2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) 2016
DOI: 10.1109/iiai-aai.2016.35
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Gender Differences in Emotional Responses to Iconic Design

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Cited by 4 publications
(3 citation statements)
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“…This shows the importance of understanding the reactions of consumers through facial expressions. There have been studies conducted using FR to obtain consumer emotional responses while evaluating food packaging [48], food products [49], problem-solving [50], and evaluating the texture of images [51]. However, there is a lack of studies based on the emotional responses obtained by FR with other responses, such as eye tracking to better understand the visual attention of consumers.…”
Section: Discussionmentioning
confidence: 99%
“…This shows the importance of understanding the reactions of consumers through facial expressions. There have been studies conducted using FR to obtain consumer emotional responses while evaluating food packaging [48], food products [49], problem-solving [50], and evaluating the texture of images [51]. However, there is a lack of studies based on the emotional responses obtained by FR with other responses, such as eye tracking to better understand the visual attention of consumers.…”
Section: Discussionmentioning
confidence: 99%
“…There have been recent studies conducted using FaceReader™ to evaluate images to obtain human emotions. For example, Ko and Yu [13] and Yu [14] studied facial expressions to understand the emotional responses towards two sets of images, with and without shading and texture. It was used as a guide for graphic designers to establish emotional connections with viewers by using design elements to reflect consumers interests.…”
Section: Introductionmentioning
confidence: 99%
“…Computer programs also enable to differentiate fake smile from the real one, even when it is not visually detectable (Del Giudice and Colle, 2007). In our study, we use FaceReader software which has been used to detect and analyse emotions in recent studies by Danner et al (2014), Horska et al (2016), Ko and Yu (2016) and Fanti et al (2017).…”
Section: Measuring Emotionsmentioning
confidence: 99%