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Dear EMCA/AI network members,</div>
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We would like to share some more details of our upcoming meeting, <b>Friday February 27th, 12.30-14.00 CET</b>.</div>
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Meeting link: <span style="color: rgb(70, 120, 134);"><u><a style="color: rgb(70, 120, 134); margin: 0px; text-align: left;" data-ogsc="" data-linkindex="0" data-auth="NotApplicable" title="https://liu-se.zoom.us/j/67554855790" class="x_OWAAutoLink" id="OWA3ad99b03-e898-10c4-eb90-5e3ec1a6b4e7" href="https://liu-se.zoom.us/j/67554855790">https://liu-se.zoom.us/j/67554855790</a></u></span></div>
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We will have three <a data-auth="NotApplicable" class="OWAAutoLink" id="OWA11f73ea8-77a8-7e43-a437-0ab0f44c6a98" href="https://emcai.conversationanalysis.org/show-and-tells/">
show-and-tells</a> this meeting.</div>
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<div style="direction: ltr;" role="presentation">Gisela Reyes Cruz and Stuart Reeves:
<b><i>On Being Guided: How People Follow a Robot-Guided Tour</i></b></div>
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<div style="direction: ltr;" role="presentation" class="elementToProof">Ali Reza Majlesi:
<span class="elementToProof"><b><i>Affective stance in HRI</i></b></span></div>
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<div style="direction: ltr;" role="presentation">Yulia Kukles, <span style="color: black;">
Selim El Madani,</span> and Philippe Sormani: <b><i>Probing the Prompt: a Reflexive Explication of ChatGPT on Stage, in and as its Live Demo Properties</i></b></div>
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Please find the abstracts of these show-and-tells below.</div>
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We look forward to seeing you the 27th!</div>
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Best wishes,</div>
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Yulia, Lynn, and Hannah</div>
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--Show-and-tell abstracts--</div>
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<b><i>On Being Guided: How People Follow a Robot-Guided Tour</i></b></div>
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<i>We will present our recent HRI paper on following robots. We'd appreciate feedback regarding the presentation for the HRI conference, as well as insights on preliminary ideas for future research related to this topic.</i></div>
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<i>Paper abstract: "Being guided from one place to another is a pervasive social practice that connects deeply with socially aware robot navigation. We examine how robots come to feature within the organisation of these established and well-worn leading and
following practices, practices which are assembled `in place' by the efforts of individuals and groups that are using robot guides. We deployed mobile robots in a museum context to provide additional information for visitors around multiple sequential exhibits.
Our ethnomethodological video-based analysis of interaction centres on how the social organisation of being guided was practically managed by visitors: in initiation of following, doing following, and finding a place to stop. Our study shows how following
and being led is more than just a mechanical activity, and describe the implications for socially aware robot navigation in addressing novel technical challenges that a shift in understanding following-leading phenomena presents."</i></div>
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<span class="elementToProof"><b><i>Affective stance in HRI</i></b></span></div>
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<span class="elementToProof"><i>In this show-and-tell session, I present an excerpt of a video data from a study examining interactions between a social robot called Furhat with students in a Swedish high school. During the activity, the robot introduces a
set of electric circuits with varied lamp configurations and invite students to judge which configuration is correct or incorrect. At certain moment, the robot challenges the students� responses. The analysis focuses on how students display affect in their
responsive turns. </i></span></div>
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<b><i>Probing the Prompt: </i></b></div>
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<span style="font-family: Aptos, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><b><i>a Reflexive Explication of ChatGPT on Stage, in and as its Live Demo Properties</i></b></span></p>
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<span style="font-family: Aptos, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); line-height: 18.4px;"><i>On May 13<sup>th</sup>, 2024, OpenAI introduced ChatGPT 4o to the world. To boast its new features and capabilities, the tech giant chose, for the very
first time, the format of a live online demo staged in front of an audience and streamed on the company�s official Youtube channel. T</i></span><span style="font-family: Aptos, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><i>he encounter was devoted
to demonstrating the vision and voice capabilities of the application for the example of solving a linear equation. The presenter wrote down "3x + 1 = 4?" on a sheet of paper, showed it to his mobile phone�s video camera, and requested ChatGPT-4o to assist
in its solution, which it manifestly did. Throughout the live demo and for its plausible success, ordinary resources from everyday interaction were drawn upon, including categorial and sequential resources from teacher-student interaction, as well as an ostensibly
basic math equation. Just how were these resources drawn upon? To answer this question, we will offer a practice-based video analysis. In particular, we will draw on a technical reenactment ad hoc to respecify chatbot interaction analysis, thereby making explicit
how embodied methods and equipment (in addition to quasi-conversational ones) contributed to staging ChatGPT-4o as a "helpful" �math teacher�.</i></span></p>
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