collaborators

5 papers

cs.HC2026

Can AI Help You Get Over Your Breakup? One Session with a Belief-Reframing Chatbot Shows Sustained Distress Reduction

Thomas Menzel, Michel Schimpf, Thomas Bohné

Romantic breakups are among the most common and intense sources of psychological distress. We evaluated *overit*, a single-session AI chatbot that uses cognitive reappraisal to add…

cs.HC2026

AI-Assisted Goal Setting Improves Goal Progress Through Social Accountability

Michel Schimpf, Julian Voigt, Thomas Bohné

Helping people identify and pursue personally meaningful career goals at scale remains a key challenge in applied psychology. Career coaching can improve goal quality and attainmen…

cs.HC2026

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…

cs.CL2026

Ministral 3

Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian +116

We introduce the Ministral 3 series, a family of parameter-efficient dense language models designed for compute and memory constrained applications, available in three model sizes:…

cs.HC2025

Enhancing User Performance and Human Factors through Visual Guidance in AR Assembly Tasks

Leon Pietschmann, Michel Schimpf, Zhu-Tian Chen +2

This study investigates the influence of Visual Guidance (VG) on user performance and human factors within Augmented Reality (AR) via a between-subjects experiment. VG is a crucial…