Nowadays, there has been a growing interest in adopting multimodal learning analytics methodologies to assist groups - working in physically situated environments - in reflecting on and learning from their own experience by making collaboration traces visible. While current research in CSCW and CSCL has helped researchers to broaden the understanding of collaboration in various domains, there is a need for designing collaboration analytics user interfaces that communicates meaningful information.
In this talk, I address the challenge of designing collaboration analytics user interfaces using multimodal evidence by taking a human-centered approach. I will lay out this presentation by discussing some technical, ethical, and methodological implications when developing collaboration analytics user interfaces and reflecting on the potential risks if these user interfaces are not connected to users' needs.
Dr. Vanessa Echeverria is an Assistant Professor at the Escuela Superior Politécnica del Litoral (ESPOL) at Guayaquil, Ecuador. She worked as a Postdoctoral Research Fellow in the Human-Computer Interaction Institute at Carnegie Mellon University in Pittsburgh, United States. She holds a Ph.D. in Learning Analytics from the University of Technology Sydney, Australia, and an MSc. In Artificial Intelligence from KULeuven, Belgium. Her research interests are on designing, developing, and evaluating feedback tools to support group activities. She leverages the richness of physical and digital learning environments to capture group interactions by harnessing, analyzing, and visualizing meaningful multimodal data. Her work spans various domains such as healthcare for professional development, K-12, and Higher education and covers HCI and AI disciplines. Her work has been published in top venues such as CHI and CSCW conferences.
Collaboration and cooperation support in and by the means of Augmented Reality is a field of growing interest in research and practice. While such work could benefit from CSCW and related concepts and vice versa, it is often not perceived or conducted as collaboration support research, and work on cooperative/collaborative AR is not very present in the community dealing with cooperation/collaboration technologies.
In my talk, I will try to bridge this gap by talking about my experience with doing research that aims to combine both perspectives. I will address questions such as how to transfer (or rather translate) classical cooperation/collaboration research concepts such as awareness, telepresence and trust to cooperative/collaborative AR, and how this may (or may not) work. I will also address concepts such as (social) presence from AR and VR research that have an impact on cooperation/collaboration research in general. Finally, I will make some suggestions on who to go forward in bringing together research in these areas and (hopefully) discuss them with the audience.
Michael Prilla is a full professor for Human-Centered Information Systems (HCIS, https://www.ifi.tu-clausthal.de/en/departments/human-centered-information-systems-hcis) at Clausthal University of Technology, Germany. His research interest is in supporting individual and cooperative/collaborative work and learning, focusing on human practice and socio-technical systems. His current focus areas are cooperative/collaborative Augmented Reality and Human-AI cooperation. Michael and his team currently work on these streams in various projects in domains like healthcare, manufacturing, handcraft, commerce as well as in two labs. Michael is the chairman of the German SIG on CSCW and Social Media, a member of the steering committee of the German SIG on Human Computer Interaction, a member of the steering committee of the ACM International Conference on Supporting Group Work (GROUP), which he organized in 2018, and one of the 2021 ECSCW journal track co-chairs.