Video-based communication has become a common way of interacting with remote interlocutors, whether through complex videoconferencing systems or webcams integrated into consumer technologies. Ethnomethodology and conversation analysis (EM/CA) are sociological approaches that have been influential in Human-Computer Interaction for nearly three decades due to their focus on the situated organization of practical activities. In this article, we present a state-of-the-art review of empirical research on video-mediated social interaction studied from the perspective of EM/CA. We put forward an original organization of the findings on the interplay of talk, bodily behavior and spatial and material resources. The review underscores the ways in which technology enables and constrains interaction, shaping familiar and novel social activities. We also propose directions for future research and systems design.
RESEARCH HIGHLIGHTS• Video-mediated interaction has become ubiquitous due to dedicated technologies and devices.• Ethnomethodology and conversation analysis have produced a number of studies on participants' practices when involved in remote synchronous video communication. • The reviewed studies provide detailed descriptions of users' multimodal behavior when interacting with/through the technology. • This research is moving forward, simultaneously helping to anticipate future needs and find design solutions, while concentrating on the study of evolving technologies-in-practice.
The current mechanisms that drive the development of AI technologies are widely criticized for being tech-oriented and market-led instead of stemming from societal challenges. In Human-Centered AI discourses, and more broadly in Human-Computer Interaction research, initiatives have been proposed to engage experts from various domains of social science in determining how AI should reach our societies, predominantly through informing the adoption policies. Our contribution, however, seeks a more essential role for social sciences, namely to introduce discursive standpoints around what we need AI to be. With a focus on the domain of urbanism, the specifc goal has been to elicit -from interviews with 16 urban experts -the imaginaries of how AI can and should impact future cities. Drawing on the social science literature, we present how the notion of "imaginary" has essentially framed this research and how it could reveal an alternative vision of non-human intelligent actors in future cities.
CCS CONCEPTS• Human-centered computing → Empirical studies in HCI; HCI theory, concepts and models; • Computing methodologies → Philosophical/theoretical foundations of artifcial intelligence.
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