Assistive technology for autism spectrum disorder children that experiences stress and anxiety
DOI:
https://doi.org/10.14295/bjs.v2i12.426Keywords:
Assistive Technology, ASD, Autism, Anxiety, StressAbstract
With the development of current technology and influences that have been made by the Industry 4.0 utilizing ICTs, IoT, smart systems and products and many others, Assistive Technology (AT) is an important and integral part of the daily life of many people who experience disabilities. Autism Spectrum Disorder (ASD) is a special category of disorder that can greatly benefit from its use. The purpose of this research is to collect data of Assistive Technology aimed at the detection, prevention and improvement of anxiety and stress (a characteristic of which has been proven to exist and is expressed in various ways in people with ASD). In the introduction, basic definitions regarding the neurobiology of stress and ASD are analyzed. In the main part AT, stress and anxiety correlations are made with ASD and AT devices are described and documented regarding their use for anxiety and stress in children and adolescents with ASD. The Assistive equipment and devices are divided into 2 main categories, 1) Low-tech and 2) Mid-High tech. The results of the research reveal a significant research gap in the use of AT to combat stress and anxiety and the difficulty of many promising options (especially in the domain of Mid-High tech) to be an easy and economical solution in integrating them into the daily life of people with ASD.
References
Airij, A. G., Sudirman, R., Sheikh, U. U., Khuan, L. Y., & Zakaria, N. A. (2020). Significance of electrodermal activity response in children with autism spectrum disorder. Indonesian Journal of Electrical Engineering and Computer Science, 19(2), 1113. https://doi.org/10.11591/ijeecs.v19.i2.pp1113-1120 DOI: https://doi.org/10.11591/ijeecs.v19.i2.pp1113-1120
Albein-Urios, N., Youssef, G. J., Kirkovski, M., & Enticott, P. G. (2018). Autism Spectrum Traits Linked with Reduced Performance on Self-Report Behavioural Measures of Cognitive Flexibility. Journal of Autism and Developmental Disorders, 48(7), 2506–2515. https://doi.org/10.1007/s10803-018-3503-3 DOI: https://doi.org/10.1007/s10803-018-3503-3
Alexopoulou, A., Batsou, A., Drigas, A. (2020). Mobiles and cognition: The associations between mobile technology and cognitive flexibility iJIM, 14(3), 146-156 DOI: https://doi.org/10.3991/ijim.v14i03.11233
Aminuddin, R., Sharkey, A. J. C., & Levita, L. (2016). Interaction with the Paro robot may reduce psychophysiological stress responses. In: 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). https://doi.org/10.1109/hri.2016.7451872 DOI: https://doi.org/10.1109/HRI.2016.7451872
Bakola, L., & Drigas, A. (2020). Technological development process of emotional Intelligence as a therapeutic recovery implement in children with ADHD and ASD comorbidity. International Association of Online Engineering, 16(3), 75-85. DOI: https://doi.org/10.3991/ijoe.v16i03.12877
Bakola, L., Chaidi, I., Drigas, A., Skianis, C., & Karagiannidis, C. (2022). Women with Special Educational Needs. Policies & ICT for Integration & Equality. Technium Soc. Sci. J., 28, 67. DOI: https://doi.org/10.47577/tssj.v28i1.5708
Bamicha, V., & Drigas, A. (2022). ToM & ASD: The interconnection of Theory of Mind with the social-emotional, cognitive development of children with Autism Spectrum Disorder. The use of ICTs as an alternative form of intervention in ASD. Technium Social Sciences Journal, 33, 42–72. https://doi.org/10.47577/tssj.v33i1.6845 DOI: https://doi.org/10.47577/tssj.v33i1.6845
Bamicha, V., Drigas, A. (2022). The Evolutionary Course of Theory of Mind - Factors that facilitate or inhibit its operation & the role of ICTs. Technium Social Sciences Journal, 30, 138-158 DOI: https://doi.org/10.47577/tssj.v30i1.6220
Becklund, A. L., Rapp-McCall, L., & Nudo, J. (2021). Using weighted blankets in an inpatient mental health hospital to decrease anxiety. Journal of Integrative Medicine, 19(2), 129–134. https://doi.org/10.1016/j.joim.2020.11.004 DOI: https://doi.org/10.1016/j.joim.2020.11.004
