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Hans Petersen

dblp:262/1823 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 67% Learning and educational technologies · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › child-robot interaction
robot-assisted autism therapy
0.612022
Robotic Task Complexity and Collaborative Behavior of Children with ASD · HRI 2022
Human-robot interaction › assistive robotics
socially assistive robotics
0.612022
Robotic Task Complexity and Collaborative Behavior of Children with ASD · HRI 2022

Methods — techniques the papers use, named apart from their topics

questionnaire · 0.6observational study · 0.6
YearPublicationVenuePosition
2022 Robotic Task Complexity and Collaborative Behavior of Children with ASD
abstract
Social interactions are essential in the everyday lives of humans. People with an autism spectrum disorder (ASD) display shortages of social skills, thus making their day-to-day encounters more difficult. This paper reports on two small-scale studies, investigating whether the use of collaborative robot tasks in an educational setting stimulates the collaborative behavior of children with ASD, and whether robotic task complexity affects collaborative behavior. A total of 24 children participated in robotic tasks of varying complexities. The sessions were videotaped and analyzed. Children's supervisors completed questionnaires, evaluating the social behavior of participants. Results demonstrate that children collaborated during the robot activities. The influence of robotic task complexity on collaboration skills was not significant, possibly due to the small number of participants. The results show the promise of using robots in education for children with ASD, although further research is needed to investigate the implementation of robots in special education.
Franziska Prummer, Annika Hellendoorn, Rianne van den Berghe, Hans Petersen, Erik Ploeger, Hanno van Keulen
HRI4