Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022)
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| Titel: | Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022) |
|---|---|
| Autoren: | Aleph Campos da Silveira, Mariane Lima de Souza, Gheorghita Ghinea, Celso Alberto Saibel Santos |
| Quelle: | International Journal of Human–Computer Interaction. 41:664-693 |
| Verlagsinformationen: | Informa UK Limited, 2024. |
| Publikationsjahr: | 2024 |
| Schlagwörter: | physiological data, user experience, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, biosignals, 0501 psychology and cognitive sciences, quality of experience, 02 engineering and technology |
| Beschreibung: | The evaluation of human responses in multimedia experiences using physiological data has a well-established presence in the academic literature. However, this field is currently undergoing transformative changes, driven by the accessibility of diverse and cost-effective devices, innovative software analysis methods, and the emergence of novel application domains such as Virtual and Augmented Reality and mulsemedia. To address the imperative of contextualizing these evolving trends in a contemporary context, this paper presents a systematic review with the objective of delineating the array of physiological data utilized in assessing Quality of Experience (QoE) and User Experience (UX) in multimedia studies. It also examines the devices employed for data collection and the analytical techniques applied to interpret the acquired data. While our review exposes both constraints and promising discoveries in these domains, it also emphasizes the escalating significance and practicality of leveraging physiological data in user assessments, especially as the boundaries between the physical and digital domains continue to blur. Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil) – Finance Codes 88887.570688/2020-00 and 88881.689984/2022-01; National Council for Scientific and Technological Development (CNPQ, Brazil) – Finance Code 307718/2020-4; Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES, Brazil) – Finance Code 2021-GL60J. |
| Publikationsart: | Article |
| Dateibeschreibung: | Print-Electronic |
| Sprache: | English |
| ISSN: | 1532-7590 1044-7318 |
| DOI: | 10.1080/10447318.2024.2311972 |
| Zugangs-URL: | https://bura.brunel.ac.uk/handle/2438/28555 |
| Rights: | CC BY NC |
| Dokumentencode: | edsair.doi.dedup.....ceb6e8abd3c20a3127bb404b8a3776e5 |
| Datenbank: | OpenAIRE |
| Abstract: | The evaluation of human responses in multimedia experiences using physiological data has a well-established presence in the academic literature. However, this field is currently undergoing transformative changes, driven by the accessibility of diverse and cost-effective devices, innovative software analysis methods, and the emergence of novel application domains such as Virtual and Augmented Reality and mulsemedia. To address the imperative of contextualizing these evolving trends in a contemporary context, this paper presents a systematic review with the objective of delineating the array of physiological data utilized in assessing Quality of Experience (QoE) and User Experience (UX) in multimedia studies. It also examines the devices employed for data collection and the analytical techniques applied to interpret the acquired data. While our review exposes both constraints and promising discoveries in these domains, it also emphasizes the escalating significance and practicality of leveraging physiological data in user assessments, especially as the boundaries between the physical and digital domains continue to blur. Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil) – Finance Codes 88887.570688/2020-00 and 88881.689984/2022-01; National Council for Scientific and Technological Development (CNPQ, Brazil) – Finance Code 307718/2020-4; Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES, Brazil) – Finance Code 2021-GL60J. |
|---|---|
| ISSN: | 15327590 10447318 |
| DOI: | 10.1080/10447318.2024.2311972 |
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