Benedicto, G., Val, M., Fernández, E., Ferrer, F.S., Ferrández, J.M. (2022). Autism Spectrum Disorder (ASD): Emotional Intervention Protocol. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J. R., de La Paz López, F., Adeli, H. (eds) Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. IWINAC 2022. Lecture Notes in Computer Science, 13258. Springer, Cham. https://doi.org/10.1007/978-3-031-06242-1_3 DOI: https://doi.org/10.1007/978-3-031-06242-1_31
Bravou, V., Oikonomidou, D., Drigas, A. (2022). Applications of Virtual Reality for Autism Inclusion. A review. Retos, 45, 779-785 DOI: https://doi.org/10.47197/retos.v45i0.92078
Bravou, V., Driga, A. M., & Drigas, A. (2022). Emotion Regulation, the Function of Stress Hormones & Digital Technologies. Technium BioChemMed, 3(2), 27–33. https://doi.org/10.47577/biochemmed.v3i2.6338 DOI: https://doi.org/10.47577/biochemmed.v3i2.6338
Cañete, R., & Peralta, M. Á. P. (2022). ASDesign: A User-Centered Method for the Design of Assistive Technology That Helps Children with Autism Spectrum Disorders Be More Independent in Their Daily Routines. Sustainability, 14(1), 516. https://doi.org/10.3390/su14010516 DOI: https://doi.org/10.3390/su14010516
Cavallo, F., Brubaker, H., & Brown, T. (2020). Utilizing Individual Z-scores to Measure Efficacy of the World’s First Augmented Reality Glasses for Autism: A Single Case Study. Journal of Social Sciences Research, 54–71.
Chaidi, I., & Drigas, A. (2020). Parents' Involvement in the Education of their Children with Autism: Related Research and its Results. International Journal Of Emerging Technologies In Learning (Ijet), 15(14), 194-203. DOI: https://doi.org/10.3991/ijet.v15i14.12509
Chaidi, E., Kefalis, C., Papagerasimou, Y., Drigas, A. (2021). Educational robotics in Primary Education. A case in Greece. Research, Society and Development, 10(9), e17110916371. DOI: https://doi.org/10.33448/rsd-v10i9.16371
Chaidi I, Drigas. A., Karagiannidis, C. (2021). ICT in special education Technium Soc. Sci. J. 23, 187 DOI: https://doi.org/10.47577/tssj.v23i1.4277
Chaidi, I., Drigas, A. (2022). "Parents' views Questionnaire for the education of emotions in Autism Spectrum Disorder" in a Greek context and the role of ICTs. Technium Social Sciences Journal 33, 73-91 DOI: https://doi.org/10.47577/tssj.v33i1.6878
Chaidi, I., & Drigas, A. (2022). Digital games & special education. Technium Soc. Sci. J., 34, 214. DOI: https://doi.org/10.47577/tssj.v34i1.7054
Chiu, H. T., Ip, I. N., Ching, F. N., Wong, B. P., Lui, W., Tse, C., & Wong, S. W. H. (2023). Resting Heart Rate Variability and Emotion Dysregulation in Adolescents with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-022-05847-x DOI: https://doi.org/10.1007/s10803-022-05847-x
Coskun, B., Uluer, P., Toprak, E., Barkana, D. E., Kose, H., Zorcec, T., Robins, B., & Landowska, A. (2022). Stress Detection of Children with Autism using Physiological Signals in Kaspar Robot-Based Intervention Studies. In: 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob). https://doi.org/10.1109/biorob52689.2022.9925485 DOI: https://doi.org/10.1109/BioRob52689.2022.9925485
Dautenhahn, K., Nehaniv, C. L., Walters, M. L., Robins, B., Kose-Bagci, H., Mirza, N. A., Blow, M. (2009). KASPAR-a minimally expressive humanoid robot for human-robot interaction research. Appl Bionics Biomech, 6(3–4), 369. DOI: https://doi.org/10.1080/11762320903123567
Demertzi, E., Voukelatos, N., Papagerasimou, Y., Drigas, A. (2018). Online learning facilities to support coding and robotics courses for youth. International Journal of Engineering Pedagogy (iJEP), 8(3), 69-80. DOI: https://doi.org/10.3991/ijep.v8i3.8044
Doulou, A., & Drigas, A. (2022). Electronic, VR & Augmented Reality Games for Intervention in ADHD. Technium Soc. Sci. J., 28, 159. DOI: https://doi.org/10.47577/tssj.v28i1.5728
Drigas, A. S., & Kouremenos, D. (2005). An e-learning management system for the deaf people. WSEAS Transactions on Advances in Engineering Education, 1(2), 20-24.
