Individual differences and the conundrums of user-centered design: two experiments

Individual differences between users of information systems can influence search performance. In user-centered design it is important to match users with system configurations that will optimize their performance. Two matching strategies were explored in the first experiment: the capitalization match, and the compensatory match. Findings suggest that a compensatory match is likely to be encountered more frequently in designing information systems. Having determined an optimal match between users and system configurations, it is necessary to find ways to ensure that users are guided to the appropriate configuration. The second experiment examined user selection of system configurations, and concluded that users do not act to optimize system configuration when they select features. This result suggests that information systems must have mechanisms such as user models to direct users to optimal configurations. These experiments suggest some of the complexities and problems encountered in applying individual differences research to user-centered design of information systems.

[1]  A. Paivio Mental Representations: A Dual Coding Approach , 1986 .

[2]  Karl Branting,et al.  Automated acquisition of user preferences , 1997, Int. J. Hum. Comput. Stud..

[3]  K. Andrews,et al.  Case study. Visualising cyberspace: information visualisation in the Harmony Internet browser , 1995, Proceedings of Visualization 1995 Conference.

[4]  Paul Whitney,et al.  The need for metrics in visual information analysis , 1997, NPIV '97.

[5]  Raymond W. Kulhavy,et al.  Comparing Elaboration and Dual Coding Theories: The Case of Maps and Text , 1993 .

[6]  Bryce Allen,et al.  Cognitive Abilities and Information System Usability , 1994, Inf. Process. Manag..

[7]  Angela M. O'Donnell Searching for Information in Knowledge Maps and Texts , 1993 .

[8]  Sandip Sen,et al.  An automated meeting scheduling system that utilizes user preferences , 1997, AGENTS '97.

[9]  Marti A. Hearst TileBars: visualization of term distribution information in full text information access , 1995, CHI '95.

[10]  Susan T. Dumais,et al.  Iterative Searching in an Online Database , 1991 .

[11]  Christine L. Borgman,et al.  All users of information retrieval systems are not created equal: An exploration into individual differences , 1989, Inf. Process. Manag..

[12]  R C Williges,et al.  Assaying and Isolating Individual Differences in Searching a Hierarchical File System , 1987, Human factors.

[13]  Bryce Allen Cognitive differences in end user searching of a CD-ROM index , 1992, SIGIR '92.

[14]  D. Dansereau,et al.  Knowledge maps and information processing strategies , 1991 .

[15]  Renée L. Babcock,et al.  An examination of the factor structure of four of the cognitive abilities included in the educational testing service kit of factor-referenced cognitive tests , 1997 .

[16]  Louis M. Gomez,et al.  No IFs, ANDs, or ORs: A Study of Database Querying , 1990, Int. J. Man Mach. Stud..

[17]  G Salvendy,et al.  Information visualization; assisting low spatial individuals with information access tasks through the use of visual mediators. , 1995, Ergonomics.

[18]  Kim J. Vicente,et al.  Accommodating Individual Differences in Searching a Hierarchical File System , 1988, Int. J. Man Mach. Stud..

[19]  K. Rittschof,et al.  Thematic Maps Improve Memory for Facts and Inferences: A Test of the Stimulus Order Hypothesis , 1994 .

[20]  Elizabeth G. Hetzler Beyond work relations: SIGIR '97 workshop , 1997, SIGF.

[21]  Robert R. Korfhage,et al.  Image organization using VIBE, a visual information browsing environment , 1995, Other Conferences.

[22]  M. McDaniel,et al.  Pictorial enhancement of text memory: Limitations imposed by picture type and comprehension skill , 1992, Memory & cognition.

[23]  Chris Gokey,et al.  SAIRE—a scalable agent-based information retrieval engine , 1997, AGENTS '97.

[24]  Peretz Shoval,et al.  Stereotypes in Information Filtering Systems , 1997, Inf. Process. Manag..

[25]  R. Kozma,et al.  Individuality in learning. , 1978 .

[26]  G. Huber Cognitive Style as a Basis for MIS and DSS Designs: Much ADO About Nothing? , 1983 .

[27]  Raymond W. Kulhavy,et al.  How geographic maps increase recall of instructional text , 1993 .

[28]  James J. Thomas,et al.  Visualizing the non-visual: spatial analysis and interaction with information from text documents , 1995, Proceedings of Visualization 1995 Conference.