让机器人家具通过空间动作表达意图，提升人与建筑互动的可理解性。
Eliciting Understandable Architectonic Gestures for Robotic Furniture through Co-Design Improvisation
- 通过专家协作即兴设计，探索机器人隔断的空间手势策略。
- 提炼出20种独特手势，区分了指代、象征和空间索引三类表达方式。
- 为智能建筑与人交互提供可读的手势设计新范式，适合建筑交互研究者。
自适应建筑愿景认为，机器人技术可使室内空间与使用者进行双向物理互动。然而，这种互动如何以可理解的方式展开仍不明确。受人机交互研究启发——机器人家具通过在空间中的刻意定位或移动来传达意图——我们假设，移动式机器人隔断也可通过其动作向使用者传递意图。为此，我们邀请15位跨学科专家参与协同设计即兴工作坊，手动操控处于非激活状态的机器人隔断，设计表达六种不同目的与紧急程度的建筑意图。结合手势生成方法、运动追踪数据、基于拉班理论的问卷及主题分析，我们识别出20种独特的手势策略。通过分类，提出‘建筑手势’作为新型策略：通过索引性地利用其空间影响来传达意图，补充了已有的指示性与象征性手势。本研究为使自适应建筑的自主动作更具可读性迈出探索性一步。通过理解手势不仅取决于运动本身，更取决于其空间影响，我们推动了人机交互（HRI）与人-建筑交互研究的融合。
原文摘要 · Abstract (English)
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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