Drigas, A., Vrettaros, J., Tagoulis, A., Kouremenos, D. (2010). Teaching a foreign language to deaf people via vodcasting & web 2.0 tools. World Summit on Knowledge Society, 514-521. DOI: https://doi.org/10.1007/978-3-642-16324-1_60
Drigas, A. & Ioannidou, R. E. (2013). Special education and ICT's. International Journal of Emerging Technologies in Learning, 8(2), 41– 47. DOI: https://doi.org/10.3991/ijet.v8i2.2514
Drigas, A., Karyotaki, M. (2014). Learning Tools and Application for Cognitive Improvement. International Journal of Engineering Pedagogy, 4(3), 71-77. DOI: https://doi.org/10.3991/ijep.v4i3.3665
Drigas, A., Petrova, A. (2014). ICTs in speech and language therapy. International Journal of Engineering Pedagogy (iJEP). 4(1), 49-54. DOI: https://doi.org/10.3991/ijep.v4i1.3280
Drigas, A., Karyotaki, M., Skianis, C. (2017). Success: A 9 layered-based model of giftedness. International Journal of Recent Contributions from Engineering, Science & IT, 5(4), 4-18. DOI: https://doi.org/10.3991/ijes.v5i4.7725
Drigas, A. S., Pappas M. (2017). The Consciousness-Intelligence-Knowledge Pyramid: An 8x8 Layer Model. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 5(3), 14-25. https://doi.org/10.3991/ijes.v5i3.7680 DOI: https://doi.org/10.3991/ijes.v5i3.7680
Drigas, A., Karyotaki, M. (2019). Attention and its Role: Theories and Models. International Journal of Emerging Technologies in Learning, 14(12), 169-182. DOI: https://doi.org/10.3991/ijet.v14i12.10185
Drigas, A., Karyotaki, M. (2019). Executive Functioning and Problem Solving: A Bidirectional Relation. International Journal of Engineering Pedagogy (iJEP), 9(3). DOI: https://doi.org/10.3991/ijep.v9i3.10186
Drigas, A., & Politi-Georgousi, S. (2019). Icts as a distinct detection approach for dyslexia screening: A contemporary view. International Journal of Online and Biomedical Engineering (iJOE), 15(13):46–60. DOI: https://doi.org/10.3991/ijoe.v15i13.11011
Drigas, A., Mitsea, E. (2020). A Metacognition Based 8 Pillars Mindfulness Model and Training Strategies. Int. J. Recent Contributions Eng. Sci. IT, 8(4), 4-17. DOI: https://doi.org/10.3991/ijes.v8i4.17419
Drigas, A., Dede, D. E., Dedes, S. (2020). Mobile and other applications for mental imagery to improve learning disabilities and mental health. International Journal of Computer Science Issues (IJCSI), 17(4), 18-23
Drigas, A., Papoutsi, C. (2021). Nine Layer Pyramid Model Questionnaire for Emotional Intelligence, International Journal of Online & Biomedical Engineering, 17(7). DOI: https://doi.org/10.3991/ijoe.v17i07.22765
Drigas, A., Papoutsi, C., Skianis C. (2021), Metacognitive and Metaemotional Training Strategies through the Nine-layer Pyramid Model of Emotional Intelligence. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 9(4), 58-76. DOI: https://doi.org/10.3991/ijes.v9i4.26189
Drigas, A., Sideraki, A. (2021). Emotional Intelligence in Autism. Technium Soc. Sci. J., 26, 80. DOI: https://doi.org/10.47577/tssj.v26i1.5178
Drigas, A., & Bakola, L. N. (2021). The 8x8 Layer Model Consciousness-Intelligence-Knowledge Pyramid, and the Platonic Perspectives. Int. J. Recent Contributions Eng. Sci. IT, 9(2), 57-72. DOI: https://doi.org/10.3991/ijes.v9i2.22497
