Search (2 results, page 1 of 1)

  • × year_i:[2000 TO 2010}
  • × author_ss:"Allen, B."
  1. Allen, B.: Individual differences and the conundrums of user-centered design : two experiments (2000) 0.02 
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    Abstract
    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. 2 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 systems 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
  2. Kim, K.-S.; Allen, B.: Cognitive and task influences on Web searching behavior (2002) 0.01 
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    Abstract
    Users' individual differences and tasks are important factors that influence the use of information systems. Two independent investigations were conducted to study the impact of differences in users' cognition and search tasks on Web search activities and outcomes. Strong task effects were found on search activities and outcomes, whereas interactions between cognitive and task variables were found on search activities only. These results imply that the flexibility of the Web and Web search engines allows different users to complete different search tasks successfully. However, the search techniques used and the efficiency of the searches appear to depend on how well the individual searcher fits with the specific task

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