1 citations · 1 across the 4 of their papers we have counts for
4 papers
Domain Diversity, Motivation, Inclusion, and Feedback in Software Modelling Education
Isabella Graßl, Christopher Lazik, Shalini Chakraborty +2
Student engagement is critical for effective learning in software modelling, yet fostering motivation and inclusivity remains a challenge. While existing research has focused on mo…
Human learning is an understudied but promising lever for boosting human--AI synergy
Julian Berger, Jason W. Burton, Ralph Hertwig +9
Humans collaborating with artificial intelligence (AI) hold the promise of achieving superior outcomes compared to either acting alone (i.e., human--AI synergy). However, the condi…
If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons
Patrick Stadler, Christopher Lazik, Christopher Katins +1
The process of requirements analysis requires an understanding of the end users of a system. Thus, expert stakeholders, such as User Experience (UX) designers, usually create vario…
The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas?
Christopher Lazik, Christopher Katins, Charlotte Kauter +4
Large Language Models (LLMs) created new opportunities for generating personas, expected to streamline and accelerate the human-centered design process. Yet, AI-generated personas…