User effort in query construction and interface selection
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Why batch and user evaluations do not give the same results
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Web searching: a process-oriented experimental study of three interactive search paradigms
Journal of the American Society for Information Science and Technology
When will information retrieval be "good enough"?
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
User performance versus precision measures for simple search tasks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Twenty-five years of end-user searching, Part 1: Research findings
Journal of the American Society for Information Science and Technology
User adaptation: good results from poor systems
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of multiple query reformulations on the web: The interactive information retrieval context
Information Processing and Management: an International Journal
Distribution of cognitive load in Web search
Journal of the American Society for Information Science and Technology
Searching the Web for conflicting topics: Page and user factors
Computers in Human Behavior
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This research investigates how people's perceptions of information retrieval (IR) systems, their perceptions of search tasks, and their perceptions of self-efficacy influence the amount of invested mental effort (AIME) they put into using two different IR systems: a Web search engine and a library system. It also explores the impact of mental effort on an end user's search experience. To assess AIME in online searching, two experiments were conducted using these methods: Experiment 1 relied on self-reports and Experiment 2 employed the dual-task technique. In both experiments, data were collected through search transaction logs, a pre-search background questionnaire, a post-search questionnaire and an interview. Important findings are these: (1) subjects invested greater mental effort searching a library system than searching the Web; (2) subjects put little effort into Web searching because of their high sense of self-efficacy in their searching ability and their perception of the easiness of the Web; (3) subjects did not recognize that putting mental effort into searching was something needed to improve the search results; and (4) data collected from multiple sources proved to be effective for assessing mental effort in online searching.