Relaxed forced choice improves performance of visual quality assessment methods

dc.cclicenceCC-BY-NC-NDen
dc.contributor.authorJenadeleh, Mohsen
dc.contributor.authorZagermann, Johannes
dc.contributor.authorReiterer, Harald
dc.contributor.authorReips, Ulf-Dietrich
dc.contributor.authorHamzaoui, Raouf
dc.contributor.authorSaupe, Dietmar
dc.date.acceptance2023-04-21
dc.date.accessioned2023-04-28T13:29:41Z
dc.date.available2023-04-28T13:29:41Z
dc.date.issued2023-06
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractIn image quality assessment, a collective visual quality score for an image or video is obtained from the individual ratings of many subjects. One commonly used format for these experiments is the two-alternative forced choice method. Two stimuli with the same content but differing visual quality are presented sequentially or side-by-side. Subjects are asked to select the one of better quality, and when uncertain, they are required to guess. The relaxed alternative forced choice format aims to reduce the cognitive load and the noise in the responses due to the guessing by providing a third response option, namely, “not sure”. This work presents a large and comprehensive crowdsourcing experiment to compare these two response formats: the one with the “not sure” option and the one without it. To provide unambiguous ground truth for quality evaluation, subjects were shown pairs of images with differing numbers of dots and asked each time to choose the one with more dots. Our crowdsourcing study involved 254 participants and was conducted using a within-subject design. Each participant was asked to respond to 40 pair comparisons with and without the “not sure” response option and completed a questionnaire to evaluate their cognitive load for each testing condition. The experimental results show that the inclusion of the “not sure” response option in the forced choice method reduced mental load and led to models with better data fit and correspondence to ground truth. We also tested for the equivalence of the models and found that they were different. The dataset is available at http://database.mmsp-kn.de/cogvqa-database.html.en
dc.funderOther external funder (please detail below)en
dc.funder.otherDFG (German Research Foundation)en
dc.identifier.citationJenadeleh, M., Zagermann, J., Reiterer, H., Reips, U-D., Hamzaoui, R. and Saupe, D. (2023) Relaxed forced choice improves performance of visual quality assessment methods. In: Proc. 15th International Conference on Quality of Multimedia Experience (QoMEX), Ghent, June 2023.en
dc.identifier.urihttps://hdl.handle.net/2086/22786
dc.language.isoen_USen
dc.peerreviewedYesen
dc.projectidID 496858717, ID 251654672en
dc.publisherIEEEen
dc.researchinstituteInstitute of Engineering Sciences (IES)en
dc.subject2-alternative forced choiceen
dc.subjectpsychometric functionen
dc.subjectcrowdsourcingen
dc.subjectsubjective quality assessmenten
dc.titleRelaxed forced choice improves performance of visual quality assessment methodsen
dc.typeConferenceen

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