How Attention can Alter Appearances

Tse, Peter U.; Reavis, Eric A.; Kohler, Peter J.; Caplovitz, Gideon P.; Wheatley, Thalia

doi:10.1002/9781118329016.ch12

Cited by 2 publications

(2 citation statements)

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“…The interpretation of the task and image properties has a significant effect on the attention regulation of the participant in a quality estimation task ( Radun et al, 2016 ). Attentional focus amplifies and attenuates visual information at the visual cortex, changing the way the image and its quality is experienced ( Hochstein and Ahissar, 2002 ; Dehaene et al, 2006 ; Tse et al, 2013 ). What people experience is therefore highly context-dependent.…”

Section: Introductionmentioning

confidence: 99%

“…Asking consumers to evaluate products with a predefined attribute may interfere with their personal approach by diverting attention away from attributes that they would normally consider important ( Tordesillas and Chaiken, 1999 ; Radun et al, 2016 ). This may not only change the weighting of the individual attributes ( Wilson and Schooler, 1991 ) but may also interfere with the consumer’s experience of quality, which is dependent on the aspect receiving attention ( Tse et al, 2013 ; Yamada et al, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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The Fewer Reasons, the More You Like It! How Decision-Making Heuristics of Image Quality Estimation Exploit the Content of Subjective Experience

Leisti

Vaahteranoksa²,

Olives³

et al. 2022

Front. Psychol.

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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.

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Section: Introductionmentioning

confidence: 99%