A Framework for Visualization of Space Usage Information Obtained from Interaction between Artificial Environment and Users' Action

• OHYA Tomoko

  Department of Human and Computer Intelligence, Ritsumeikan University Kyoto University, Graduate School of Informatics

• KAWAKAMI Hiroshi

  Kyoto University, Graduate School of Informatics

• FUKUDA Hirokazu

  Graduate School of Engeneering, Osaka Prefecture University

Bibliographic Information

Other Title

• ユーザの行動と人工環境の相互関係に基づく空間利用の可視表現の枠組み

Abstract

We propose a new approach for supporting user centered and “comfortable” spacial design such as buildings, plants or room and their indoor environment. Our research take users' subjectively-based approaches and describe users' cognitive evaluations for indoor environments which are depended on layouts of objects included in them, as both graphical and logical ways. In order to realize this framework, we adopt relationships between Mathematical Morphology: MM and Modal logic: ML which is work in theory and well-established by I. Bloch et al. Through the application of the theory we can propose a framework created from a collaboration of visual approach and hermeneutic approach. As a first step to make a sound model in this paper we compare evaluations of a room obtained from agent simulation construable with ML to image processing algorithm given Morphological operation. As a result supportive evidences and an actual use of correspondence relationship between MM and ML are found in so far as our simulation experiment. The result gives a way to construct a framework for describe what defies description such as user-centered evaluations, or subjective or cognitive judgments in bringing them to spatial designs.

Journal

• Transactions of Japan Society of Kansei Engineering

  Transactions of Japan Society of Kansei Engineering 10 (4), 535-542, 2011

  Japan Society of Kansei Engineering

Keywords

• Modal logic
• Mathematical Morphology
• Spatial Design
• Perceiving- Acting Cycle
• Mental Map

Details

• CRID: 1390282680301265664
• NII Article ID: 130002148549
• DOI: 10.5057/jjske.10.535
• ISSN: 18845258
• ISSN: 18840833
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed