Niels van Berkel
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Niels van Berkel has a total of 815 co-authors. Here are the top co-authors by number of shared publications:
- Jorge Goncalves
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
46 shared publications - Vassilis Kostakos
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
40 shared publications - Simo Hosio
Centre for Applied Computing, University of Oulu, Oulu, Finland
34 shared publications - Joel Wester
University of Copenhagen, Copenhagen, Denmark
19 shared publications - Zhanna Sarsenbayeva
School of Computer Science, The University of Sydney, Sydney, NSW, Australia
17 shared publications Denzil Ferreira
14 shared publications
Latest Publications
- Open Access
- 31 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Speejis: Expressive Speech Emotion Cues in Voice Messaging
- 31 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Open AccessSpeejis: Expressive Speech Emotion Cues in Voice Messaging
- Open Access
- 31 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-8
DroneHub: A Modular Open-Source Multi-Drone System for Physical Drone Research
- 31 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Open AccessDroneHub: A Modular Open-Source Multi-Drone System for Physical Drone Research
- Open Access
- 4 July 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-9
How We Study Clinical Documentation Practices in the Wild: A Systematic Literature Review of CHI and CSCW
- 4 July 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-9
Open AccessHow We Study Clinical Documentation Practices in the Wild: A Systematic Literature Review of CHI and CSCW
- Open Access
- 22 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-4
Augmenting Legal Work: Artificial Intelligence in Professional Practice
As legal professionals increasingly incorporate artificial intelligence into their daily work, established professional norms of reasoning, expertise, and ethical behaviour are being challenged. Generative AI (GenAI) tools are being rapidly adopted by legal professionals across many jurisdictions. Although these technologies offer significant potential benefits, concerns persist that they may degrade professional skills. Misuse also poses risks to legal professionalism and to the broader justice system. This workshop brings together legal professionals, researchers, and experts in AI and computing to discuss how GenAI tools may be designed so legal professionals develop skills to productively use artificial intelligence; and how we might guard against deskilling and cognitive offloading in high-stakes work. Our workshop will enable researchers working in this emerging yet contentious area to share findings, receive feedback, and propose new research and design ideas, contributing to a shared research agenda for future work on augmented legal practice.
- 22 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-4
Open AccessAugmenting Legal Work: Artificial Intelligence in Professional Practice
As legal professionals increasingly incorporate artificial intelligence into their daily work, established professional norms of reasoning, expertise, and ethical behaviour are being challenged. Generative AI (GenAI) tools are being rapidly adopted by legal professionals across many jurisdictions. Although these technologies offer significant potential benefits, concerns persist that they may degrade professional skills. Misuse also poses risks to legal professionalism and to the broader justice system. This workshop brings together legal professionals, researchers, and experts in AI and computing to discuss how GenAI tools may be designed so legal professionals develop skills to productively use artificial intelligence; and how we might guard against deskilling and cognitive offloading in high-stakes work. Our workshop will enable researchers working in this emerging yet contentious area to share findings, receive feedback, and propose new research and design ideas, contributing to a shared research agenda for future work on augmented legal practice.