Drigas, A., & Mitsea, E. (2021). Metacognition, Stress – Relaxation Balance & Related Hormones. International Journal of Recent Contributions From Engineering, Science & IT, 9(1), 4. https://doi.org/10.3991/ijes.v9i1.19623 DOI: https://doi.org/10.3991/ijes.v9i1.19623
Drigas, A., Mitsea, E. (2021). 8 Pillars X 8 Layers Model of Metacognition: Educational Strategies, Exercises &Trainings. International Journal of Online & Biomedical Engineering, 17(8). DOI: https://doi.org/10.3991/ijoe.v17i08.23563
Drigas, A., Mitsea, E., & Skianis, C. (2021). Neuro-Linguistic Programming, Positive Psychology & VR in Special Education. Scientific Electronic Archives, 15(1). https://doi.org/10.36560/15120221497 DOI: https://doi.org/10.36560/15120221497
Drigas, A., Mitsea, E. (2021). Neuro-Linguistic Programming & VR via the 8 Pillars of Metacognition X 8 Layers of Consciousness X 8 Intelligences. Technium Soc. Sci. J., 26, 159. DOI: https://doi.org/10.47577/tssj.v26i1.5273
Drigas, A., Mitsea, E., & Skianis, C. (2021). The Role of Clinical Hypnosis and VR in Special Education. International Journal of Recent Contributions from Engineering Science & IT (iJES), 9(4), 4-17. DOI: https://doi.org/10.3991/ijes.v9i4.26147
Drigas, A., Mitsea, E., Skianis, C. (2022) Subliminal Training Techniques for Cognitive, Emotional and Behavioural Balance. The role of Εmerging Technologies. Technium Social Sciences Journal, 33, 164-186 DOI: https://doi.org/10.47577/tssj.v33i1.6881
Drigas, A., Mitsea, E., Skianis, C. (2022). Virtual Reality and Metacognition Training Techniques for Learning Disabilities. SUSTAINABILITY, 14(16), 10170. DOI: https://doi.org/10.3390/su141610170
Drigas, A., & Mitsea, E. (2022). Breathing: a Powerfull Tool for Physical & Neuropsychological Regulation. The role of Mobile Apps. Technium Soc. Sci. J., 28, 135.
Drigas, A., Mitsea, E., & Skianis, C. (2022). Clinical Hypnosis & VR, Subconscious Restructuring-Brain Rewiring & the Entanglement with the 8 Pillars of Metacognition X 8 Layers of Consciousness X 8 Intelligences. International Journal of Online & Biomedical Engineering, 18(1). DOI: https://doi.org/10.3991/ijoe.v18i01.26859
Drigas, A., Mitsea, E. (2022). Conscious Breathing: a Powerful Tool for Physical & Neuropsychological Regulation. The role of Mobile Apps. Technium Social Sciences Journal, 28, 135-158. DOI: https://doi.org/10.47577/tssj.v28i1.5922
Eron, K., Kohnert, L., Watters, A., Logan, C., Weisner-Rose, M., & Mehler, P. S. (2020). Weighted Blanket Use: A Systematic Review. American Journal of Occupational Therapy, 74(2), 7402205010p1-7402205010p14. https://doi.org/10.5014/ajot.2020.037358 DOI: https://doi.org/10.5014/ajot.2020.037358
Fernández-Andrés, M. I., Pastor-Cerezuela, G., Sanz-Cervera, P., & Tárraga-Mínguez, R. (2015). A comparative study of sensory processing in children with and without Autism Spectrum Disorder in the home and classroom environments. Research in Developmental Disabilities, 38, 202–212. https://doi.org/10.1016/j.ridd.2014.12.034 DOI: https://doi.org/10.1016/j.ridd.2014.12.034
Fóthi, Á., Soorya, L., & Lőrincz, A. (2020). The Autism Palette: Combinations of Impairments Explain the Heterogeneity in ASD. Frontiers in Psychiatry, 11. https://doi.org/10.3389/fpsyt.2020.503462 DOI: https://doi.org/10.3389/fpsyt.2020.503462
