BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//EMCAI network - ECPv6.18.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:EMCAI network
X-ORIGINAL-URL:https://emcai.conversationanalysis.org
X-WR-CALDESC:Events for EMCAI network
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260227T123000
DTEND;TZID=Europe/Paris:20260227T140000
DTSTAMP:20260907T085840Z
CREATED:20260907T085840Z
LAST-MODIFIED:20260907T085840Z
UID:212-1772195400-1772200800@emcai.conversationanalysis.org
SUMMARY:EMCAI Meeting – Friday 27 February – 12.30-14.00 CET
DESCRIPTION:We will have three show-and-tells this meeting.\n\n\nGisela Reyes Cruz and Stuart Reeves: On Being Guided: How People Follow a Robot-Guided Tour\n\n\nAli Reza Majlesi: Affective stance in HRI\n\n\nYulia Kukles\, Selim El Madani\, and Philippe Sormani: Probing the Prompt: A Reflexive Explication of ChatGPT on Stage\, in and as its Live Demo Properties\n\n\n\nPlease find the abstracts of these show-and-tells below.\n\nOn Being Guided: How People Follow a Robot-Guided Tour\n\nWe 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.\n \nPaper 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.”\n\n\nAffective stance in HRI\nIn 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. \n\nProbing the Prompt: A Reflexive Explication of ChatGPT on Stage\, in and as its Live Demo Properties\nOn May 13th\, 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. The 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”.
URL:https://emcai.conversationanalysis.org/event/emcai-meeting-friday-27-february-12-30-14-00-cet/
END:VEVENT
END:VCALENDAR