7 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…
Breathe with Me: Synchronizing Biosignals for User Embodiment in Robots
Iddo Yehoshua Wald, Amber Maimon, Shiyao Zhang +4
Embodiment of users within robotic systems has been explored in human-robot interaction, most often in telepresence and teleoperation. In these applications, synchronized visuomoto…
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…
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…