The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience
Imaging science has approached subjective image quality (IQ) as a perceptual phenomenon, with an emphasis on thresholds of defects. The paradigmatic design of subjective IQ estimation, the two-alternative forced-choice (2AFC) method, however, requires viewers to make decisions. We investigated decis...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.867874/full |
| _version_ | 1828324675771432960 |
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| author | Tuomas Leisti Mikko Vaahteranoksa Jean-Luc Olives Veli-Tapani Peltoketo Jukka Häkkinen |
| author_facet | Tuomas Leisti Mikko Vaahteranoksa Jean-Luc Olives Veli-Tapani Peltoketo Jukka Häkkinen |
| author_sort | Tuomas Leisti |
| collection | DOAJ |
| description | Imaging science has approached subjective image quality (IQ) as a perceptual phenomenon, with an emphasis on thresholds of defects. The paradigmatic design of subjective IQ estimation, the two-alternative forced-choice (2AFC) method, however, requires viewers to make decisions. We investigated decision strategies in three experiments both by asking the research participants to give reasons for their decisions and by examining the decision times. We found that typical for larger quality differences is a smaller set of subjective attributes, resulting from convergent attention toward the most salient attribute, leading to faster decisions and better accuracy. Smaller differences are characterized by divergent attention toward different attributes and an emphasis on preferential attributes instead of defects. In larger differences, attributes have sigmoidal relationships between their visibility and their occurrence in explanations. For other attributes, this relationship is more random. We also examined decision times in different attribute configurations to clarify the heuristics of IQ estimation, and we distinguished a top-down-oriented Take-the-Best heuristic and a bottom-up visual salience-based heuristic. In all experiments, heuristic one-reason decision-making endured as a prevailing strategy independent of quality difference or task. |
| first_indexed | 2024-04-13T19:09:13Z |
| format | Article |
| id | doaj.art-66194549174d44cc8b43f8d0c70a0dfe |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-13T19:09:13Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-66194549174d44cc8b43f8d0c70a0dfe2022-12-22T02:33:53ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-06-011310.3389/fpsyg.2022.867874867874The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective ExperienceTuomas Leisti0Mikko Vaahteranoksa1Jean-Luc Olives2Veli-Tapani Peltoketo3Jukka Häkkinen4Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, FinlandHuawei Technologies Oy (Finland) Co., Ltd., Helsinki, FinlandHuawei Technologies Oy (Finland) Co., Ltd., Helsinki, FinlandHuawei Technologies Oy (Finland) Co., Ltd., Helsinki, FinlandDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, FinlandImaging science has approached subjective image quality (IQ) as a perceptual phenomenon, with an emphasis on thresholds of defects. The paradigmatic design of subjective IQ estimation, the two-alternative forced-choice (2AFC) method, however, requires viewers to make decisions. We investigated decision strategies in three experiments both by asking the research participants to give reasons for their decisions and by examining the decision times. We found that typical for larger quality differences is a smaller set of subjective attributes, resulting from convergent attention toward the most salient attribute, leading to faster decisions and better accuracy. Smaller differences are characterized by divergent attention toward different attributes and an emphasis on preferential attributes instead of defects. In larger differences, attributes have sigmoidal relationships between their visibility and their occurrence in explanations. For other attributes, this relationship is more random. We also examined decision times in different attribute configurations to clarify the heuristics of IQ estimation, and we distinguished a top-down-oriented Take-the-Best heuristic and a bottom-up visual salience-based heuristic. In all experiments, heuristic one-reason decision-making endured as a prevailing strategy independent of quality difference or task.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.867874/fullimage qualityjudgment and decision-makingheuristicsattentionsubjective experienceimage quality attributes |
| spellingShingle | Tuomas Leisti Mikko Vaahteranoksa Jean-Luc Olives Veli-Tapani Peltoketo Jukka Häkkinen The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience Frontiers in Psychology image quality judgment and decision-making heuristics attention subjective experience image quality attributes |
| title | The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience |
| title_full | The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience |
| title_fullStr | The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience |
| title_full_unstemmed | The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience |
| title_short | The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience |
| title_sort | fewer reasons the more you like it how decision making heuristics of image quality estimation exploit the content of subjective experience |
| topic | image quality judgment and decision-making heuristics attention subjective experience image quality attributes |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.867874/full |
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