Examining the generalizability of the User Engagement Scale (UES) in exploratory search

► We tested the User Engagement Scale in an exploratory search environment. ► UES measures hedonic and pragmatic facets of interactive information retrieval. ► Factor analysis showed that three dimensions were stable; three formed one factor. ► We discuss implications for UES revision and measuring...

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Veröffentlicht in:Information processing & management 2013-09, Vol.49 (5), p.1092-1107
Hauptverfasser: O’Brien, Heather L., Toms, Elaine G.
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Toms, Elaine G.
description ► We tested the User Engagement Scale in an exploratory search environment. ► UES measures hedonic and pragmatic facets of interactive information retrieval. ► Factor analysis showed that three dimensions were stable; three formed one factor. ► We discuss implications for UES revision and measuring engagement with IIR systems. The user experience is an integral component of interactive information retrieval (IIR). However, there is a twofold problem in its measurement. Firstly, while many IIR studies have relied on a single dimension of user feedback, that of satisfaction, experience is a much more complex concept. IIR in general, and exploratory search more specifically, are dynamic, multifaceted experiences that evoke pragmatic and hedonic needs, expectations, and outcomes that are not adequately captured by user satisfaction. Secondly, questionnaires, which are typically the means in which user’s attitudes and perceptions are measured, are not typically subjected to rigorous reliability and validity testing. To address these issues, we administered the multidimensional User Engagement Scale (UES) in an exploratory search environment to assess users’ perceptions of the Perceived Usability (PUs), Aesthetics (AE), Novelty (NO), Felt Involvement (FI), Focused Attention (FA), and Endurability (EN) aspects of the experience. In a typical laboratory-style study, 381 participants performed three relatively complex search tasks using a novel search interface, and responded to the UES immediately upon completion. We used Principal Axis Factor Analysis and Multiple Regression to examine the factor structure of UES items and the relationships amongst factors. Results showed that three of the six sub-scales (PUs, AE, FA) were stable, while NO, FI and EN merged to form a single factor. We discuss recommendations for revising and validating the UES in light of these findings.
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source ScienceDirect Journals (5 years ago - present)
subjects Data processing
Evaluation
Exploratory search
Fatigue tests
Information retrieval
Interactive
Interactive computer systems
Interactive information retrieval
Measurement
Methods
Perception
Regression
Searching
Tasks
User behaviour
User Engagement Scale
User experience
User satisfaction
title Examining the generalizability of the User Engagement Scale (UES) in exploratory search
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