activity
20152026
most citedExperimental Research Data Quality In Materials Science

6 citations · 19 across the 10 of their papers we have counts for

collaborators

12 papers

cs.HC2026

The Data Hospital: A Workflow-Based Concept for Explainable Research Data Quality Assistance

Lennard Scheurer, Robert Porzel, Vinicius Carrillo Beber +1

Research data quality is multidimensional and purpose-dependent: it emerges from the interplay of data, intended use, contextual knowledge, documentation, intervention decisions, a…

cs.HC2026★ 1 cited

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…

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.HC2025★ 1 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.HC2025★ 5 cited

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…

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★ 1 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★ 1 cited

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…

cs.RO2023

An Ontological Model of User Preferences

Mona Abdel-Keream, Daniel Beßler, Ayden Janssen +4

The notion of preferences plays an important role in many disciplines including service robotics which is concerned with scenarios in which robots interact with humans. These inter…

cs.RO2020

Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents

Daniel Beßler, Robert Porzel, Mihai Pomarlan +5

In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such…

cs.HC2020★ 4 cited

Towards Generating Virtual Movement from Textual Instructions A Case Study in Quality Assessment

Himangshu Sarma, Robert Porzel, Jan Smeddinck +1

Many application areas ranging from serious games for health to learning by demonstration in robotics, could benefit from large body movement datasets extracted from textual instru…

cs.DB2015★ 6 cited

Experimental Research Data Quality In Materials Science

Thorsten Wuest, Rainer Tinscher, Robert Porzel +1

In materials sciences, a large amount of research data is generated through a broad spectrum of different experiments. As of today, experimental research data including meta-data i…