From the 1 of 10 linked papers with an AI index.
10 papers
"I don't know anything about laptops!" - User Perception of Digital Product Advisors Adapting to Their Knowledge Levels
Kevin Schott, Andrea Papenmeier, Daniel Hienert +1
Conversational commerce uses digital assistants to support the search process and decision-making in e-commerce. Effective communication in these interactions can be facilitated by…
Cleo: A Transparent and Controllable Chatbot for Conversational Commerce
Kevin Schott, Jan Lattenkamp, Daniel Hienert +1
We demonstrate Cleo, a transparent and controllable conversational product advisor that addresses the challenges of opacity, unpredictability of LLMs, and the complexity of compari…
A Modular Workflow for Multimodal Reading Experiments
Thomas Krämer, Thomas Kosch, Dagmar Kern +1
We introduce a web-based modular workflow for real-time multimodal experiments in naturalistic online reading. The workflow integrates eye tracking, EEG, and interaction data from…
Topic Matters: How Linguistic Properties can Shape Reading Behaviour in Selective Exposure Studies
Thomas Krämer, Dagmar Kern, Thomas Kosch +1
Research on selective exposure frequently relies on eye tracking to study reading behaviour, often assuming that texts across different controversial topics are comparable once bas…
Continuous Online Evaluation of Recommendation Strategies in Social Science Academic Search
Mehmet Deniz Türkmen, Daniel Hienert
The paper presents a case study of continuously evaluating multiple recommendation strategies in the GESIS Search academic search engine for social sciences, using the STELLA frame…
Transparent by Design, Usable in Practice? A Formative Usability Study of a Conversational Product Advisor
Kevin Schott, Dagmar Kern, Daniel Hienert
Large language models can make conversational product advisors fluent but opaque. If they hide the logic behind a ranking and the evidence for a recommendation inside natural-langu…