- Open Access
- 22 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Impact of Chatbot Role on Perceived Support in a Collaborative Problem-Solving Task
- 22 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Open AccessImpact of Chatbot Role on Perceived Support in a Collaborative Problem-Solving Task
- Open Access
- 21 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-24
Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities
Across service domains, platform-based gig workers often face a wide range of severe yet hidden vulnerabilities, including opaque pay practices, illusions of flexibility, health and safety risks, and privacy violations. To the general public and inexperienced workers such latent vulnerabilities remain largely unknown and concealed by intentional platform design that gives illusions of adequate labor protections, or myths. This study examines how workers perceive (and shift their beliefs away from) five commonly held misconceptions regarding gig worker vulnerabilities. In Phase I, crowdworkers ( \(N = 236\) ) rated their agreement with five common myths surrounding vulnerabilities in gig work: \(227\) of them believed one or more myth(s). In Phase II, we challenged these workers to defend their views by presenting an expert- or LLM-generated counterargument. Our findings show workers’ underexposure to personal and shared vulnerabilities of gig work, revealing a knowledge gap where persuasive interventions can scalably raise awareness around such hidden labor conditions. We reflect on the effectiveness of different persuasion strategies and discuss implications for promoting more accurate public perceptions that support collective bargaining of workers’ rights.- 21 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-24
Open AccessUnderstanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities
Across service domains, platform-based gig workers often face a wide range of severe yet hidden vulnerabilities, including opaque pay practices, illusions of flexibility, health and safety risks, and privacy violations. To the general public and inexperienced workers such latent vulnerabilities remain largely unknown and concealed by intentional platform design that gives illusions of adequate labor protections, or myths. This study examines how workers perceive (and shift their beliefs away from) five commonly held misconceptions regarding gig worker vulnerabilities. In Phase I, crowdworkers ( \(N = 236\) ) rated their agreement with five common myths surrounding vulnerabilities in gig work: \(227\) of them believed one or more myth(s). In Phase II, we challenged these workers to defend their views by presenting an expert- or LLM-generated counterargument. Our findings show workers’ underexposure to personal and shared vulnerabilities of gig work, revealing a knowledge gap where persuasive interventions can scalably raise awareness around such hidden labor conditions. We reflect on the effectiveness of different persuasion strategies and discuss implications for promoting more accurate public perceptions that support collective bargaining of workers’ rights. - Open Access
- 12 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 2193-2205
Who Gets to Interpret the Workout? User Tensions With AI-Generated Fitness Feedback
- 12 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 2193-2205
Open AccessWho Gets to Interpret the Workout? User Tensions With AI-Generated Fitness Feedback
- Open Access
- 15 April 2026
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Computer-Human Interaction
- Vol. 33 (2) , 1-30
Crowd-Powered Discovery of Mental Health Self-Care Techniques in Higher Education
Mental disorders deteriorate well-being in many ways. Clinical mental health care is insufficient and struggles to keep up with the growing demand for services in many parts of the world. Human–Computer Interaction researchers have focused on building different interactive systems that support mental well-being. In our work, we focus on collecting, peer-assessing, and assisting in the discovery of mental health self-care techniques through an online tool. Our target demographic is the higher education community. The implemented tool can offer new self-care techniques to its users, and our user studies validate its usefulness in capturing and offering valuable mental health care information. Further, we study how source disclosure affects the perception of the discovered techniques, finding no major differences in the measured variables. Finally, we discuss how user-generated self-care suggestions in this context warrants caution and the implications of our study.
- 15 April 2026
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Computer-Human Interaction
- Vol. 33 (2) , 1-30
Open AccessCrowd-Powered Discovery of Mental Health Self-Care Techniques in Higher Education
Mental disorders deteriorate well-being in many ways. Clinical mental health care is insufficient and struggles to keep up with the growing demand for services in many parts of the world. Human–Computer Interaction researchers have focused on building different interactive systems that support mental well-being. In our work, we focus on collecting, peer-assessing, and assisting in the discovery of mental health self-care techniques through an online tool. Our target demographic is the higher education community. The implemented tool can offer new self-care techniques to its users, and our user studies validate its usefulness in capturing and offering valuable mental health care information. Further, we study how source disclosure affects the perception of the discovered techniques, finding no major differences in the measured variables. Finally, we discuss how user-generated self-care suggestions in this context warrants caution and the implications of our study.
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-4
Meta-HCI: Practising Reflection in HCI Research
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-4
Open AccessMeta-HCI: Practising Reflection in HCI Research
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-15
Chaplains' Reflections on the Design and Usage of AI for Conversational Care
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-15
Open AccessChaplains' Reflections on the Design and Usage of AI for Conversational Care