23 citations · 36 across the 14 of their papers we have counts for
14 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…
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.…
Escaping the Filter Bubble: Evaluating Electroencephalographic Theta Band Synchronization as Indicator for Selective Exposure in Online News Reading
Thomas Krämer, Daniel Hienert, Francesco Chiossi +2
Selective exposure to online news occurs when users favor information that confirms their beliefs, creating filter bubbles and limiting diverse perspectives. Interactive systems ca…
EyeLiveMetrics: Real-time Analysis of Online Reading with Eye Tracking
Daniel Hienert, Heiko Schmidt, Thomas Krämer +1
Existing eye tracking software have certain limitations, especially with respect to monitoring reading online: (1) Most eye tracking software record eye tracking data as raw coordi…
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…
Know What Not To Know: Users' Perception of Abstaining Classifiers
Andrea Papenmeier, Daniel Hienert, Yvonne Kammerer +2
Machine learning systems can help humans to make decisions by providing decision suggestions (i.e., a label for a datapoint). However, individual datapoints do not always provide e…
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes
Andrea Papenmeier, Dagmar Kern, Daniel Hienert +2
Supervised machine learning utilizes large datasets, often with ground truth labels annotated by humans. While some data points are easy to classify, others are hard to classify, w…
UNDR: User-Needs-Driven Ranking of Products in E-Commerce
Andrea Papenmeier, Daniel Hienert, Firas Sabbah +2
Online retailers often offer a vast choice of products to their customers to filter and browse through. The order in which the products are listed depends on the ranking algorithm…
Evaluation of Word Embeddings for the Social Sciences
Ricardo Schiffers, Dagmar Kern, Daniel Hienert
Word embeddings are an essential instrument in many NLP tasks. Most available resources are trained on general language from Web corpora or Wikipedia dumps. However, word embedding…