Difference between revisions of "Rolletetal2017"

From emcawiki
Jump to: navigation, search
(BibTeX auto import 2017-09-26 12:37:26)
 
m
Line 1: Line 1:
 
{{BibEntry
 
{{BibEntry
|Key=Rolletetal2017
+
|BibType=INCOLLECTION
|Key=Rolletetal2017
+
|Author(s)=Nicolas Rollet; Varun Jain; Christian Licoppe; Laurence Devillers;
 
|Title=Towards Interactional Symbiosis: Epistemic Balance and Co-presence in a Quantified Self Experiment
 
|Title=Towards Interactional Symbiosis: Epistemic Balance and Co-presence in a Quantified Self Experiment
|Author(s)=Nicolas Rollet; Varun Jain; Christian Licoppe; Laurence Devillers;
 
 
|Tag(s)=EMCA; conversation analysis; epistemics; human-robot interaction; preference; quantified self; robots
 
|Tag(s)=EMCA; conversation analysis; epistemics; human-robot interaction; preference; quantified self; robots
 +
|Key=Rolletetal2017
 +
|Year=2017
 
|Booktitle=Lecture Notes in Computer Science
 
|Booktitle=Lecture Notes in Computer Science
|BibType=INCOLLECTION
 
|Year=2017
 
 
|Pages=143–154
 
|Pages=143–154
 
|URL=http://link.springer.com/10.1007/978-3-319-57753-1\_13
 
|URL=http://link.springer.com/10.1007/978-3-319-57753-1\_13

Revision as of 06:42, 26 September 2017

Rolletetal2017
BibType INCOLLECTION
Key Rolletetal2017
Author(s) Nicolas Rollet, Varun Jain, Christian Licoppe, Laurence Devillers
Title Towards Interactional Symbiosis: Epistemic Balance and Co-presence in a Quantified Self Experiment
Editor(s)
Tag(s) EMCA, conversation analysis, epistemics, human-robot interaction, preference, quantified self, robots
Publisher
Year 2017
Language
City
Month
Journal
Volume
Number
Pages 143–154
URL Link
DOI 10.1007/978-3-319-57753-1_13
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title Lecture Notes in Computer Science
Chapter

Download BibTex

Abstract

In the frame of an experiment dealing with quantified-self and re- flexivity, we collected audio-video data that provide us with material to discuss the ways in which the participants would work out social synergy through co- presence management and epistemic balance – accounting for their orientation towards the familiar symbiotic nature of human interactions. Following a Con- versational Analysis perspective, we believe that detailed analysis of interactio- nal behaviors offers opportunities for socially interactive robots design impro- vements, that is: identify and reproduce human ordinary skills in order to make the machines more adaptable.

Notes