Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Psychophysiology-Based QoE Assessment: A Survey
Commonwealth Scientific and Industrial Research Organisation, Australia.
Dolby Laboratories, USA.
Dolby Laboratories, USA.
Fraunhofer Institute for Telecommunications, Germany.
Show others and affiliations
2017 (English)In: IEEE Journal on Selected Topics in Signal Processing, ISSN 1932-4553, E-ISSN 1941-0484, Vol. 11, no 1, p. 6-21, article id 7569001Article in journal (Refereed) Published
Abstract [en]

We present a survey of psychophysiology-based assessment for quality of experience (QoE) in advanced multimedia technologies. We provide a classification of methods relevant to QoE and describe related psychological processes, experimental design considerations, and signal analysis techniques. We summarize multimodal techniques and discuss several important aspects of psychophysiology-based QoE assessment, including the synergies with psychophysical assessment and the need for standardized experimental design. This survey is not considered to be exhaustive but serves as a guideline for those interested to further explore this emerging field of research.

Place, publisher, year, edition, pages
2017. Vol. 11, no 1, p. 6-21, article id 7569001
Keywords [en]
Electrocardiography, electrodermal activity, electroencephalography, eye tracking, near-infrared spectroscopy, psychophysiology, pupillometry, quality of experience, Electrodes, Electrophysiology, Infrared devices, Multimedia systems, Near infrared spectroscopy, Physiology, Statistics, Surveys, Design considerations, Eye-tracking, Multi-modal techniques, Multimedia technologies, Psychological process, Quality of experience (QoE), Quality of service
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29358DOI: 10.1109/JSTSP.2016.2609843Scopus ID: 2-s2.0-85015199281OAI: oai:DiVA.org:ri-29358DiVA, id: diva2:1093796
Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2023-05-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Brunnström, Kjell

Search in DiVA

By author/editor
Brunnström, Kjell
By organisation
Acreo
In the same journal
IEEE Journal on Selected Topics in Signal Processing
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 174 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf