Abstract
When users interact with an interactive system to achieve goals, their knowledge is utilized, accumulated and generated, formulating and continuously modifying their mental models of the system. This process can be considered the users’ learning process of the system. The goal of this research is to identify users’ learning process through interaction, as well as to provide system designers with the knowledge on this process, so that they can employ such knowledge into the design process. This paper, in particular, investigates the relevant literature to form the standpoint of the overall research. The survey encompasses theories and methodologies from three different research areas: Cognitive Science, which provides the foundation of the basic concepts in a human cognitive process, and Human-Computer Interaction and Artificial Intelligence, which account for the Cognitive Science theories in more applicable ways. Although the previous works provide useful insights on the process of learning through user-system interaction, there is little research on integrated methodologies that are able to incorporate users’ learning process into design practice. Therefore, this study proposes a learning-based approach to interactive system design, which involves the conceptualization of learning processes, the implementation through knowledge representation, and the validation of this methodology. By doing so, it aims to provide users with easier and richer experiences in the use of interactive systems.
Keywords
design theory and methodology; learning-based approach; system design; cognitive psychology/cognitive science; mental models
Citation
Choi, J., and Sato, K. (2006) Framing a Learning-Based Approach to Interactive System Design, in Friedman, K., Love, T., Côrte-Real, E. and Rust, C. (eds.), Wonderground - DRS International Conference 2006, 1-4 November, Lisbon, Portugal. https://dl.designresearchsociety.org/drs-conference-papers/drs2006/researchpapers/78
Framing a Learning-Based Approach to Interactive System Design
When users interact with an interactive system to achieve goals, their knowledge is utilized, accumulated and generated, formulating and continuously modifying their mental models of the system. This process can be considered the users’ learning process of the system. The goal of this research is to identify users’ learning process through interaction, as well as to provide system designers with the knowledge on this process, so that they can employ such knowledge into the design process. This paper, in particular, investigates the relevant literature to form the standpoint of the overall research. The survey encompasses theories and methodologies from three different research areas: Cognitive Science, which provides the foundation of the basic concepts in a human cognitive process, and Human-Computer Interaction and Artificial Intelligence, which account for the Cognitive Science theories in more applicable ways. Although the previous works provide useful insights on the process of learning through user-system interaction, there is little research on integrated methodologies that are able to incorporate users’ learning process into design practice. Therefore, this study proposes a learning-based approach to interactive system design, which involves the conceptualization of learning processes, the implementation through knowledge representation, and the validation of this methodology. By doing so, it aims to provide users with easier and richer experiences in the use of interactive systems.