A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education
- Resource Type
- Conference
- Authors
- Lytridis, Chris; Kaburlasos, Vassilis G.; Bazinas, Christos; Papakostas, George A.; Papadopoulou, Christina I.; Nikopoulou, Vasiliki Aliki
- Source
- 2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Software, Telecommunications and Computer Networks (SoftCOM), 2021 International Conference on. :1-5 Sep, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Correlation
Education
Lattices
Software
Computer networks
Telecommunications
Robots
robot-assisted therapy
ASD interventions
social robots
behavioral data analysis
human-robot interaction
- Language
- ISSN
- 1847-358X
This paper presents a software toolbox used for the behavioral analysis of data collected during interventions with children with ASD. The software employs Lattice Computing (LC)-based data representation to compute behavioral states by processing facial landmark data recorded during the real-world interventions. The correlation of the computed behavioral states at various time instances with the corresponding robot actions, can allow specialists to study the causal effects of the various robot interaction modalities to child behavior. The results from applying the real-world data to the proposed software toolbox demonstrate the capability that the software offers specialists to assess their robot-assisted interventions, with the aim of improving the design of robot-based interventions in order to achieve better therapeutic results.