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Jules A. M. van Gurp

dblp:316/5708 · DBLP profile ↗
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3ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0003-0730-0631ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 3 · 2 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 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 · 54% Health and well-being technologies · 23% Design research and methods · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
child-robot interaction
0.612022
Understanding Design Preferences for Robots for Pain Management: A Co-Design Study · HRI 2022
Health and well-being technologies
pain management
0.612022
Understanding Design Preferences for Robots for Pain Management: A Co-Design Study · HRI 2022
Design research and methods
participatory design
0.612022
Understanding Design Preferences for Robots for Pain Management: A Co-Design Study · HRI 2022
Human-robot interaction › assistive robotics
socially assistive robotics
0.612022
Understanding Design Preferences for Robots for Pain Management: A Co-Design Study · HRI 2022
Human-robot interaction › adaptive robot behavior
robot personalization
0.212022
Understanding Design Preferences for Robots for Pain Management: A Co-Design Study · HRI 2022

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

survey · 0.6interviews · 0.6co-design workshops · 0.6
YearPublicationVenuePosition
2025 Heist Extravaganza: A Design Framework and Exemplars of Asymmetric Virtual Reality Controllers Based on Player Profiles
Jules A. M. van Gurp, Erik D. Van der Spek
ICEC1
2025 Asymmetric VR Game Heist Extravaganza
Jules A. M. van Gurp, Erik D. Van der Spek
ICEC1
2022 Understanding Design Preferences for Robots for Pain Management: A Co-Design Study
abstract
There is growing interest in psychological interventions using socially assistive robots to mitigate distress and pain in the pediatric population. This work seeks to address the deficit in understanding of what features and functionality young children and their parents desire to help with pain management by using co-design, a common approach to exploring participants' imaginations and gathering design requirements. To close this gap, we carried out a co-design workshop involving seven families (with children aged between 4–6 and their parents) to understand their expectations and design preferences for a robot designed for pain management in children. Data were collected from surveys, video and audio recordings, interviews, and field notes. We present the robot prototypes constructed during the workshops and derive several preferences of the children (e.g, zoomorphic shape, distractors and emotional expressions as behaviors). Additionally, we report methodological insights regarding the involvement of young children and their parents in the co-design process. Based on the findings of this co-design study, we discuss personalization as a possible design concept for future child-robot interaction development.
Feiran Zhang, Frank Broz, Edwin Dertien, Nefeli Kousi, Jules A. M. van Gurp, Oriana Isabella Ferrari, Ignacio Malagon, Emilia I. Barakova
HRI5