Abstract

Pervasive computing technology enables information systems to deliver their information services through diverse interactive products distributed across our activity space. For effectiveness and quality of information delivered to enhance user experiences, it is critical to shape information for delivery with appropriate contents, resolution, format, and timing according to user’s context changes. The concept of CSV (Context-Sensitive Visualization) has been proposed as a middleware for information systems and products development to deliver domain and system data to a user in context-sensitive way. Through the authors’ previous research, context has been defined as a set of user’s mental models activated by trigger elements in the given situation. The goal of this paper is to propose theoretical foundations to implement the concept of CSV by examining context models and exploring visualization schemes for the context models. Context models - how a user acquires and manipulates information in such a ubiquitous and pervasive environment - are surveyed and represented to provide criteria and scope for developing visualization schemes for CSV. Data encoded in knowledge-based information systems and products are visualized by integrating and dynamically mapping with two-layered visualization schemes: knowledge visualization and context model visualization. The main benefits of CSV are 1) improvement of information delivery and interaction quality by positioning information in user’s context model, and 2) the development of a common design framework to incorporate context-sensitivity into information system and product design for intelligent home, office, car, and mobile environments.

Keywords

Human Centered Design of Products and Systems, Knowledge Representation, User- Centered Design Research, Design Knowledge and Context-of-Use, Context-Sensitivity

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Nov 1st, 12:00 AM

Context-Sensitive Visualization for User-Centered Information System and Product Design

Pervasive computing technology enables information systems to deliver their information services through diverse interactive products distributed across our activity space. For effectiveness and quality of information delivered to enhance user experiences, it is critical to shape information for delivery with appropriate contents, resolution, format, and timing according to user’s context changes. The concept of CSV (Context-Sensitive Visualization) has been proposed as a middleware for information systems and products development to deliver domain and system data to a user in context-sensitive way. Through the authors’ previous research, context has been defined as a set of user’s mental models activated by trigger elements in the given situation. The goal of this paper is to propose theoretical foundations to implement the concept of CSV by examining context models and exploring visualization schemes for the context models. Context models - how a user acquires and manipulates information in such a ubiquitous and pervasive environment - are surveyed and represented to provide criteria and scope for developing visualization schemes for CSV. Data encoded in knowledge-based information systems and products are visualized by integrating and dynamically mapping with two-layered visualization schemes: knowledge visualization and context model visualization. The main benefits of CSV are 1) improvement of information delivery and interaction quality by positioning information in user’s context model, and 2) the development of a common design framework to incorporate context-sensitivity into information system and product design for intelligent home, office, car, and mobile environments.

 

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