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20232026
most citedHow Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes

23 citations · 36 across the 14 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.HC2026

"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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.IR2026

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…

cs.IR2026

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.…

cs.HC2026★ 1 cited

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…

cs.HC2026★ 7 cited

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…