1 citations · 1 across the 2 of their papers we have counts for
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…
Examining the Effects of Human-Likeness of Avatars on Emotion Perception and Emotion Elicitation
Shiyao Zhang, Omar Faruk, Robert Porzel +3
An increasing number of online interaction settings now provide the possibility to visually represent oneself via an animated avatar instead of a video stream. Benefits include pro…
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…
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…