4 papers
Not All Trust is the Same: Effects of Decision Workflow and Explanations in Human-AI Decision Making
Laura Spillner, Rachel Ringe, Robert Porzel +1
A central challenge in AI-assisted decision making is achieving warranted, well-calibrated trust. Both overtrust (accepting incorrect AI recommendations) and undertrust (rejecting…
Can AI Explanations Make You Change Your Mind?
Laura Spillner, Rachel Ringe, Robert Porzel +1
In the context of AI-based decision support systems, explanations can help users to judge when to trust the AI's suggestion, and when to question it. In this way, human oversight c…
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations
Laura Spillner, Nima Zargham, Mihai Pomarlan +2
The need for explanations in AI has, by and large, been driven by the desire to increase the transparency of black-box machine learning models. However, such explanations, which fo…
Personas Evolved: Designing Ethical LLM-Based Conversational Agent Personalities
Smit Desai, Mateusz Dubiel, Nima Zargham +2
The emergence of Large Language Models (LLMs) has revolutionized Conversational User Interfaces (CUIs), enabling more dynamic, context-aware, and human-like interactions across div…