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Design and implementation of a robotic architecture for adaptive teaching: A case study on iranian sign language

Basiri, S ; Sharif University of Technology | 2021

309 Viewed
  1. Type of Document: Article
  2. DOI: 10.1007/s10846-021-01413-2
  3. Publisher: Springer Science and Business Media B.V , 2021
  4. Abstract:
  5. Social robots may soon be able to play an important role in expanding communication with the deaf. Based on the literature, adaptive user interfaces lead to greater user acceptance and increased teaching efficiency compared to non-adaptive ones. In this paper, we build a robotic architecture able to simultaneously adjust a robot’s teaching parameters according to both the user’s past and present performance, adapt the content of the training, and then implement it on the RASA robot to teach sign language based on these parameters in a manner similar to a human teacher. To do this, a word to teach in sign language, repetition, speed, and emotional valence were chosen to be adaptive using a fuzzy logic mechanism. Then, two groups of participants were recruited. For the first group, the robot teaches without the adaptive architecture, while for the second group, the teaching is done with the adaptive architecture. The assessment phase was conducted with 8 users in person and 48 users virtually. A standard UTAUT questionnaire was selected to assess the effectiveness of this methodology by comparing different items from the two groups of users. Statistical analysis of the T-test and Cohen’s d effect size found that the second group felt the robot’s adaptability significantly more than the first group, indicating that the methodology used in this study was effective and that the robot’s ability to adapt was felt by users. In addition, the results of the two groups were significantly different in several other items, revealing the effects of the adaptive architecture. © 2021, The Author(s), under exclusive licence to Springer Nature B.V
  6. Keywords:
  7. Agricultural robots ; Architecture ; Felt ; Felts ; Fuzzy logic ; Personnel training ; Robotics ; Robots ; User interfaces ; Adaptive architecture ; Adaptive user interface ; Assessment phase ; Design and implementations ; Emotional valences ; Past and present ; Robotic architectures ; Teaching efficiencies ; Educational robots
  8. Source: Journal of Intelligent and Robotic Systems: Theory and Applications ; Volume 102, Issue 2 , 2021 ; 09210296 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s10846-021-01413-2