Galitskaya, V., & Drigas, A. (2021). The importance of working memory in children with Dyscalculia and Ageometria. Scientific Electronic Archives, 14(10). DOI: https://doi.org/10.36560/141020211449
Guemghar, I., De Oliveira Padilha, P. P., Abdel-Baki, A., Jutras-Aswad, D., Paquette, J., & Pomey, M. (2022). Social Robot Interventions in Mental Health Care and Their Outcomes, Barriers, and Facilitators: Scoping Review. JMIR Mental Health, 9(4), e36094. https://doi.org/10.2196/36094 DOI: https://doi.org/10.2196/36094
Hirano, S.H., Yeganyan, M.T., Marcu, G., Nguyen, D.H., Boyd, L.E., & Hayes, G.R. (2010). vSked: evaluation of a system to support classroom activities for children with autism. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. DOI: https://doi.org/10.1145/1753326.1753569
Hodges, H., Fealko, C., & Soares, N. (2020). Autism spectrum disorder: definition, epidemiology, causes, and clinical evaluation. J Clin Med, 9(S1), S55–S65. https://doi.org/10.21037/tp.2019.09.09 DOI: https://doi.org/10.21037/tp.2019.09.09
Hollocks, M. J., Howlin, P., Papadopoulos, A., Khondoker, M., & Simonoff, E. (2014). Differences in HPA-axis and heart rate responsiveness to psychosocial stress in children with autism spectrum disorders with and without co-morbid anxiety. Psychoneuroendocrinology, 46, 32–45. https://doi.org/10.1016/j.psyneuen.2014.04.004 DOI: https://doi.org/10.1016/j.psyneuen.2014.04.004
Hollocks, M. J., Lerh, J. W., Magiati, I., Meiser-Stedman, R., & Brugha, T. S. (2019). Anxiety and depression in adults with autism spectrum disorder: a systematic review and meta-analysis. Psychological Medicine, 49(4), 559–572. https://doi.org/10.1017/s0033291718002283 DOI: https://doi.org/10.1017/S0033291718002283
Hostinar, C. E., Johnson, A. K., & Gunnar, M. R. (2015). Parent support is less effective in buffering cortisol stress reactivity for adolescents compared to children. Developmental Science, 18(2), 281–297. https://doi.org/10.1111/desc.12195 DOI: https://doi.org/10.1111/desc.12195
Huijnen, C. a. G. J., Verreussel-Willen, H. a. M. D., Lexis, M. a. S., & De Witte, L. P. (2021). Robot KASPAR as Mediator in Making Contact with Children with Autism: A Pilot Study. International Journal of Social Robotics, 13(2), 237–249. https://doi.org/10.1007/s12369-020-00633-0 DOI: https://doi.org/10.1007/s12369-020-00633-0
Ikuta, N., Iwanaga, R., Tokunaga, A., Nakane, H., Tanaka, K., & Tanaka, G. (2016). Effectiveness of Earmuffs and Noise-cancelling Headphones for Coping with Hyper-reactivity to Auditory Stimuli in Children with Autism Spectrum Disorder: A Preliminary Study. Hong Kong Journal of Occupational Therapy, 28(1), 24–32. https://doi.org/10.1016/j.hkjot.2016.09.001 DOI: https://doi.org/10.1016/j.hkjot.2016.09.001
Johnston, D., Egermann, H., & Kearney, G. (2020). SoundFields: A Virtual Reality Game Designed to Address Auditory Hypersensitivity in Individuals with Autism Spectrum Disorder. Applied Sciences, 10(9), 2996. https://doi.org/10.3390/app10092996 DOI: https://doi.org/10.3390/app10092996
Kapsi, S., Katsantoni, S., & Drigas, A. (2020). The Role of Sleep and Impact on Brain and Learning. Int. J. Recent Contributions Eng. Sci. IT, 8(3), 59-68. DOI: https://doi.org/10.3991/ijes.v8i3.17099
