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Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants
Sebastian Maier, Kai Schwabe, Manuel Schneider +1
Cognitive offloading to AI can reduce opportunities to practice skills, creating risks of deskilling. However, it remains unclear how to prevent deskilling without restricting acce…
Supporting Effective Goal Setting with LLM-Based Chatbots
Michel Schimpf, Sebastian Maier, Anton Wyrowski +3
Each day, individuals set behavioral goals such as eating healthier, exercising regularly, or increasing productivity. While psychological frameworks (i.e., goal setting and implem…
Analyzing Social Media Claims regarding Youth Online Safety Features to Identify Problem Areas and Communication Gaps
Renkai Ma, Dominique Geissler, Stefan Feuerriegel +3
Social media platforms have faced increasing scrutiny over whether and how they protect youth online. While online risks to children have been well-documented by prior research, ho…
A Meta-Analysis of the Persuasive Power of Large Language Models
Lukas Hölbling, Sebastian Maier, Stefan Feuerriegel
Large language models (LLMs) are increasingly used for persuasion, such as in political communication and marketing, where they affect how people think, choose, and act. Yet, empir…
Partnering with Generative AI: Experimental Evaluation of Human-Led and Model-Led Interaction in Human-AI Co-Creation
Sebastian Maier, Manuel Schneider, Stefan Feuerriegel
Large language models (LLMs) show strong potential to support creative tasks, but the role of the interface design is poorly understood. In particular, the effect of different mode…
Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment
Dominique Geissler, Claire Robertson, Stefan Feuerriegel
Deepfakes images can erode trust in institutions and compromise election outcomes, as people often struggle to discern real images from deepfake images. Improving digital literacy…
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
Niklas Holzner, Sebastian Maier, Stefan Feuerriegel
Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can Ge…
Contextualizing Recommendation Explanations with LLMs: A User Study
Yuanjun Feng, Stefan Feuerriegel, Yash Raj Shrestha
Large language models (LLMs) are increasingly prevalent in recommender systems, where LLMs can be used to generate personalized recommendations. Here, we examine how different LLM-…
A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies
Zoe Jonassen, Katharine Lawrence, Batia Mishan Wiesenfeld +2
Remote patient monitoring (RPM) is the use of digital technologies to improve patient care at a distance. However, current RPM solutions are often biased toward tech-savvy patients…
The Effect of Education in Prompt Engineering: Evidence from Journalists
Amirsiavosh Bashardoust, Yuanjun Feng, Dominique Geissler +2
Large language models (LLMs) are increasingly used in daily work. In this paper, we analyze whether training in prompt engineering can improve the interactions of users with LLMs.…
Explainable AI improves task performance in human-AI collaboration
Julian Senoner, Simon Schallmoser, Bernhard Kratzwald +2
Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human-AI collaboration is that many AI algorithms operate i…
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Kevin Koch, Martin Maritsch, Eva van Weenen +5
Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especially…
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
Michaela Benk, Raphael Weibel, Stefan Feuerriegel +1
Immersive analytics has the potential to promote collaboration in machine learning (ML). This is desired due to the specific characteristics of ML modeling in practice, namely the…
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks
Arne Seeliger, Gerrit Merz, Christian Holz +1
In this paper, we present an analysis of eye gaze patterns pertaining to visual cues in augmented reality (AR) for head-mounted displays (HMDs). We conducted an experimental study…