Workshop Program
Monday, 27th June
WS 1: Robots In Heterogeneous Contexts. Negotiation Of Co-Creative Lifelong Learning Spaces Through Participatory Approaches // 9:30-12:30 & 14:00-17:00 UTC+1 (full day)
Richard Paluch, Dr. Katerina Cerna, Dr. Mohammad Obaid, Dr. Galina Volkova, Michael Seidler, Tim Weiler & Prof. Dr. Claudia Müller
https://www.co-creativespaces.com/
Abstract.
Our workshop will focus on contributing to how co-creative learning spaces can be supported in heterogeneous contexts and what different disciplines can say about learning and negotiation using robots as an example. This offers both workshop participants and organizers an insight into different approaches and a broader picture regarding the concept of lifelong learning in different fields. Learning is inherently social. This raises several questions that relate to how contexts and spaces can mediate co-creative learning. In this workshop proposal, we refer to the interrelated aspects of space, learning, and embodiment and how these aspects mediate the human-robot interaction. Our assumption is that robots are interpreted variously and used in different ways. We are interested in the interrelation between interpretation and use, which are constitutive for the establishment of different co-creative learning spaces. Reflecting on this leads to an understanding of what to look for in Participatory Design studies. It matters, for example, whether persons in a nursing home have any say at all in how robots are perceived and in what technical practices robots are to be integrated and adopted. This is a crucial aspect for the appropriation of technical artifacts and for the development of new (E)CSCW or HCI paradigms.
WS 4: Building Appropriate Trust In Human-AI Interactions // 9:30-12:30 & 14:00-17:00 UTC+1 (full day)
Fatemeh Alizadeh, Oleksandra Vereschak, Dominik Pins, Gunnar Stevens, Gilles Bailly, Baptiste Caramiaux
https://websites.fraunhofer.de/trust-in-human-ai-interaction/
Abstract.
AI (artificial intelligence) systems are increasingly being used in all aspects of our lives, from mundane routines to sensitive decision-making and even creative tasks. Therefore, an appropriate level of trust is required so that users know when to rely on the system and when to override it. While research has extensively addressed fostering trust in human-AI interactions, the lack of standardized procedures for human-AI trust hinders interpretation of results and cross-study comparisons. As a result, the fundamental understanding of human-AI trust remains fragmented. Our workshop on “Appropriate Trust in Human-AI Interaction” invites researchers to revisit existing approaches and work toward a standardized framework for studying AI trust to answer the open questions:
- What does trust mean between humans and AI in different contexts?
- How can we establish and communicate an appropriate level of trust in interactions with AI?
- How can we develop a standardized framework to address new challenges?
WS 6 - Exploring Human-Centered AI in Healthcare: Diagnosis, Explainability, and Trust // 14:00-17:00 UTC+1 (two half days)
Volkmar Pipek, Richard Harper, Yunan Chen, Sun Young Park, Miria Grisot, Astrid Chow, Nils Blaumer, Aparecido Fabiano Pinatti de Carvalho, Nazmun Nisat Ontika, Sheree May Saßmannshausen, Hussain Abid Syed
https://ecscw2022-hcai.yolasite.com
Abstract.
In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with the healthcare domain by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, HCI, healthcare, etc. and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.
We invite researchers from academia and practitioners from industry to submit position papers on their topics of interest with the workshop.
Tuesday, 28th June
WS 2: Intergenerational Design Activism (CANCELLED)
Dr. Oliver Baron, Diego Alatorre
https://sites.google.com/cidi.unam.mx/ecscw2022designactivism
Abstract.
Activists of all generations unite! With a similar goal, as Greta Thunberg’s “Fridays for Future”, we are designing an alternative campaign. While her movement is largely age-homogeneous, accuses its parents’ generation, and relies on renunciation as a solution, we demand intergenerational cooperation, bracket moral arguments, believe in the power of innovation and make dialogue qua digital media strong. Our project is provocative and playful, as an opportunity to reflect on the ecologically and politically complex problem we are addressing today. As a result, we will present the name of the (fictitious) new alliance, its program, a manifesto, a flag, an anthem, a “key visual”, posters, flyers, banners a strategy for the (digital) dialogue as well as the “pro’s and con’s” of the dogmas.
WS 3: CSCW and Algorithmic Systems // 9:30-12:30 & 14:00-17:00 UTC+1(full day)
.:. PARTICIPANTS WITH POSITION PAPERS ONLY .:.
Airi Lampinen, Naja Holten Møller, Riyaz Sheikh, Asbjørn Ammitzbøll Flügge, Kristin Kaltenhäuser, Baki Cakici
https://algorithmic-systems.com/
Abstract.
The European Union announced recently that Europe should be a global hub and leader in the development of Artificial Intelligence (AI) that guarantees safety and fundamental rights (European Commission, 2021). In this workshop, we investigate how we can approach this challenge from the perspective of Computer-Supported Cooperative Work (CSCW). Starting with a general conceptual focus on algorithmic systems and their increasing role in society, we are particularly interested in such systems in and as organisations, and the questions that come up when investigating them as part of complex, cooperative work practices. The full-day workshop, designed for up to 20 participants, advances a CSCW-perspective on algorithmic/AI systems by bringing together researchers within (and where possible beyond) the CSCW community who study algorithmic systems, with the aim of sharing ongoing research and connecting participants with others who share their research interests.
WS 5 - Revisiting Patient-Clinician Interaction in 2022: Challenges from the Field and Opportunities for Future Research // 9:30-12:30 & 14:00-17:00 UTC+1 (full day)
Francisco Nunes, Nervo Verdezoto, Tariq Osman Andersen, Stina Matthiesen, Christina Chung, Sun Young Park, Woosuk Seo, Paul Studenic
https://bit.ly/RevisitingPatientClinicianInteraction
Abstract.
The goal of this workshop is to revisit the concept of patient-clinician interaction, a classical concept of CSCW research in healthcare. While the CSCW community has been working on patient-clinician interaction for decades, the last years have seen a number of changes to care provision, motivated by the COVID-19 pandemic, the strong uptake of remote care technologies, or the introduction of patient-generated data technologies. Recent advancements in Artificial Intelligence (AI) in healthcare also promise to impact patient-clinician interactions as we know them. In this context, the workshop will engage in participatory discussions to take stock, analyse challenges from the field, reflect on opportunities for technologies, and craft future research agendas for CSCW in healthcare.
The workshop will promote a participatory design approach involving researchers, patients, and clinicians. While researchers will present their position papers at the start of the workshop, all participants will be encouraged to discuss the position papers. In the second part of the workshop, researchers will engage with patients, to discuss their experiences and practical challenges while using or interacting with healthcare services, and with clinicians, to discuss their experiences and challenges in patient-monitoring, adding other layers to the discussions on patient-clinician interactions.
See the complete workshop proposal.
WS 6 - Exploring Human-Centered AI in Healthcare: Diagnosis, Explainability, and Trust // 14:00-17:00 UTC+1 (two half days)
Volkmar Pipek, Richard Harper, Yunan Chen, Sun Young Park, Miria Grisot, Astrid Chow, Nils Blaumer, Aparecido Fabiano Pinatti de Carvalho, Nazmun Nisat Ontika, Sheree May Saßmannshausen, Hussain Abid Syed
https://ecscw2022-hcai.yolasite.com
Abstract.
In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with the healthcare domain by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, HCI, healthcare, etc. and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.
We invite researchers from academia and practitioners from industry to submit position papers on their topics of interest with the workshop.
