Ademario Santos Tavares, Marcelo M. Soares, Marcio A. Marçal
{"title":"Design and emotional responses: is there coherence between what is said and what is felt? A study using biofeedback and virtual reality","authors":"Ademario Santos Tavares, Marcelo M. Soares, Marcio A. Marçal","doi":"10.1007/s10055-024-00944-x","DOIUrl":null,"url":null,"abstract":"<p>Identifying users’ experience when using products is one of the major challenges for design. Analyzing users’ psychophysiological reactions to an experience using biofeedback can produce more reliable results than using subjective evaluations, such as structured interviews and questionnaires. Two case studies were conducted to identify emotions users actually felt and to check whether there is some correspondence with what they reported after using two computational systems. The first system investigated users’ emotions during training on a vehicle driving simulator, and the second analyzed the emotions experienced during a car racing game, both in a virtual reality environment. User’s opinions about their emotional state were obtained using self-report techniques (using the Geneva Emotions Wheel—GEW and Positive and Negative Affective Schedule—PANAS questionnaires) and applying EEG (brain activity with Frontal Alpha Asymmetry Index—FAAI) and infrared thermography (facial thermograms). The training experiment presented the greater concordance between the psychophysiological and the self-report responses. Results evidenced the importance of undertaking multimodal studies in design research to determine users’ emotional experiences in a virtual reality context.</p>","PeriodicalId":23727,"journal":{"name":"Virtual Reality","volume":"95 1","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10055-024-00944-x","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Identifying users’ experience when using products is one of the major challenges for design. Analyzing users’ psychophysiological reactions to an experience using biofeedback can produce more reliable results than using subjective evaluations, such as structured interviews and questionnaires. Two case studies were conducted to identify emotions users actually felt and to check whether there is some correspondence with what they reported after using two computational systems. The first system investigated users’ emotions during training on a vehicle driving simulator, and the second analyzed the emotions experienced during a car racing game, both in a virtual reality environment. User’s opinions about their emotional state were obtained using self-report techniques (using the Geneva Emotions Wheel—GEW and Positive and Negative Affective Schedule—PANAS questionnaires) and applying EEG (brain activity with Frontal Alpha Asymmetry Index—FAAI) and infrared thermography (facial thermograms). The training experiment presented the greater concordance between the psychophysiological and the self-report responses. Results evidenced the importance of undertaking multimodal studies in design research to determine users’ emotional experiences in a virtual reality context.
期刊介绍:
The journal, established in 1995, publishes original research in Virtual Reality, Augmented and Mixed Reality that shapes and informs the community. The multidisciplinary nature of the field means that submissions are welcomed on a wide range of topics including, but not limited to:
Original research studies of Virtual Reality, Augmented Reality, Mixed Reality and real-time visualization applications
Development and evaluation of systems, tools, techniques and software that advance the field, including:
Display technologies, including Head Mounted Displays, simulators and immersive displays
Haptic technologies, including novel devices, interaction and rendering
Interaction management, including gesture control, eye gaze, biosensors and wearables
Tracking technologies
VR/AR/MR in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modelling.
Impactful and original applications and studies of VR/AR/MR’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment and defence
Research demonstrating new techniques and approaches to designing, building and evaluating virtual and augmented reality systems
Original research studies assessing the social, ethical, data or legal aspects of VR/AR/MR.