Difference between revisions of "Rolletetal2017"

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{{BibEntry
 
{{BibEntry
 +
|BibType=INCOLLECTION
 +
|Author(s)=Nicolas Rollet; Varun Jain; Christian Licoppe; Laurence Devillers;
 +
|Title=Towards Interactional Symbiosis: Epistemic Balance and Co-presence in a Quantified Self Experiment
 +
|Tag(s)=EMCA; conversation analysis; epistemics; human-robot interaction; preference; quantified self; robots; AI reference list
 
|Key=Rolletetal2017
 
|Key=Rolletetal2017
|Key=Rolletetal2017
+
|Publisher=Springer
|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
 
|Booktitle=Lecture Notes in Computer Science
 
|BibType=INCOLLECTION
 
 
|Year=2017
 
|Year=2017
 +
|Language=English
 +
|Address=Cham
 +
|Booktitle=Symbiotic Interaction 5th International Workshop, Symbiotic 2016 (Padua, Italy, September 29–30, 2016): Revised Selected Papers
 
|Pages=143–154
 
|Pages=143–154
|URL=http://link.springer.com/10.1007/978-3-319-57753-1\_13
+
|URL=https://link.springer.com/chapter/10.1007/978-3-319-57753-1_13
 
|DOI=10.1007/978-3-319-57753-1_13
 
|DOI=10.1007/978-3-319-57753-1_13
|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.
+
|Abstract=In the frame of an experiment dealing with quantified-self and reflexivity, 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 Conversational Analysis perspective, we believe that detailed analysis of interactional behaviors offers opportunities for socially interactive robots design improvements, that is: identify and reproduce human ordinary skills in order to make the machines more adaptable.
 
}}
 
}}

Latest revision as of 02:52, 4 September 2023

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, AI reference list
Publisher Springer
Year 2017
Language English
City Cham
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 Symbiotic Interaction 5th International Workshop, Symbiotic 2016 (Padua, Italy, September 29–30, 2016): Revised Selected Papers
Chapter

Download BibTex

Abstract

In the frame of an experiment dealing with quantified-self and reflexivity, 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 Conversational Analysis perspective, we believe that detailed analysis of interactional behaviors offers opportunities for socially interactive robots design improvements, that is: identify and reproduce human ordinary skills in order to make the machines more adaptable.

Notes