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DTSTART:20261009T130000
LOCATION:Off campus 
DESCRIPTION:A data session to examine human-robot interaction in commonplace traffic scenes.ABSTRACT: Shared spaces have been shown to be perspicuous settings for investigating the in situ negotiation of rights between their users (e.g. Smith, 2017). This is primarily because shared spaces are settings that do not segregate nor privilege one mode of mobility over another. Pedestrians, bikes, and different types of vehicle must collectively &lsquo;find their way&rsquo; and are thus reliant on situated ethno-methods for their mobile order. In this data session, we examine excerpts from shared spaces on university campuses in which this order includes delivery robots. Robots are not full participants in the building of local order as they lack the fundamental natural language competencies which provide for the reciprocity of action and its recognition achieved by their human counterparts. They do, however, produce actions and, as such, additional contingencies for users. In this session, we will examine the configuration of rights of giving way, taking space, and negotiating passage, when robots are present in the commonplace traffic scene.&nbsp; 
<br />PRESENTERS: Shan Shan Li is a PhD student at the Department of Applied Social Sciences, The Hong Kong Polytechnic University. Her research interests include&nbsp;technology and interaction,&nbsp;video analysis, ethnomethodology and conversation analysis. For her PhD project, she is conducting a video-based study of naturally occurring human-robot encounters in public places.
<br />Christian Greiffenhagen is Associate Professor at the Department of Applied Social Sciences, The Hong Kong Polytechnic University of Hong Kong, where he leads the Video Analysis, Science and Technology (VAST) Research Group, which develops video-based methodologies to study the impact of scientific and technological developments on people&rsquo;s lives. In his research, he explores how people communicate and interact with novel technologies &lsquo;in the wild&rsquo;.
<br />Robin James Smith is Professor of Sociology in the School of Spatial and Social Sciences, Cardiff University. He is also Visiting Professor at Wits. He is primarily interested in membership categorisation practices and has contributed to the development of MCA beyond person description. This work has included studies of mobilities in public space, as well as professional settings such as mountain rescue and police work.
X-ALT-DESC;FMTTYPE=text/html:<strong>A data session to examine human-robot interaction in commonplace traffic scenes.</strong><p><strong><span>ABSTRACT: <br /><br /></span></strong><span>Shared spaces have been shown to be perspicuous settings for investigating the in situ negotiation of rights between their users (e.g. Smith, 2017). This is primarily because shared spaces are settings that do not segregate nor privilege one mode of mobility over another. Pedestrians, bikes, and different types of vehicle must collectively &lsquo;find their way&rsquo; and are thus reliant on situated ethno-methods for their mobile order. In this data session, we examine excerpts from shared spaces on university campuses in which this order includes delivery robots. Robots are not full participants in the building of local order as they lack the fundamental natural language competencies which provide for the reciprocity of action and its recognition achieved by their human counterparts. They do, however, produce actions and, as such, additional contingencies for users. In this session, we will examine the configuration of rights of giving way, taking space, and negotiating passage, when robots are present in the commonplace traffic scene.<span style="mso-spacerun: yes;">&nbsp; </span></span></p>
<br /><p><strong><span>PRESENTERS: <br /><br /></span></strong><span style="font-size: 11.0pt; line-height: 115%; mso-ascii-font-family: Aptos; mso-hansi-font-family: Aptos; color: #212121;">Shan Shan Li is a PhD student at the Department of Applied Social Sciences, The Hong Kong Polytechnic University. Her research interests include<span>&nbsp;</span></span><span style="font-size: 11.0pt; line-height: 115%; mso-ascii-font-family: Aptos; mso-hansi-font-family: Aptos; color: #212121; mso-ansi-language: EN-US;">technology and interaction,<span>&nbsp;</span></span><span style="font-size: 11.0pt; line-height: 115%; mso-ascii-font-family: Aptos; mso-hansi-font-family: Aptos; color: #212121;">video analysis, ethnomethodology and conversation analysis. For her PhD project, she is conducting a video-based study of naturally occurring human-robot encounters in public places.</span></p>
<br /><p><span style="font-size: 11.0pt; line-height: 115%; mso-ascii-font-family: Aptos; mso-hansi-font-family: Aptos; color: #212121;">Christian Greiffenhagen is Associate Professor at the Department of Applied Social Sciences, The Hong Kong Polytechnic University of Hong Kong, where he leads the Video Analysis, Science and Technology (VAST) Research Group, which develops video-based methodologies to study the impact of scientific and technological developments on people&rsquo;s lives. In his research, he explores how people communicate and interact with novel technologies &lsquo;in the wild&rsquo;.</span></p>
<br /><p><span style="font-size: 11.0pt; line-height: 115%; mso-ascii-font-family: Aptos; mso-hansi-font-family: Aptos; color: #212121;">Robin James Smith is Professor of Sociology in the School of Spatial and Social Sciences, Cardiff University. He is also Visiting Professor at Wits. He is primarily interested in membership categorisation practices and has contributed to the development of MCA beyond person description. This work has included studies of mobilities in public space, as well as professional settings such as mountain rescue and police work.</span></p>
SUMMARY:Negotiating Rights to Mobility: Shared Spaces, Modes of Mobility, and Automatons
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