Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience

K de Moor, F Mazza, I Hupont, M Rios Quintero, Toni Mäki, Martin Varela

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

9 Citations (Scopus)

Abstract

Evaluating (audio)visual quality and Quality of Experience (QoE) from the userâ T s perspective, has become a key element in optimizing usersâ T experiences and their quality. Traditionally, the focus lies on how multi-level quality features are perceived by a human user. The interest has however gradually expanded towards human cognitive, affective and behavioral processes that may impact on, be an element of, or be influenced by QoE, and which have been underinvestigated so far. In addition, there is a major discrepancy between the new, broadly supported and more holistic conceptualization of QoE proposed by Le Callet et al. (2012) and traditional, standardized QoE assessment. This paper explores ways to tackle this discrepancy by means of a multi-instrumental approach. More concretely, it presents results from a lab study on video quality (N=27), aimed at going beyond the dominant QoE assessment paradigm and at exploring affective aspects in relation to QoE and in relation to perceived overall quality. Four types of data were collected: Â traditionalâ T QoE self-report measures were complemented with â alternativeâ T , emotional state- and user engagement-related self-report measures to evaluate QoE. In addition, we collected EEG (physiological) data, gazetracking data and facial expressions (behavioral) data. The video samples used in test were longer in duration than is common in standard tests allowing us to study e.g. more realistic experience and deeper user engagement. Our findings support the claim that the traditional QoE measures need to be reconsidered and extended with additional, affective staterelated measures
Original languageEnglish
Title of host publicationProceedings of SPIE
Subtitle of host publicationHuman Vision and Electronic Imaging XIX, Volume 9014, 2014
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventHuman Vision and Electronic Imaging XIX - San Francisco, CA, United States
Duration: 3 Feb 20146 Feb 2014

Conference

ConferenceHuman Vision and Electronic Imaging XIX
CountryUnited States
CitySan Francisco, CA
Period3/02/146/02/14

Fingerprint

Electroencephalography

Keywords

  • (audio)visual quality
  • EEG
  • emotional state
  • eyetracking
  • facial expressions
  • Quality of Experience
  • user engangement

Cite this

de Moor, K., Mazza, F., Hupont, I., Rios Quintero, M., Mäki, T., & Varela, M. (2014). Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience. In Proceedings of SPIE: Human Vision and Electronic Imaging XIX, Volume 9014, 2014 [90140U] https://doi.org/10.1117/12.2042243
de Moor, K ; Mazza, F ; Hupont, I ; Rios Quintero, M ; Mäki, Toni ; Varela, Martin. / Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience. Proceedings of SPIE: Human Vision and Electronic Imaging XIX, Volume 9014, 2014. 2014.
@inproceedings{3e8317ddaec04680b845d74adb28621d,
title = "Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience",
abstract = "Evaluating (audio)visual quality and Quality of Experience (QoE) from the user{\^a} T s perspective, has become a key element in optimizing users{\^a} T experiences and their quality. Traditionally, the focus lies on how multi-level quality features are perceived by a human user. The interest has however gradually expanded towards human cognitive, affective and behavioral processes that may impact on, be an element of, or be influenced by QoE, and which have been underinvestigated so far. In addition, there is a major discrepancy between the new, broadly supported and more holistic conceptualization of QoE proposed by Le Callet et al. (2012) and traditional, standardized QoE assessment. This paper explores ways to tackle this discrepancy by means of a multi-instrumental approach. More concretely, it presents results from a lab study on video quality (N=27), aimed at going beyond the dominant QoE assessment paradigm and at exploring affective aspects in relation to QoE and in relation to perceived overall quality. Four types of data were collected: {\^A} traditional{\^a} T QoE self-report measures were complemented with {\^a} alternative{\^a} T , emotional state- and user engagement-related self-report measures to evaluate QoE. In addition, we collected EEG (physiological) data, gazetracking data and facial expressions (behavioral) data. The video samples used in test were longer in duration than is common in standard tests allowing us to study e.g. more realistic experience and deeper user engagement. Our findings support the claim that the traditional QoE measures need to be reconsidered and extended with additional, affective staterelated measures",
keywords = "(audio)visual quality, EEG, emotional state, eyetracking, facial expressions, Quality of Experience, user engangement",
author = "{de Moor}, K and F Mazza and I Hupont and {Rios Quintero}, M and Toni M{\"a}ki and Martin Varela",
year = "2014",
doi = "10.1117/12.2042243",
language = "English",
isbn = "978-081949931-8",
booktitle = "Proceedings of SPIE",

