6 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…
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…
AI Overviews in Academic Search: Evaluating AI-generated Summaries of Search Results in a Domain-specific Search Engine
Kevin Schott, Kanishka Silva, Ingo Frommholz +3
Evaluating search engine results pages (SERPs) to assess result relevance is a demanding step in academic search. In a formative mixed-methods design study, we examine AI-generated…
Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)
Yifan Liu, Jaime Arguello, Orland Hoeber +30
This report summarizes the CHIIR 2026 Workshop on Generative AI and Academic Search (GAI\&AS), which examined how GenAI is reshaping academic search systems and research practices.…
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…