3 citations · 3 across the 7 of their papers we have counts for
7 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…
Guided Pattern Mining for API Misuse Detection by Change-Based Code Analysis
Sebastian Nielebock, Robert Heumüller, Kevin Michael Schott +1
Lack of experience, inadequate documentation, and sub-optimal API design frequently cause developers to make mistakes when re-using third-party implementations. Such API misuses ca…