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Deborah Forster

dblp:124/0257 · DBLP profile ↗
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5ranked-venue papers
0as first author
3since 2021 · last 2026
0000-0002-2222-3964ORCID · reported

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

Artificial intelligence and machine learning · 4 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging 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 · 77% Collaborative and social computing · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
future of work
0.912025
Second International Workshop on Worker-Robot Relations - Transdisciplinary Conversations with Workers About Sustainable Futures of Work · HRI 2025

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

participatory design · 0.9
YearPublicationVenuePosition
2026 Applied Speculations in the Baggage Hall: Transdisciplinary Thinking around Robotic Work Futures
abstract
Robotic technologies are often proposed to relieve dull, dirty, or dangerous work, but may cause work to instead be experienced as boring, or dehumanized. Understanding the impact of robotics on the workfloor is complicated by the entanglement between emerging robotic capabilities, social dynamics, and organizational issues—which we call Worker–Robot Relations. Consequently, the impact of robotics on work is often studied in hindsight. Speculative design methodologies can facilitate alignment of robotic developments with a meaningful future of work, by creating boundary objects for communicating about current and future work practices. Making use of an unfolding artistic collaboration, we propose an experiential approach for speculating about future Worker–Robot Relations. We enabled speculative encounters between participants and robotic creatures that embody seven meta-behaviors. We abstracted these from observed behaviors in a current work context in baggage handling. We present the findings from focus groups responding to these encounters, including implications for HRI and speculative design.
Alessandro Ianniello, David Murray-Rust, Maria Luce Lupetti, Liliane Filthaut, Tom C. J. Coppelmans, Deborah Forster, Eva Verhoef, David A. Abbink
ACM Trans. Hum. Robot Interact.6
2025 Second International Workshop on Worker-Robot Relations - Transdisciplinary Conversations with Workers About Sustainable Futures of Work
abstract
This full-day workshop is dedicated to mapping and building a community toward shaping sustainable futures of robot-assisted work, with and for workers. The program encompasses lightning keynotes from HRI experts, talks from selected participants bringing case studies, and a hands-on mapping activity for understanding the landscape of robotics innovation at work - in order to foster knowledge exchange and learning. The workshop culminates in a facilitated conversation with workers and managers from a particular case study, providing real-world insights into the challenges, complexities and opportunities for our HRI community in shaping the future of work. With this rich set of activities, the program aims to bridge the gap between academics and practitioners, and to promote a holistic understanding of our roles in shaping the future of work, with particular attention to systemic challenges and value-driven approaches. The workshop will conclude with a synthesis of key takeaways and potential directions for future research and community building.
Joseph Micah Prendergast, Deborah Forster, Maria Luce Lupetti, Alessandro Ianniello, Eva Verhoef, Cristina Zaga, David Murray-Rust, Frank Vetere, Marco C. Rozendaal, David A. Abbink
HRI2
2021 Conceptual Blending in Animal Cognition: A Comparative Approach
Mark Turner 0005, Eric Leonardis, Arturs Semenuks, Seana Coulson, Jamin Pelkey, Ikuma Adachi, Deborah Forster
CogSci7
2017 Deep active object recognition by joint label and action prediction
Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell
Comput. Vis. Image Underst.3
2015 Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning
abstract
Mohsen Malmir1 http://mplab.ucsd.edu/~mmalmir/ Karan Sikka1 http://mplab.ucsd.edu/~ksikka/ Deborah Forster1 [email protected] Javier Movellan2 http://www.emotient.com/ Garrison W. Cottrell3 http://cseweb.ucsd.edu/~gary/ 1 Machine Perception Lab. University of California San Diego, San Diego, CA, USA 2 Emotient, Inc. 4435 Eastgate Mall, Suite 320, San Diego, CA, USA 3 Computer Science and Engineering Dept. University of California San Diego, San Diego, CA, USA
Mohsen Malmir, Karan Sikka, Deborah Forster, Javier R. Movellan, Garison Cottrell
BMVC3