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Auflistung nach Schlagwort "User Behavior"

1 - 2 von 2
  • Konferenzbeitrag
    The Influence of Causal Attributions on Users’ Problem-Solving Motivation
    (Mensch und Computer 2017 - Tagungsband, 2017) Niels, Adelka; Janneck, Monique
    This study used longitudinal data collected from 109 participants to investigate the impact of computer-related causal attributions on users’ problem-solving motivation. Attribution theory deals with subjectively perceived causes of events and is commonly used for explaining and predicting human behavior, emotion, and motivation. Individual attributions may either positively or negatively influence one’s learning behavior, confidence levels, effort, or persistence. Results indicate that computer-related causal attributions indeed influence users’ problem-solving motivation. Users with favorable attribution styles exhibit greater levels of motivation in problem handling than users with unfavorable attribution styles. The findings can be used in HCI research and practice to understand better why users think, feel, or behave in a certain way. It is argued that an understanding of users’ attributional characteristics is valuable for developing and improving existing computer learning training strategies and methods, as well as support and assistance mechanisms.
  • Konferenzbeitrag
    A Multi-layer Event Visualization for Exploring User Search Patterns in Literature Discovery with PUREsuggest
    (Proceedings of Mensch und Computer 2024, 2024) Rabsahl, Solveig; Beck, Fabian
    Understanding user behavior is at the heart of user interface design, but can only be quantified to some extent. Qualitatively analyzing individual usage sessions is especially important in open-ended tasks like literature search. In this paper, we present a visual representation of logging data that provides the basis for an in-depth analysis and annotation of search and exploration sessions. The visualization was developed to evaluate the citation-based literature discovery tool PUREsuggest and is thus aimed at visualizing logging data of a literature search system. Events are represented on a timeline in different layers as bars and icon-based glyphs, and contextualized by the additional visualization of item states and active user-set search modifiers such as filters or keywords throughout the session. We demonstrate the applicability of the visualization by evaluating excerpts of two user sessions as an example.