Karyotaki, M., Drigas, A. (2016). Online and Other ICT-based Training Tools for Problem-solving Skills. International Journal of Emerging Technologies in Learning. 11(6). DOI: https://doi.org/10.3991/ijet.v11i06.5340
Karyotaki, M., Bakola, L., Drigas, A., & Skianis, C. (2022). Women's Leadership via Digital Technology and Entrepreneurship in business and society. Technium Soc. Sci. J., 28, 246. DOI: https://doi.org/10.47577/tssj.v28i1.5907
Kefalis, C., Kontostavlou, E. Z., Drigas, A. (2020). The Effects of Video Games in Memory and Attention. Int. J. Eng. Pedagog., 10 (1), 51-61. DOI: https://doi.org/10.3991/ijep.v10i1.11290
Keshav, N. U., Vahabzadeh, A., Abdus-Sabur, R., Huey, K., Salisbury, J., Liu, R., & Sahin, N. T. (2018). Longitudinal Socio-Emotional Learning Intervention for Autism via Smartglasses: Qualitative School Teacher Descriptions of Practicality, Usability, and Efficacy in General and Special Education Classroom Settings. Education Sciences, 8(3), 107. https://doi.org/10.3390/educsci8030107 DOI: https://doi.org/10.3390/educsci8030107
Knight, V., Sartini, E. C., & Spriggs, A. D. (2015). Evaluating Visual Activity Schedules as Evidence-Based Practice for Individuals with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 45(1), 157–178. https://doi.org/10.1007/s10803-014-2201-z DOI: https://doi.org/10.1007/s10803-014-2201-z
Kojovic, N., Hadid, L. B., Franchini, M., & Schaer, M. (2019). Sensory Processing Issues and Their Association with Social Difficulties in Children with Autism Spectrum Disorders. Journal of Clinical Medicine, 8(10), 1508. https://doi.org/10.3390/jcm8101508 DOI: https://doi.org/10.3390/jcm8101508
Kokkalia, G., Drigas, A. S., & Economou, A. (2016). Mobile learning for preschool education. International Journal of Interactive Mobile Technologies, 10(4). DOI: https://doi.org/10.3991/ijim.v10i4.6021
Koo, S., Gaul, K., Rivera, S. M., Pan, T., & Fong, D. D. (2018). Wearable Technology Design for Autism Spectrum Disorders. Archives of Design Research, 31(1), 37–55. https://doi.org/10.15187/adr.2018.02.31.1.37 DOI: https://doi.org/10.15187/adr.2018.02.31.1.37
Koumpouros, Y., & Kafazis, T. (2019). Wearables and mobile technologies in Autism Spectrum Disorder interventions: A systematic literature review. Research in Autism Spectrum Disorders, 66, 101405. https://doi.org/10.1016/j.rasd.2019.05.005 DOI: https://doi.org/10.1016/j.rasd.2019.05.005
Krägeloh, C. U., Huang, L., Elara, M. R., Al-Jumaily, A. M., & Krägeloh, C. U. (2017). Robot-Assisted Therapy for Learning and Social Interaction of Children with Autism Spectrum Disorder. Robotics, 6(1), 4. https://doi.org/10.3390/robotics6010004 DOI: https://doi.org/10.3390/robotics6010004
Kushki, A., Drumm, E., Mobarak, M. P., Tanel, N., Dupuis, A., Chau, T., & Anagnostou, E. (2013). Investigating the Autonomic Nervous System Response to Anxiety in Children with Autism Spectrum Disorders. PLOS ONE, 8(4), e59730. https://doi.org/10.1371/journal.pone.0059730 DOI: https://doi.org/10.1371/journal.pone.0059730
Law, M., Jarrett, P., Simpson, M. C., Holtkamp, H. U., Giglio, C., & Broadbent, E. (2022). The Effects of Interacting With a Paro Robot After a Stressor in Patients With Psoriasis: A Randomised Pilot Study. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.871295 DOI: https://doi.org/10.3389/fpsyg.2022.871295
