Sven Mayer
,
Andrew Vande Moere
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.01813
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.01813
The vision of adaptive architecture proposes that robotic technologies could enable interior spaces to physically transform in a bidirectional interaction with occupants. Yet, it is still unknown how this interaction could unfold in an understandable way. Inspired by HRI studies where robotic furniture gestured intents to occupants by deliberately positioning or moving in space, we hypothesise that adaptive architecture could also convey intents through gestures performed by a mobile robotic partition. To explore this design space, we invited 15 multidisciplinary experts to join co-design improvisation sessions, where they manually manoeuvred a deactivated robotic partition to design gestures conveying six architectural intents that varied in purpose and urgency. Using a gesture elicitation method alongside motion-tracking data, a Laban-based questionnaire, and thematic analysis, we identified 20 unique gestural strategies. Through categorisation, we introduced architectonic gestures as a novel strategy for robotic furniture to convey intent by indexically leveraging its spatial impact, complementing the established deictic and emblematic gestures. Our study thus represents an exploratory step toward making the autonomous gestures of adaptive architecture more legible. By understanding how robotic gestures are interpreted based not only on their motion but also on their spatial impact, we contribute to bridging HRI with Human-Building Interaction research.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2501.01813
- https://arxiv.org/pdf/2501.01813
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406093446
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406093446Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2501.01813Digital Object Identifier
- Title
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Eliciting Understandable Architectonic Gestures for Robotic Furniture through Co-Design ImprovisationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-01-03Full publication date if available
- Authors
-
Alex Binh Vinh Duc Nguyen, Jan Leusmann, Sven Mayer, Andrew Vande MoereList of authors in order
- Landing page
-
https://arxiv.org/abs/2501.01813Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2501.01813Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2501.01813Direct OA link when available
- Concepts
-
Improvisation, Gesture, Human–computer interaction, Computer science, Architectural engineering, Communication, Engineering, Psychology, Visual arts, Art, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 4 |
| citation_normalized_percentile |