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Designing and Measuring Collaborative User Experiences in Social Virtual Reality: A conversation with Jie Li hosted by Abdallah El Ali

    Join us for a CHIWORK conversation on March 23 at 11:30am EST. Click here: Download Calendar Invite

    In this conversation, Dr. Jie Li will be discussing the potential of Social Virtual Reality (VR) for collaboration, focusing on the methods and tools that can be used to collect rich user insights into these collaborative experiences. They will talk about three studies, with varied collaboration tasks, ranging from sharing photos and co-designing cakes, to participating in a CHI workshop within social VR. One of the key challenges they discuss is: how do we gather user data in-situ to improve remote collaborative user experiences for such early technology prototypes? Answering this will help prepare these prototypes for widespread use and market readiness.

    Speaker: Jie Li

    Head of Research and Insights (NL) at EPAM

    Dr. Jie Li is an HCI researcher with a background in Industrial Design Engineering. Her research focuses on developing user experience evaluation methods for immersive experiences. She is now the Head of Research and Insights (NL) at EPAM, and a creative cake designer owning a boutique café called Cake Researcher. Learn more at: https://www.jieli-research.com.

    About the Conversation Host: Abdallah El Ali

    Abdallah El Ali is a research scientist in Human Computer Interactions (HCI) at Centrum Wiskunde & Informatica (CWI) in Amsterdam within the Distributed & Interactive Systems (DIS) group. He is also on the executive board (events, web, comms) for CHI Nederland (CHI NL) (https://chinederland.nl/), an ACM SIGCHI Chapter that connects, supports, and represents the HCI community in the Netherlands. He received his PhD in Computer Science and Master’s degree in Cognitive Science from the University of Amsterdam. He is currently leading the research area on Affective Interactive Systems, with a focus on ground truth label acquisition techniques, emotion understanding and recognition, and affective augmentation systems that leverage physiological signals and multimodal feedback.

    Conversation Details: