Interactive problem solving via algorithm visualization

• Published in: Proceedings of the IEEE Symposium on Information Visualization, p. 145-153
• IEEE, Piscataway, NJ, USA, 2000

COMIND is a tool for conceptual design of industrial products. It helps designers define and evaluate the initial design space by using search algorithms to generate sets of feasible solutions. Two algorithm visualization techniques, Kaleidoscope and Lattice, and one visualization of n-dimensional data, MAP, are used to externalize the machine's problem solving strategies and the tradeoffs as a result of using these strategies. After a short training period, users are able to discover tactics to explore design space effectively, evaluate new design solutions, and learn important relationships among design criteria, search speed, and solution quality. We thus propose that visualization can serve as a tool for interactive intelligence, i.e., human-machine collaboration for solving complex problems.

Keywords: Problem solving ; Interactive computer systems ; Visualization ; Algorithms ; Computer software ; Artificial intelligence ; Monte Carlo methods

Note:

Swiss Federal Inst of Technology, Lausanne, Switz

Reference

• HCI-ARTICLE-2000-001
• View record in Web of Science

Record created on 2008-01-14, modified on 2017-05-12