Bob R. Schadenberg

ORCID: 0000-0001-5385-0795
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About
Contact & Profiles
Research Areas
  • Autism Spectrum Disorder Research
  • Social Robot Interaction and HRI
  • Assistive Technology in Communication and Mobility
  • AI in Service Interactions
  • Robotics and Automated Systems
  • Child and Animal Learning Development
  • Family and Disability Support Research
  • Child Development and Digital Technology
  • Teaching and Learning Programming
  • Artificial Intelligence in Healthcare and Education
  • Biomedical and Engineering Education
  • Genetics and Neurodevelopmental Disorders
  • Context-Aware Activity Recognition Systems
  • Modular Robots and Swarm Intelligence
  • Innovative Teaching and Learning Methods
  • Behavioral Health and Interventions
  • Mind wandering and attention
  • Digital Mental Health Interventions
  • Gaze Tracking and Assistive Technology
  • Intelligent Tutoring Systems and Adaptive Learning
  • Ethics and Social Impacts of AI
  • Multi-Agent Systems and Negotiation
  • Action Observation and Synchronization
  • Educational Games and Gamification
  • Face Recognition and Perception

University of Twente
2017-2025

Human Media
2020-2021

University of Groningen
2016

Researchers, industry, and practitioners are increasingly interested in the potential of social robots education for learners on autism spectrum. In this study, we conducted semi-structured interviews focus groups with educators England to gain their perspectives use humanoid autistic pupils, eliciting ideas specific examples use. Understanding educator views is essential, because they key decision-makers adoption would directly facilitate future pupils. Educators were provided several...

10.3389/frobt.2019.00107 article EN cc-by Frontiers in Robotics and AI 2019-11-01

Robots are promising tools for promoting engagement of autistic children in interventions and thereby increasing the amount learning opportunities. However, designing deliberate robot behaviour aimed at engaging remains challenging. Our current understanding what interactions with a robot, or facilitated by particularly motivating to is limited qualitative reports small sample sizes. Translating insights from these design difficult due large individual differences among their needs,...

10.3389/frobt.2020.00028 article EN cc-by Frontiers in Robotics and AI 2020-03-05

Abstract This conceptual paper presents a novel framework for the design and study of social robots that support well-being. Building upon self-determination theory associated Motivation, Engagement, Thriving in User Experience (METUX) model, this argues users’ psychological basic needs autonomy, competence, relatedness should be put at center robot design. These are essential to people’s well-being, engagement, self-motivation. However, current literature offers limited insights into how...

10.1007/s12369-024-01102-8 article EN cc-by International Journal of Social Robotics 2024-02-25

Unpredictability in robot behaviour can cause difficulties interacting with robots. However, for social interactions robots, a degree of unpredictability may be desirable facilitating engagement and increasing the attribution mental states to robot. To generate better conceptual understanding predictability, we looked at two facets namely, ability predict actions association predictability as an attribute We carried out video human-robot interaction study where manipulated whether...

10.1145/3461534 article EN ACM Transactions on Human-Robot Interaction 2021-07-15

Predictability is important to autistic individuals, and robots have been suggested meet this need as they can be programmed predictable, well elicit social interaction. The effectiveness of robot-assisted interventions designed for skill learning presumably depends on the interplay between robot predictability, engagement in learning, individual differences different children. To better understand interplay, we report a study where 24 children participated intervention. We manipulated...

10.1145/3468849 article EN ACM Transactions on Computer-Human Interaction 2021-08-20

Autistic children with limited language ability are an important but overlooked community. We develop a teacher-teleoperated robot and tablet system, as well learning activities, to help teach facial emotions minimally verbal autistic children. then conduct user studies 31 UK Serbia evaluate the system's accessibility. Results showed could use interface control or respond humanoid understand face activities. found that flexible powerful wizard-of-oz respected needs of their teachers. Our...

10.1145/3389189.3393738 article EN 2020-06-30

A commonly used argument for using robots in interventions autistic children is that can be very predictable. Even though robot behaviour designed to perceived as predictable, a degree of unpredictability unavoidable and may sometimes desirable some extent. To balance the robot's predictability children, we will need gain better understanding what factors influence (un)predictability robot, how those taken into account through design interaction, they child-robot interaction. In our work,...

10.1109/hri.2019.8673135 article EN 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2019-03-01

Robots are becoming part of children's care, entertainment, education, social assistance and therapy. A steadily growing body Human-Robot Interaction (HRI) research shows that child-robot interaction (CRI) holds promises to support development in novel ways. However, has shown technologies do not take into account needs, abilities, interests, developmental characteristics may have a limited or even negative impact on their physical, cognitive, social, emotional, moral development. As result,...

10.1145/3029798.3029804 article EN 2017-03-06

Robot-assisted therapy is an emerging form of for autistic children, although designing effective robot behaviors a challenge implementation such therapy. A series usability tests assessed trends in the effectiveness modelling robot's facial expressions on realistic and adding peripherals enabling child-led control emotion learning activities with children. Nineteen children interacted small humanoid adult therapist several emotion-learning that featured modelled either pre-existing database...

10.48550/arxiv.2007.12236 preprint EN other-oa arXiv (Cornell University) 2020-01-01

To be seamlessly integrated in human-centered environments, robots are expected to have intelligent social capabilities on top of their physical abilities. this end, research artifi-cial intelligence and human-robot interaction face two major challenges. Firstly, need cope with uncertainty during interaction, especially when dealing factors that not fully observable hard infer (latent variables) such as the states representing dynamic environment human behavior (e.g., intents, goals,...

10.1109/hri53351.2022.9889584 article EN 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2022-03-07

One way to address shortages in the workforce and improve safety of health workers is through robots. Here, we will specifically look at whether how robots might augment working on pre-analytical phase clinical testing hospital laboratories. We conducted eight interviews with using futuristic autobiographies. Through our analysis, identified three themes. Workers envisioned increase their well-being change blue-collar workers' tasks towards that automation operators. The latter was perceived...

10.1145/3568294.3580157 article EN 2023-03-08

Social robots may be beneficial to educators working with autistic children in helping monitor the children's progress. To identify needs for measuring and tracking progress of children, we conducted interviews nine experienced Serbia Netherlands who work children. Responses revealed educators' antecedents notable child behaviour, have standardised measures social skills, understand behaviour across settings. We present initial design concepts how could utilised meet these needs.

10.1145/3371382.3378378 article EN 2020-03-23
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