Patterns in information search for decision making: the effects of information abstraction

This paper reports on a study of abstraction in an information retrieval interface, where users had access to both detailed data and to two higher levels of abstraction of the data, in a multiple attribute alternative ranking situation. Through an experiment with a total of 76 subjects we found that, when they were not constrained by any built-in structure in their choice of information, there was a spectrum of use which combined various proportions of top-down search with opportunistic episodes (non-top-down branches to view various information attributes). We developed a measure of the degree of top-down search used, and found that this measure correlated positively with an increased propensity to use a compensatory decision strategy. Users also tended to reduce their use of top-down search in favour of more opportunistic search as they moved through the stages of the decision process. The degree of top-down search correlated significantly with a tendency to search within alternatives, but did not correlate with user domain experience. An implication of our findings is that, in order for a data retrieval interface to be implemented successfully, users should not be constrained by the system to follow a built-in search strategy, but should be allowed to develop their own search strategies through the use of a flexible interface.

[1]  Bruce D. Shriver,et al.  Research Directions in Object-Oriented Programming , 1987 .

[2]  J. Ford,et al.  Process tracing methods: Contributions, problems, and neglected research questions , 1989 .

[3]  Jens Rasmussen,et al.  The role of hierarchical knowledge representation in decisionmaking and system management , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Harold Ossher,et al.  A Mechanism for Specifying the Structure of Large, Layered Systems , 1987, Research Directions in Object-Oriented Programming.

[5]  Raymonde Guindon Designing the design process: exploiting opportunistic thoughts , 1990 .

[6]  Barbara Hayes-Roth,et al.  A Cognitive Model of Planning , 1979, Cogn. Sci..

[7]  Izak Benbasat,et al.  An Experimental Investigation Of The Relationship Between Decision Makers, Decision Aids and Decision Making Effort , 1993 .

[8]  John G. Burch Systems analysis, design, and implementation , 1992 .

[9]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[10]  Gary J. Cook,et al.  An Empirical Investigation of Information Search Strategies with Implications for Decision Support System Design , 1993 .

[11]  Oswald Huber,et al.  The influence of some task variables on cognitive operations in an information-processing decision model , 1980 .

[12]  Robin Jeffries,et al.  The Processes Involved in Designing Software. , 1980 .

[13]  Elliot Soloway,et al.  Empirical Studies of Programmers: Second Workshop , 1991 .

[14]  Simon P. Davies,et al.  Characterizing the program design activity : neither strictly top-down nor globally opportunistic , 1991 .

[15]  B. Dosher,et al.  Strategies for multiattribute binary choice. , 1983, Journal of experimental psychology. Learning, memory, and cognition.

[16]  Robert W. Zmud,et al.  Information systems in organizations , 1983 .

[17]  Joshua Klayman,et al.  Analysis of Predecisional Information Search Patterns , 1983 .

[18]  James H. Gerlach,et al.  An approach to dialog management for presentation and manipulation of composite models in decision support systems , 1990, Decis. Support Syst..

[19]  George W. Furnas,et al.  Multitrees: enriching and reusing hierarchical structure , 1994, CHI '94.

[20]  Robert P. Minch,et al.  COMPUTERIZED INFORMATION SYSTEMS SUPPORTING MULTICRITERIA DECISION MAKING , 1986 .

[21]  Izak Benbasat,et al.  An evaluation of empirical research in managerial support systems , 1990, Decis. Support Syst..