Auflistung nach Schlagwort "User Study"
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- KonferenzbeitragDesign of a Knowledge-Based Recommender System for Recipes from an End-User Perspective(Mensch und Computer 2021 - Tagungsband, 2021) Niessner, Julia; Ludwig, ThomasNowadays, recommender systems are a fundamental part of several online services. However, most of these systems rely on collective user data and ratings or a preselection of parameters to derive appropriate recommendations. Within this paper, we examine recommendations without previous user data. We therefore designed and evaluated a knowledge-based recommender system by turning to recipe recommendations that offer alternatives for favorite recipes. We introduce and compare three versions of a given algorithm. Our evaluation shows that the knowledge-based approach may serve as a good start for deriving appropriate recommendations without prior user data. Moreover, we show that end-users’ assumptions about decisive criteria of a recommender system do not necessarily match the later actual decisive criteria.
- KonferenzbeitragItem Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation(i-com: Vol. 14, No. 1, 2015) Jannach, Dietmar; Lerche, Lukas; Jugovac, MichaelUser studies play an important role in academic research in the field of recommender systems as they allow us to assess quality factors other than the predictive accuracy of the underlying algorithms. User satisfaction is one such factor that is often evaluated in laboratory settings and in many experimental designs one task of the participants is to assess the suitability of the system-generated recommendations. The effort required by the user to make such an assessment can, however, depend on the user’s familiarity with the presented items and directly impact on the reported user satisfaction. In this paper, we report the results of a preliminary recommender systems user study using Mechanical Turk, which indicates that item familiarity is strongly correlated with overall satisfaction.
- KonferenzbeitragPerceptions of a Help-Requesting Robot - Effects of Eye-Expressions, Colored Lights and Politeness of Speech(Mensch und Computer 2019 - Tagungsband, 2019) Westhoven, Martin; van der Grinten, Tim; Mueller, SteffenIn this paper we report results from a web- and video-based study on the perception of a request for help from a robot head. Colored lights, eye-expressions and politeness of speech were varied. We measured effects on expression identification, hedonic user experience, perceived politeness, and help intention. Additionally, sociodemographic data, a 'face blindness' questionnaire, and negative attitudes towards robots were collected to control for possible influences on the dependent variables. A total of n=139 participants were included in the analysis. Significant differences were found for the identification performance for our intended eye-expressions, for perceived politeness, help intentions and hedonic user experience. Especially for the negative attitudes towards robots, we found significant relationships with perceived politeness and help intentions.