Robotic approach to the reduction of dental anxiety in children

Yelda Kasimoglu*, Simin Kocaaydin, Emine Karsli, Merve Esen, Irmak Bektas, Gökhan Ince, Elif Bahar Tuna

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Objective: We introduced a humanoid robot for the use of techno-psychological distraction techniques in children aged 4–10 to reduce their anxiety and improve their behaviour during dental treatment. Materials and methods: Two hundred children (98 boys, 102 girls; mean age: 6.5 ± 1.66 years) appointed for first time for dental caries were included and randomly divided into two groups [N = 100 for each group; RG: Robot Group (accompanied by the robot), CG: Control Group (without robot accompaniment)]. Half of the children were treated under local anaesthesia (infiltration anaesthesia) (n = 50 within each group) and half of the children were treated without any local anaesthesia (n = 50 within each group) within each group. The success rate of the new robotic distraction technique was evaluated by using Parental Corah Dental Anxiety Scale, Facial Image Scale (FIS), physiological pulse rate and Frankl Behaviour Rating Scale (FBRS). Result: Pulse rates, which measured during treatment and after treatment, were statistically higher in CG than in RG (p <.05). After dental treatment, the FIS score was significantly higher in CG than RG (p <.05). 88.3% of the children in RG stated that they wanted the robot to be with them at the next treatment session. Conclusions: Robotic technology can successfully help in coping with dental anxiety and stress, and helps children to behave better in dental office.

Original languageEnglish
Pages (from-to)474-480
Number of pages7
JournalActa Odontologica Scandinavica
Volume78
Issue number6
DOIs
Publication statusPublished - 17 Aug 2020

Bibliographical note

Publisher Copyright:
© 2020 Acta Odontologica Scandinavica Society.

Keywords

  • Children
  • dental anxiety
  • healthcare robotics
  • human computer interaction
  • iRobiQ
  • WoZ experimentation

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