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The Future of Work – A Conversation with the Technical Program Chairs of CHIWORK 2022-2023

    We’re back!! Introducing the technical program chairs for this year – Shadan Sadeghian, Max Wilson, Naveena Karusala, Toby Li, Erin Solovey. Join us on Zoom by clicking on the following link: https://unh.zoom.us/j/96396395589

    Speaker Bios:

    Erin Solovey‘s research is in human-computer interaction. One of Erin’s focus is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. Erin designs, builds and evaluates interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. They also investigate novel paradigms for designing with accessibility in mind, particularly for the Deaf community. Erin’s work has applications in areas such as education, transportation, medicine, creativity support, gaming, and complex decision making.

    Max Wilson is an Associate Professor at the University of Nottingham, in the Mixed Reality Lab. Along with his Brain Data team, Max focuses on understanding and measuring Mental Workload experiences in HCI, both through qualitative engagements with people and quantitatively using brain measures – primarily functional Near Infrared Spectroscopy (fNIRS). His work in early 2010s helped to demonstrate that fNIRS can be used measure blood oxygen changes in the prefrontal cortex in most HCI study settings, and alongside related methods like Think Aloud, and can be used to differentiate between different implementations of a user interface for the same task. His work, funded by both a €5M European industry funding and £2.9M government research grant, has gone on to study the effect of giving people alerts about reaching mental workload limits, studying different forms of office work, and measuring mental workload in manufacturing environments. Given the non-unexpected emergence of consumer brain devices to help you meditate and focus, Max is studying the cognitive future of work, where such mental workload data is likely to become a form of personal data. In the community, Max is a Deputy Editor for IJHCS and serves on CHI Steering Committee.

    Naveena Karusala is a postdoctoral fellow at the Harvard Center for Research on Computation and Society. Naveena’s research is at the intersection of care, labor, and emerging technologies, spanning domains such as health, safety, and social work. Their work looks at how technologies are shaping futures of care work, particularly in the Global South, and ask how we might center care (and care workers) as the organizing principle of sociotechnical systems. Naveena’s research contributes to the fields of Human-Computer Interaction (HCI) and Information and Communication Technologies and Development (ICTD).

    Shadan Sadeghian is a Post-Doc researcher in the department of “Ubiquitous Design / Experience and Interaction” led by Prof. Dr. Marc Hassenzahl at the University of Siegen. She studied computer science at the university of Bonn and RWTH Aachen, and pursued her PhD in Human-Computer Interaction at OFFIS Institute for Information Technology and University of Oldenburg. She has also worked as a PhD scholar in the Max Planck institute in Tübingen and as a Post-Doc researcher at Fraunhofer institute FKIE. Her research focuses on designing user experience and interaction with automated systems such as Robots, AI-based systems, and automated vehicles. She investigates approaches that balance pragmatic (performance-oriented) and hedonic (experience-oriented) qualities of interacting with automation. 

    Toby Jia-Jun Li is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame where he directs the SaNDwich Lab. Toby received a Ph.D. degree in Human-Computer Interaction at Carnegie Mellon University. He works at the intersection of HCI, AI, and end-user software engineering, where he uses human-centered methods to design, build, and study interactive systems to empower end-users and novice programmers to create, configure, and extend AI-powered computing systems. Several focus areas of his work include human-centered data science, human-AI co-creation in creative tools, human-AI collaboration in programming, and Worker empowerment against AI inequality in gig work. His work has been supported by NSF, Google Research Scholar Award, J.P Morgan, and Yahoo. You can find out more about Toby at http://toby.li/.