}

de Moor, K, Mazza, F, Hupont, I, Rios Quintero, M, Mäki, T & Varela, M 2014, Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience. in Proceedings of SPIE: Human Vision and Electronic Imaging XIX, Volume 9014, 2014., 90140U, Human Vision and Electronic Imaging XIX, San Francisco, CA, United States, 3/02/14. https://doi.org/10.1117/12.2042243

Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience. / de Moor, K; Mazza, F; Hupont, I; Rios Quintero, M; Mäki, Toni; Varela, Martin.

Proceedings of SPIE: Human Vision and Electronic Imaging XIX, Volume 9014, 2014. 2014. 90140U.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience

AU - de Moor, K

AU - Mazza, F

AU - Hupont, I

AU - Rios Quintero, M

AU - Mäki, Toni

AU - Varela, Martin

PY - 2014

Y1 - 2014

N2 - Evaluating (audio)visual quality and Quality of Experience (QoE) from the userâ T s perspective, has become a key element in optimizing usersâ T experiences and their quality. Traditionally, the focus lies on how multi-level quality features are perceived by a human user. The interest has however gradually expanded towards human cognitive, affective and behavioral processes that may impact on, be an element of, or be influenced by QoE, and which have been underinvestigated so far. In addition, there is a major discrepancy between the new, broadly supported and more holistic conceptualization of QoE proposed by Le Callet et al. (2012) and traditional, standardized QoE assessment. This paper explores ways to tackle this discrepancy by means of a multi-instrumental approach. More concretely, it presents results from a lab study on video quality (N=27), aimed at going beyond the dominant QoE assessment paradigm and at exploring affective aspects in relation to QoE and in relation to perceived overall quality. Four types of data were collected: Â traditionalâ T QoE self-report measures were complemented with â alternativeâ T , emotional state- and user engagement-related self-report measures to evaluate QoE. In addition, we collected EEG (physiological) data, gazetracking data and facial expressions (behavioral) data. The video samples used in test were longer in duration than is common in standard tests allowing us to study e.g. more realistic experience and deeper user engagement. Our findings support the claim that the traditional QoE measures need to be reconsidered and extended with additional, affective staterelated measures

AB - Evaluating (audio)visual quality and Quality of Experience (QoE) from the userâ T s perspective, has become a key element in optimizing usersâ T experiences and their quality. Traditionally, the focus lies on how multi-level quality features are perceived by a human user. The interest has however gradually expanded towards human cognitive, affective and behavioral processes that may impact on, be an element of, or be influenced by QoE, and which have been underinvestigated so far. In addition, there is a major discrepancy between the new, broadly supported and more holistic conceptualization of QoE proposed by Le Callet et al. (2012) and traditional, standardized QoE assessment. This paper explores ways to tackle this discrepancy by means of a multi-instrumental approach. More concretely, it presents results from a lab study on video quality (N=27), aimed at going beyond the dominant QoE assessment paradigm and at exploring affective aspects in relation to QoE and in relation to perceived overall quality. Four types of data were collected: Â traditionalâ T QoE self-report measures were complemented with â alternativeâ T , emotional state- and user engagement-related self-report measures to evaluate QoE. In addition, we collected EEG (physiological) data, gazetracking data and facial expressions (behavioral) data. The video samples used in test were longer in duration than is common in standard tests allowing us to study e.g. more realistic experience and deeper user engagement. Our findings support the claim that the traditional QoE measures need to be reconsidered and extended with additional, affective staterelated measures

KW - (audio)visual quality

KW - EEG

KW - emotional state

KW - eyetracking

KW - facial expressions

KW - Quality of Experience

KW - user engangement

U2 - 10.1117/12.2042243

DO - 10.1117/12.2042243

M3 - Conference article in proceedings

SN - 978-081949931-8

BT - Proceedings of SPIE

ER -

de Moor K, Mazza F, Hupont I, Rios Quintero M, Mäki T, Varela M. Chamber QoE: A multi-instrumental approach to explore affective aspects in relation to quality of experience. In Proceedings of SPIE: Human Vision and Electronic Imaging XIX, Volume 9014, 2014. 2014. 90140U https://doi.org/10.1117/12.2042243