Psychophysiology-Based QoE Assessment: A Survey
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 su...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal Article |
| Published: |
IEEE
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/50215 |
| _version_ | 1848758423408082944 |
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| author | Engelke, U. Darcy, D. Mulliken, G. Bosse, S. Martini, M. Arndt, S. Antons, J. Chan, Kit Yan Ramzan, N. Brunnström, K. |
| author_facet | Engelke, U. Darcy, D. Mulliken, G. Bosse, S. Martini, M. Arndt, S. Antons, J. Chan, Kit Yan Ramzan, N. Brunnström, K. |
| author_sort | Engelke, U. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:43:45Z |
| format | Journal Article |
| id | curtin-20.500.11937-50215 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:43:45Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-502152017-09-13T21:24:48Z Psychophysiology-Based QoE Assessment: A Survey Engelke, U. Darcy, D. Mulliken, G. Bosse, S. Martini, M. Arndt, S. Antons, J. Chan, Kit Yan Ramzan, N. Brunnström, K. 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/50215 10.1109/JSTSP.2016.2609843 IEEE fulltext |
| spellingShingle | Engelke, U. Darcy, D. Mulliken, G. Bosse, S. Martini, M. Arndt, S. Antons, J. Chan, Kit Yan Ramzan, N. Brunnström, K. Psychophysiology-Based QoE Assessment: A Survey |
| title | Psychophysiology-Based QoE Assessment: A Survey |
| title_full | Psychophysiology-Based QoE Assessment: A Survey |
| title_fullStr | Psychophysiology-Based QoE Assessment: A Survey |
| title_full_unstemmed | Psychophysiology-Based QoE Assessment: A Survey |
| title_short | Psychophysiology-Based QoE Assessment: A Survey |
| title_sort | psychophysiology-based qoe assessment: a survey |
| url | http://hdl.handle.net/20.500.11937/50215 |