Conference proceeding
Metaphor - A tool for designing the next generation of human-building interaction
Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference Vol. 2, pp 149-158
01 Jan 2018
Abstract
Well known metaphors play an explanatory role in human-computer interaction (HCI) and support users in understanding an unfamiliar object with references to a familiar object, for example the desktop metaphor. Metaphors can also support designers in forming and exploring new concepts during the process of designing. We present metaphors that establish user expectations and provide guidance for new design concepts while integrating interactive technology in buildings to enable human-building interaction (HBI). HBI is a research area that studies how HCI research and practice provides opportunities for interactive buildings. Interactive experiences in architecture can be characterized by three metaphorical concepts: HBI as Device (user-centered view), HBI as Robot (building-centered view), and HBI as Friend (activity centered-view). These metaphors provide a tool for architects and HBI designers to explore designs that engage occupants' existing mental models from previous HCI experiences. We expand on each metaphor using analogical reasoning to define exploratory design spaces for HBI.
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Details
- Title
- Metaphor - A tool for designing the next generation of human-building interaction
- Creators
- Jingoog Kim - University of North Carolina at CharlotteMary Lou Maher - University of North Carolina at CharlotteJohn Gero - University of North Carolina at CharlotteEric Sauda - University of North Carolina at Charlotte
- Publication Details
- Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference Vol. 2, pp 149-158
- Conference
- eCAADe 2018, 36 (Lodz, Poland, 17 Sep 2018–21 Sep 2018)
- Publisher
- Ecaade-Education & Research Computer Aided Architectural Design Europe
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000507566000017
- Other Identifier
- 991022202927604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Software Engineering