5 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…
Hanging Around: Cognitive Inspired Reasoning for Reactive Robotics
Mihai Pomarlan, Stefano De Giorgis, Rachel Ringe +2
Situationally-aware artificial agents operating with competence in natural environments face several challenges: spatial awareness, object affordance detection, dynamic changes and…
Bot Appétit! Exploring how Robot Morphology Shapes Perceived Affordances via a Mise en Place Scenario in a VR Kitchen
Rachel Ringe, Leandra Thiele, Mihai Pomarlan +4
This study explores which factors of the visual design of a robot may influence how humans would place it in a collaborative cooking scenario and how these features may influence t…
MetaMorph -- A Metamodelling Approach For Robot Morphology
Rachel Ringe, Robin Nolte, Nima Zargham +2
Robot appearance crucially shapes Human-Robot Interaction (HRI) but is typically described via broad categories like anthropomorphic, zoomorphic, or technical. More precise approac…