Narrative Cognition in Mixed Reality Systems: Towards an Empirical Framework

Luis Emilio Bruni*, Hossein Dini, Aline Simonetti

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

9 Citationer (Scopus)

Abstract

In this paper, we propose an interdisciplinary theoretical and empirical framework to investigate the particular faculties related to human “narrative cognition”, in general, and in relation to MRT in particular. In order to contextualize our approach, we shortly review the cognitive turn in narratology, as well as state of the art in different domains that have undertaken psychophysiological studies that either characterize aspects that are relevant to narrative cognition, or which investigate mixed reality experiences. The idea is to bring together knowledge and insights from narratology, different branches of semiotics and cognitive sciences, with empirical strategies that bridge the gap between first-person phenomenological approaches and psychophysiological and behavioural methods. We propose a rationale in order to combine tools and techniques from MRT/VR/AR, interactive digital narratives and storytelling, with a suite of integrated psychophysiological methods (such as EEG, HR, GSR and eye tracking) and phenomenological-subjective approaches.
OriginalsprogEngelsk
TitelVirtual, Augmented and Mixed Reality : 13th International Conference, VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings
RedaktørerJ.Y.C. Chen , G. Fragomeni
Antal sider15
Vol/bind12770
ForlagSpringer
Publikationsdato2021
Sider3-17
Kapitel1
ISBN (Trykt)978-3-030-77598-8
ISBN (Elektronisk)978-3-030-77599-5
DOI
StatusUdgivet - 2021
Begivenhed
23rd International Conference on Human-Computer Interaction
- Virtual Event
Varighed: 24 jul. 202129 jul. 2021

Konference

Konference
23rd International Conference on Human-Computer Interaction
LokationVirtual Event
Periode24/07/202129/07/2021
NavnLecture Notes in Computer Science (LNCS)
ISSN0302-9743

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