most citedCan AI Explanations Make You Change Your Mind?

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2025

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…

cs.HC20251 cited

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…

cs.AI2025

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…

cs.RO2025

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…

cs.RO20251 cited

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…

q-bio.NC2025

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review

Robin Nolte, Mihai Pomarlan, Ayden Janssen +7

Background: Metacognition has gained significant attention for its potential to enhance autonomy and adaptability of artificial agents but remains a fragmented field: diverse theor…