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Tagungsband MuC 2024

https://dl.gi.de/handle/20.500.12116/44821
See proceedings in the digital library of the ACM at https://dl.acm.org/doi/proceedings/10.1145/3670653
Auflistung nach:

Auflistung Tagungsband MuC 2024 nach Autor:in "Beck, Fabian"

1 - 2 von 2
  • Konferenzbeitrag
    MoViQuotes: Creating Personalized Visual Quotes Capturing the Moods and Vibes of a Movie
    (Proceedings of Mensch und Computer 2024, 2024) Panzer, Lukas; Kurzhals, Kuno; Beck, Fabian
    Movies leave a personal impression with the viewers, which they might be interested to express or share. Going beyond textual reviews and diary entries, we suggest an interface, called MoViQuotes, to capture more personal and subjective impressions of movies that can be shared with others. Through selections of visualized characteristic colors and textual quotes, users express the perceived moods and vibes of the movie. The system then generates variants of visual quotes that embed a generated image into a stylized template to illustrate the selected quote using the chosen colors.
  • 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.