Nouf Abukhodair , Meehae Song , Serkan Pekçetin , Steve DiPaola
{"title":"设计基于轮子的评估工具来测量视觉审美情感","authors":"Nouf Abukhodair , Meehae Song , Serkan Pekçetin , Steve DiPaola","doi":"10.1016/j.cogsys.2023.101196","DOIUrl":null,"url":null,"abstract":"<div><p>Measuring emotions in a comprehensive and meaningful way has been a constant challenge for emotion researchers in behavioral sciences. There is much debate surrounding affect and emotion conveyed in artwork as these elements are subjective higher-level semantics that are difficult to measure objectively. This paper introduces the Visual Aesthetic Wheel of Emotion (VAWE), a domain-specific device for measuring visual aesthetic emotions, which was structurally inspired by the Geneva Emotion Wheel (GEW). The development of the emotion terms used in this device were based on an extensive literature review on emotions induced by visual art and music, as well as various assessment tools. A set of emotions representing different categories were compiled and a field study was conducted to select the most appropriate terms for the wheel. VAWE contains twenty emotion terms that reflect emotional responses to a perceived aesthetic emotion from artwork stimuli. GEW’s adaptation procedure and analysis was used to determine the placement of the terms around the wheel, including a self-reporting test was developed and implemented with sixty participants. The twenty aesthetic emotion terms are organized on a wheel-like format with points on the spokes of the wheel representing the intensity users feel, along with a neutral option in the center. The device differs from instruments that require respondents to rate their feelings on a list of emotions terms as it organizes the terms to be rated on a theoretically justified two-dimensional system of valence and arousal.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"84 ","pages":"Article 101196"},"PeriodicalIF":2.1000,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing a wheel-based assessment tool to measure visual aesthetic emotions\",\"authors\":\"Nouf Abukhodair , Meehae Song , Serkan Pekçetin , Steve DiPaola\",\"doi\":\"10.1016/j.cogsys.2023.101196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Measuring emotions in a comprehensive and meaningful way has been a constant challenge for emotion researchers in behavioral sciences. There is much debate surrounding affect and emotion conveyed in artwork as these elements are subjective higher-level semantics that are difficult to measure objectively. This paper introduces the Visual Aesthetic Wheel of Emotion (VAWE), a domain-specific device for measuring visual aesthetic emotions, which was structurally inspired by the Geneva Emotion Wheel (GEW). The development of the emotion terms used in this device were based on an extensive literature review on emotions induced by visual art and music, as well as various assessment tools. A set of emotions representing different categories were compiled and a field study was conducted to select the most appropriate terms for the wheel. VAWE contains twenty emotion terms that reflect emotional responses to a perceived aesthetic emotion from artwork stimuli. GEW’s adaptation procedure and analysis was used to determine the placement of the terms around the wheel, including a self-reporting test was developed and implemented with sixty participants. The twenty aesthetic emotion terms are organized on a wheel-like format with points on the spokes of the wheel representing the intensity users feel, along with a neutral option in the center. The device differs from instruments that require respondents to rate their feelings on a list of emotions terms as it organizes the terms to be rated on a theoretically justified two-dimensional system of valence and arousal.</p></div>\",\"PeriodicalId\":55242,\"journal\":{\"name\":\"Cognitive Systems Research\",\"volume\":\"84 \",\"pages\":\"Article 101196\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Systems Research\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389041723001304\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Systems Research","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389041723001304","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Designing a wheel-based assessment tool to measure visual aesthetic emotions
Measuring emotions in a comprehensive and meaningful way has been a constant challenge for emotion researchers in behavioral sciences. There is much debate surrounding affect and emotion conveyed in artwork as these elements are subjective higher-level semantics that are difficult to measure objectively. This paper introduces the Visual Aesthetic Wheel of Emotion (VAWE), a domain-specific device for measuring visual aesthetic emotions, which was structurally inspired by the Geneva Emotion Wheel (GEW). The development of the emotion terms used in this device were based on an extensive literature review on emotions induced by visual art and music, as well as various assessment tools. A set of emotions representing different categories were compiled and a field study was conducted to select the most appropriate terms for the wheel. VAWE contains twenty emotion terms that reflect emotional responses to a perceived aesthetic emotion from artwork stimuli. GEW’s adaptation procedure and analysis was used to determine the placement of the terms around the wheel, including a self-reporting test was developed and implemented with sixty participants. The twenty aesthetic emotion terms are organized on a wheel-like format with points on the spokes of the wheel representing the intensity users feel, along with a neutral option in the center. The device differs from instruments that require respondents to rate their feelings on a list of emotions terms as it organizes the terms to be rated on a theoretically justified two-dimensional system of valence and arousal.
期刊介绍:
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.