Eike Schneiders, Ph.D.

Hello There

My name is Eike, and I am a Postdoctoral Researcher in the Mixed Reality Lab at the University of Nottingham. As part of the TAS Hub, my research investigates autonomous systems and how we can ensure that these are trustworthy. This includes the design and development of these in a responsible manner, i.e., by involving various stakeholders, as well as the interaction with the system itself. Furthermore, I am interested in the impact that the introduction of autonomous systems, including robots, has on the direct interaction with the system and the interpersonal relationships among human collaborators. I use qualitative and quantitative methods to study this interaction in various contexts, such as the domestic space or industry. 

I look forward to hearing from you, eike.schneiders@nottingham.ac.uk.

Publications

2023

Eike Schneiders, Alan Chamberlain, Joel E. Fischer, Steve Benford, Simon Castle-Green, Victor Ngo, Ayse Kucukyilmaz, Pepita Barnard, Ju Row Farr, Matt Adams, Nick Tandavanitj, Kate Devlin, Clara Mancini, and Daniel S. Mills. 2023. TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. In First International Symposium on Trustworthy Autonomous Systems (TAS ’23), ACM. To appear: https://doi.org/10.1145/3597512.3597517

Eike Schneiders, Liz Dowthwaite, Anna-Maria Piskopani, Jennifer Williams, Ganesh Vigneswaran, Tina Seabrooke, Arya Farahi, and John Robert Bautista. 2023. TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. In First International Symposium on Trustworthy Autonomous Systems (TAS ’23), ACM. To appear: https://doi.org/10.1145/3597512.3597513

Eike Schneiders, Eleftherios Papachristos, Niels van Berkel, and Rune Møberg Jacobsen. 2023. “Briefly Entertaining but Pointless”: Perceived Benefits & Risks of Social Robots in the Home, in CHI EA ’23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI’23). https://doi.org/10.1145/3544549.3585696

Stine S. Johansen, Rikke Hagensby Jensen, Eike Schneiders, and Nicolai Brodersen Hansen. 2023. Manifestations of a Sound Wave: Establishing Human-Data Relations from a Data-Centred Perspective, in Data as a Material for Design: Alternative Narratives, Divergent Pathways, and Future Directions (CHI’23). Download Paper.

Eike Schneiders, Christopher Fourie, Julie Shah, and Malte Jung. 2023. Human-Human Collaboration: What can we learn from Human Group Collaboration to improve Human-Robot Collaboration?, in Workshop YOUR Study Design! (HRI’23). Download Paper.

Joel Wester, Eike Schneiders, and Niels van Berkel. 2023. Perceived Moral Agency of Non-Moral Entities: Implications and Future Research Directions for Social Robots, in Workshop on Perspectives on Moral Agency in Human-Robot Interaction (HRI’23). Download Paper.

2022

Eike Schneiders. 2022. Non-Dyadic Collaboration In Human-Robot Interaction, in Technical Faculty of IT and Design, Aalborg University. Aalborg Universitetsforlag, Ph.D. Dissertation (redacted), 81 pages. Download Ph.D. Dissertation.

EunJeong Cheon, Eike Schneiders, Kristina Diekjobst, and Mikael B. Skov. 2022. Robots as a Place for Socializing: Influences of Collaborative Robots on Social Dynamics In- and Outside the Production Cells, in Proceedings of the ACM on Human-Computer Interaction. 6, CSCW2, Article 457, 2022, 26 pages. https://dl.acm.org/doi/10.1145/3555558

EunJeong Cheon, Eike Schneiders, and Mikael B. Skov. 2022. Working with Bounded Collaboration: A Qualitative Study on How Collaboration is Co-Constructed around Collaborative Robots in Industry, in Proceedings of the ACM on Human-Computer Interaction. 6, CSCW2, Article 369, 2022, 34 pages. https://dl.acm.org/doi/10.1145/3555094

Eike Schneiders, Niels van Berkel and Mikael B. Skov. 2022. Hybrid Work for Industrial Workers: Challenges and Opportunities in using Collaborative Robots, in Work of the Future (NordiCHI22 Workshop), 2022. Download Paper.

Niels van Berkel, Eike Schneiders, and Rune Møberg Jacobsen. 2022. Addressing Repetition in Crowdsourcing: A Concept for Fast-Form Entry, in Adjunct Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI’22 EA), 2022, Download Paper.

Eike Schneiders and Stanley Celestin. 2022. Non-Dyadic Entrainment for Industrial Tasks. In Workshop on Joint Action, Adaptation, and Entrainment in Human-Robot Interaction (HRI’22). Download Paper.

Eike Schneiders and Eleftherios Papachristos. 2022. It’s not all Bad – Worker Perceptions of Industrial Robots. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’22). IEEE Press, 1025–1029. https://dl.acm.org/doi/10.5555/3523760.3523928

Eike Schneiders. 2022. Non-Dyadic Human-Robot Interaction: Concepts and Interaction Techniques. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’22). IEEE Press, 1176–1178. https://dl.acm.org/doi/pdf/10.5555/3523760.3523963

Eike Schneiders, EunJeong Cheon, Jesper Kjeldskov, Matthias Rehm, and Mikael B. Skov. 2022. Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference Publications.J. Hum.-Robot Interact. 11, 2, Article 13 (June 2022), 32 pages. https://doi.org/10.1145/3488242

2021

Eike Schneiders, Eleftherios Papachristos, and Niels van Berkel. 2021. The Effect of Anthropomorphism of Personal Assistants on User Perceptions. In 33rd Australian Conference on Human-Computer Interaction (OzCHI ’21). Association for Computing Machinery, New York, NY, USA, https://doi.org/10.1145/3520495.3520503

Eike Schneiders, Anne Marie Kanstrup, Jesper Kjeldskov, and Mikael B. Skov. 2021. Domestic Robots and the Dream of Automation: Understanding Human Interaction and Intervention. In CHI Conference on Human Factors in Computing Systems (CHI ’21), May 8–13, 2021, Yokohama, Japan. Association for Computing Machinery, New York, NY, USA, 13 pages. https://doi.org/10.1145/3411764.3445629 

2020

Eike Schneiders, Mikkel Bjerregaard Kristensen, Michael Kvist Svangren, and Mikael B. Skov. 2020. Temporal Impact on Cognitive Distraction Detection for Car Drivers using EEG. In 32nd Australian Conference on Human-Computer Interaction(OzCHI ’20). Association for Computing Machinery, New York, NY, USA, 594–601. https://doi.org/10.1145/3441000.3441013

2019

Eike Schneiders, Mikael B. Skov. 2019. CyclAir: A Bike Mounted Prototype for Real-Time Visualization of CO2Levels While Cycling. In: Lamas D., Loizides F., Nacke L., Petrie H., Winckler M., Zaphiris P. (eds) Human-Computer Interaction – INTERACT 2019. INTERACT 2019. Lecture Notes in Computer Science, vol 11747. Springer, Cham. https://doi.org/10.1007/978-3-030-29384-0_40