{"title":"Reducing dental anxiety in children using robotic companions: A comparative study of behavior management techniques","authors":"Mine Yasemin , Elif Bahar Tuna Ince , Gökhan Ince","doi":"10.1016/j.ijhcs.2025.103633","DOIUrl":null,"url":null,"abstract":"<div><div>Anxiety related to dental treatment is a common case among children and can cause serious problems. This study introduces a new distraction technique that utilizes a robotic companion to improve the clinical experience of children and reduce dental anxiety during procedures. The goal is to create an enjoyable and calming environment for pediatric patients by employing robots, encouraging positive behaviors, and cooperation. This approach aims to avoid the expensive and risky alternatives of sedation and general anesthesia. The study focuses on children aged 6 to 10 years and presents an experimental setup involving a humanoid robot, enabling a Wizard of Oz experiment. We compare the effectiveness of two robotic companions and two conventional behavior management methods in reducing dental anxiety. Four groups of patients are treated in different behavior management scenarios: (1) a dentist treating a child without assistance, (2) a dentist assisted by a tablet, (3) a dentist assisted by a humanoid robot, and (4) a dentist assisted by a humanoid robot equipped with a screen on its chest. The performances of the robotic systems are evaluated through patient and dentist questionnaires, as well as by measuring the patient’s pulse rate. The results of the experiments carried out with 120 children demonstrate the effectiveness of the proposed approach using socially assistive robots in dental treatment.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"205 ","pages":"Article 103633"},"PeriodicalIF":5.1000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human-Computer Studies","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1071581925001909","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Anxiety related to dental treatment is a common case among children and can cause serious problems. This study introduces a new distraction technique that utilizes a robotic companion to improve the clinical experience of children and reduce dental anxiety during procedures. The goal is to create an enjoyable and calming environment for pediatric patients by employing robots, encouraging positive behaviors, and cooperation. This approach aims to avoid the expensive and risky alternatives of sedation and general anesthesia. The study focuses on children aged 6 to 10 years and presents an experimental setup involving a humanoid robot, enabling a Wizard of Oz experiment. We compare the effectiveness of two robotic companions and two conventional behavior management methods in reducing dental anxiety. Four groups of patients are treated in different behavior management scenarios: (1) a dentist treating a child without assistance, (2) a dentist assisted by a tablet, (3) a dentist assisted by a humanoid robot, and (4) a dentist assisted by a humanoid robot equipped with a screen on its chest. The performances of the robotic systems are evaluated through patient and dentist questionnaires, as well as by measuring the patient’s pulse rate. The results of the experiments carried out with 120 children demonstrate the effectiveness of the proposed approach using socially assistive robots in dental treatment.
期刊介绍:
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.
Research areas relevant to the journal include, but are not limited to:
• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
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