2 citations · 3 across the 6 of their papers we have counts for
6 papers
A Computational Implementation of a Goal-Directed Theory of Affect
Bernhard Hilpert, Tamás Szűcs, Joost Broekens +1
Computational modeling of emotion has long faced a tension between descriptive, "snapshot-based" appraisal models and granular, signal-driven architectures that often lack appropri…
Teaching is a Process: The TOSS Framework for Modeling Human Teaching Decisions in Human-Interactive Robot Learning
Bernhard Hilpert, Kim Baraka, Joost Broekens
Successful Human-Robot Teaching assumes alignment between robot processing needs and human teaching intent. To better understand this alignment, this work seeks to uncover the unde…
Can you see how I learn? Human observers' inferences about Reinforcement Learning agents' learning processes
Bernhard Hilpert, Muhan Hou, Kim Baraka +1
Reinforcement Learning (RL) agents often exhibit learning behaviors that are not intuitively interpretable by human observers, which can result in suboptimal feedback in collaborat…
MITHOS: Interactive Mixed Reality Training to Support Professional Socio-Emotional Interactions at Schools
Lara Chehayeb, Chirag Bhuvaneshwara, Manuel Anglet +13
Teachers in challenging conflict situations often experience shame and self-blame, which relate to the feeling of incompetence but may externalise as anger. Sensing mixed signals f…
Avatar Visual Similarity for Social HCI: Increasing Self-Awareness
Bernhard Hilpert, Claudio Alves da Silva, Leon Christidis +4
Self-awareness is a critical factor in social human-human interaction and, hence, in social HCI interaction. Increasing self-awareness through mirrors or video recordings is common…
Fine-grained Affective Processing Capabilities Emerging from Large Language Models
Joost Broekens, Bernhard Hilpert, Suzan Verberne +3
Large language models, in particular generative pre-trained transformers (GPTs), show impressive results on a wide variety of language-related tasks. In this paper, we explore Chat…