{"title":"Human Errors in Interpreting Visual Metaphor","authors":"S. Petridis, Lydia B. Chilton","doi":"10.1145/3325480.3325503","DOIUrl":null,"url":null,"abstract":"Visual metaphors are a creative technique used in print media to convey a message through images. This message is not said directly, but implied through symbols and how those symbols are juxtaposed in the image. The messages we see affect our thoughts and lives, and it is an open research challenge to get machines to automatically understand the implied messages in images. However, it is unclear how people process these images or to what degree they understand the meaning. We test several theories about how people interpret visual metaphors and find people can interpret the visual metaphor correctly without explanatory text with 41.3% accuracy. We provide evidence for four distinct types of errors people make in their interpretation, which speaks to the cognitive processes people use to infer the meaning. We also show that people's ability to interpret a visual message is not simply a function of image content but also of message familiarity. This implies that efforts to automatically understand visual images should take into account message familiarity.","PeriodicalId":415260,"journal":{"name":"Proceedings of the 2019 Conference on Creativity and Cognition","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 Conference on Creativity and Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3325480.3325503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Visual metaphors are a creative technique used in print media to convey a message through images. This message is not said directly, but implied through symbols and how those symbols are juxtaposed in the image. The messages we see affect our thoughts and lives, and it is an open research challenge to get machines to automatically understand the implied messages in images. However, it is unclear how people process these images or to what degree they understand the meaning. We test several theories about how people interpret visual metaphors and find people can interpret the visual metaphor correctly without explanatory text with 41.3% accuracy. We provide evidence for four distinct types of errors people make in their interpretation, which speaks to the cognitive processes people use to infer the meaning. We also show that people's ability to interpret a visual message is not simply a function of image content but also of message familiarity. This implies that efforts to automatically understand visual images should take into account message familiarity.