Dissociating the effect of perceptual processing from affective processing in facial expression recognition might be achieved by using stimuli that are tailored to individual participants. Therefore, understanding how sensitive an individual is to different facial expressions could have diagnostic value and/or support the monitoring of treatment regimen.įacial emotion recognition relies on both perceptual processing and processing of affect from nonsensory systems, the relative contribution of which remains unclear (see Calvo & Nummenmaa, 2016, for a review). Additionally, there is considerable evidence showing that ability to recognize emotions from facial expressions is altered or impaired in, among others, people with depression (Dalili, Penton-Voak, Harmer, & Munafò, 2015), autism spectrum disorders (Trevisan & Birmingham, 2016), and neurodegenerative disorders (Löffler, Radke, Morawetz, & Derntl, 2016). Therefore, reliable detection and identification of the emotion conveyed by facial expressions is essential for effective positive social communication. Where perceptual processing is mainly driven by sensory systems and relies on the visual information in the face, affective processing retrieves emotional meaning through higher-order cognitive processes.įacial expressions are widely thought of as external representations of an individual’s internal thoughts, motivations, and feelings. This method can be applied to both (i) clinical areas where case studies are important and access to large sample sizes can be challenging and (ii) understanding the relative contribution of perceptual processing and affective processing in facial expression recognition. This paper describes a method to measure the sensitivity of an individual to different facial expressions and test differences in the individual’s sensitivity to these facial expressions using the model-comparison approach. Application of the approach for use with clinical populations, as well as understanding the relative contribution of perceptual processing and affective processing in facial expression recognition, is discussed. Increased sensitivity to happy compared with fear expressions was affected at smaller image sizes for some participants. Sensitivity is equivalent when measured on two different testing sessions, and greater sensitivity to happy expressions is maintained with short stimulus durations and stimuli generated using different morphing software. This tells us that individual participants are more sensitive to happy compared with fearful expressions. Individuals could reliably discriminate happy expressions diluted with a greater proportion of the neutral expression compared with that required for discrimination of fearful expressions. Sensitivity is defined as measurement of the proportion of neutral expression in a stimulus required for participants to discriminate the emotional expression on 75% of presentations. The expression was diluted to different degrees by combining it in different proportions with the neutral expression using morphing software. Sensitivity is measured by asking participants to discriminate between an emotional facial expression and a neutral expression of the same face. It shows that individual participants are more sensitive to happy than to fearful expressions and that the differences are statistically significant using the model-comparison approach. This is a service release improving quality.In particular,this release fixes a stability issue primarily observed on Macs with 8 cores or more.In addition it fixes a handful of mostly stability issues on both platforms.This paper describes a method to measure the sensitivity of an individual to different facial expressions. This is a service release improving quality.In particular,this release fixes a stability issue primarily observed on Macs with 8 cores or more.In addition it fixes a handful of mostly stability issues on both platforms. Also, bear in mind that Capture One Pro is not compatible with all RAW formats, so you will need to check if your camera is supported before using the program.Ĭamera One Pro is a powerful tool that allows you to tweak, edit and convert your RAW files in a professional working environment. The downside is that, because it's aimed at professionals, Capture One Pro is a little complex to use. Each time you apply a change to the image you'll be able to preview the result in real time. With Capture One Pro you'll be able to tweak exposure, white balance, focus and other values in your RAW images and then save them in other formats (the program also works as a RAW converter).
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