Now showing items 101-107 of 107
Argumentative explanations for recommendations - Effect of display style and profile transparency
Mensch und Computer 2020 - Workshopband
Providing explanations based on user reviews in recommender systems may increase users’ perception of transparency. However, little is known about how these explanations should be presented to users in order to increase both their understanding and acceptance. We present in this paper a user study to investigate the ...
Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf
Mensch und Computer 2017 - Workshopband
With the introduction of augmented reality in the business domain, the line that separates e-commerce and traditional trading is becoming thinner than ever. We present here our ongoing research concerning the integration of product-related information in a physical store context, considering the reconciliation of e-commerce ...
Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics
i-com: Vol. 19, No. 3
Providing explanations based on user reviews in recommender systems (RS) may increase users’ perception of transparency or effectiveness. However, little is known about how these explanations should be presented to users, or which types of user interface components should be included in explanations, in order to increase ...
Entwicklungsunterstützung für ergonomische Benutzungsschnittstellen
Software-Ergonomie '95: Mensch-Computer-Interaktion. Anwendungsbereiche lernen voneinander
Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components
Mensch und Computer 2021 - Tagungsband
A variety of methods is used nowadays to reduce the complexity of product search on e-commerce platforms, allowing users, for example, to specify exactly the features a product should have, but also, just to follow the recommendations automatically generated by the system. While such decision aids are popular with system ...