3 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
"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…
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…
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce
Kevin Schott, Andrea Papenmeier, Daniel Hienert +1
Recent advances in natural language processing and deep learning have accelerated the development of digital assistants. In conversational commerce, these assistants help customers…