ABSTRACT
This paper investigates the influence of interface styles on problem solving performance. It is often assumed that performance on problem solving tasks improves when users are assisted by externalizing task-related information on the interface. Although externalization requires less recall and relieves working memory, it does not instigate planning, understanding and knowledge acquisition. Without this assistance, task-information must be internalized, stored in the user's memory, leading to more planning and thinking and perhaps to better performance and knowledge. Another variable that can influence behavior is "Need for Cognition" (NFC), the tendency to engage in effortful cognitive tasks. We investigated the effects of interface style and cognitive style on performance using a conference planning application. Interface style influenced behavior and performance, but NFC did not. The internalization interface led to more planful behavior and smarter solutions. When planning and learning are the aim, designers should thus beware of giving a user (too) much assistance. Understanding how people react to interface information can be crucial in designing effective software, especially important in the areas of education and learning.
- Brusilovsky, P. Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11 (2001), 87--110. Google ScholarDigital Library
- Cacioppo, J.T., and Petty, R.E. The need for cognition. Journal of Personality and Social Psychology, 42 (1982), 116--131.Google ScholarCross Ref
- Cacioppo, J.T., Petty, R.E. and Kao, C.E. The efficient assessment of need for cognition. Journal of Personality Assessment, 48 (1984), 306--307.Google ScholarCross Ref
- Carrol, J.M. The Nurnberg Funnel: Designing Minimalist Instruction for Practical Computer Skill. MIT Press, Cambridge, MA, 1990. Google ScholarDigital Library
- Carroll, J.M. and Rosson, M.B. The paradox of the active user. In J.M. Carroll (Ed.), Interfacing Thought: Cognitive Aspects of Human-Computer Interaction. MIT Press, Cambridge, MA, USA, 1987. Google ScholarDigital Library
- Crystal, A. and Kalyanaraman, S. Personality variables and information processing on the web: Methodological issues and empirical evidence. Paper presented at the International Communication Association Annual Meeting (2005), 26--30.Google Scholar
- De Mul, S. and Van Oostendorp, H. Learning user interfaces by exploration. Acta Psychologica, 91 (1996), 325--344.Google ScholarCross Ref
- European UNFOLD Project. http://www.unfold-project.netGoogle Scholar
- Fu, W. and Gray, W.D. Resolving the paradox of the active user: stable suboptimal performance in interactive tasks. Cognitive Science, 28 (2004), 901--935.Google ScholarCross Ref
- Kort, B., Reilly, R. and Picard, R. External representation of learning process and domain knowledge: Affective state as a determinate of its structure and function. Paper presented at the 10th International Conference on Artificial Intelligence in Education, San Antonio, TX (2001).Google Scholar
- Mayes, J. T., Draper, S.W., McGregor, A.M. and Oatley, K. Information flow in a user interface: the effect of experience and context on the recall of MacWrite screens. In Proc. of the 4th Conference of the British Computer Society on People and computers (1988), 275--289. Google ScholarDigital Library
- Nielsen, J. Usability Engineering. Morgan Kaufmann, San Francisco, CA, USA, 1994. Google ScholarDigital Library
- O'Hara, K.P. and Payne, S.J. The effects of operator implementation cost on planfulness of problem solving and learning. Cognitive Psychology, 35, 1 (1998), 34--70.Google ScholarCross Ref
- O'Hara, K.P. and Payne, S.J. Planning and the user interface: The effects of lockout time and error recovery cost. International Journal of Human-Computer Studies, 50, 1 (1999), 41--59. Google ScholarDigital Library
- Palmiter, S. and Elkerton, J. An evaluation of demonstrations for learning computer based tasks. In Proc. of the SIGCHI conference on Human factors in computing systems: Reaching through technology (1991), 257--263. Google ScholarDigital Library
- Payne S.J., Howes, A. and Reader, W.R. Adaptively distributing cognition: A decision-making perspective on human-computer interaction. Behaviour & Information Technology, 20, 5 (2001), 339--346.Google ScholarCross Ref
- Scaife, M. and Rogers, Y. External cognition: How do graphical representations work? International Journal of Human-Computer Studies, 45, 2 (1996), 185--213. Google ScholarDigital Library
- Svendsen, G.B. The influence of interface style on problem solving. International Journal for Man-Machine Studies, 35 (1991), 379--397. Google ScholarDigital Library
- Tognazzini, B. Ten Most Wanted Design Bugs (2004). http://www.asktog.com/Bughouse/10MostWantedDesignBugs.htmlGoogle Scholar
- Van Nimwegen, C., Van Oostendorp, H. and Tabachneck-Schijf, H.J.M. Does context sensitivity in the interface help? In Proc. of the Twelfth European Conference on Cognitive Ergonomics, European Asociation of Cognitive Ergonomics (2004), 29--33.Google Scholar
- Van Nimwegen, C., Van Oostendorp, H. and Tabachneck-Schijf, H.J.M. The over-assisting interface: The role of support in knowledge acquisition. In Proc. of HCI2004: Design for Life, Research Press International (2004), 133--136. Google ScholarDigital Library
- Van Nimwegen, C., Van Oostendorp, H. and Tabachneck-Schijf, H.J.M. The role of interface style in planning during problem solving. In Proc. The 27th Annual Cognitive Science Conference, Lawrence Erlbaum (2005), 2771--2776.Google Scholar
- Van Oostendorp, H. and De Mul, S. Learning by exploration: Thinking aloud while exploring an information system. Instructional Science, 27 (1999), 269--284.Google ScholarCross Ref
- Zhang, J., and Norman, D. A. Representations in distributed cognitive tasks. Cognitive Science, 18 (1994), 87--122.Google ScholarCross Ref
Index Terms
- The paradox of the assisted user: guidance can be counterproductive
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