Lord, C., Brugha, T. S., Charman, T., Cusack, J. C., Dumas, G., Frazier, T. W., Jones, E., Jones, R., Pickles, A., State, M. W., Taylor, J., & Veenstra-VanderWeele, J. (2020). Autism spectrum disorder. Nature Reviews Disease Primers, 6(1). https://doi.org/10.1038/s41572-019-0138-4 DOI: https://doi.org/10.1038/s41572-019-0138-4
Lytra, N., & Drigas, A. (2021). STEAM education-metacognition–Specific Learning Disabilities. Scientific Electronic Archives, 14(10). DOI: https://doi.org/10.36560/141020211442
Macdonald, L., Trembath, D., Ashburner, J., Costley, D., & Keen, D. (2018). The use of visual schedules and work systems to increase the on-task behaviour of students on the autism spectrum in mainstream classrooms. Journal of Research in Special Educational Needs, 18(4), 254–266. https://doi.org/10.1111/1471-3802.12409 DOI: https://doi.org/10.1111/1471-3802.12409
Mah, J. W. T., & Tsang, P. (2016). Visual Schedule System in Dental Care for Patients with Autism: A Pilot Study. Journal of Clinical Pediatric Dentistry, 40(5), 393–399. https://doi.org/10.17796/1053-4628-40.5.393 DOI: https://doi.org/10.17796/1053-4628-40.5.393
Makris, G., Eleftheriades, A., & Pervanidou, P. (2022). Early Life Stress, Hormones, and Neurodevelopmental Disorders. Hormone Research in Paediatrics, 1–8. https://doi.org/10.1159/000523942
Makris, G., Eleftheriades, A., & Pervanidou, P. (2022). Early Life Stress, Hormones, and Neurodevelopmental Disorders. Hormone Research in Paediatrics, 1–8. https://doi.org/10.1159/000523942 DOI: https://doi.org/10.1159/000523942
Maskey, M., Lowry, J. L., Rodgers, J., McConachie, H., & Parr, J. R. (2014). Reducing Specific Phobia/Fear in Young People with Autism Spectrum Disorders (ASDs) through a Virtual Reality Environment Intervention. PLOS ONE, 9(7), e100374. https://doi.org/10.1371/journal.pone.0100374 DOI: https://doi.org/10.1371/journal.pone.0100374
Mazefsky, C. A., Borue, X., Day, T. N., & Minshew, N. J. (2014). Emotion Regulation Patterns in Adolescents With High-Functioning Autism Spectrum Disorder: Comparison to Typically Developing Adolescents and Association With Psychiatric Symptoms. Autism Research, 7(3), 344–354. https://doi.org/10.1002/aur.1366 DOI: https://doi.org/10.1002/aur.1366
McEwen, B. S. (2017). Neurobiological and Systemic Effects of Chronic Stress. Chronic Stress (Thousand Oaks), 1, 247054701769232. https://doi.org/10.1177/2470547017692328 DOI: https://doi.org/10.1177/2470547017692328
Milstein, N., & Gordon, I. (2020). Validating Measures of Electrodermal Activity and Heart Rate Variability Derived From the Empatica E4 Utilized in Research Settings That Involve Interactive Dyadic States. Frontiers in Behavioral Neuroscience, 14. https://doi.org/10.3389/fnbeh.2020.00148 DOI: https://doi.org/10.3389/fnbeh.2020.00148
Mitsea, E., Lytra, N., Akrivopoulou, A., & Drigas, A. (2020). Metacognition, Mindfulness and Robots for Autism Inclusion. Int. J. Recent Contributions Eng. Sci. IT, 8(2), 4-20. DOI: https://doi.org/10.3991/ijes.v8i2.14213
Mitsea, E., Drigas, A., Skianis, C. (2022). ICTs and Speed Learning in Special Education: High-Consciousness Training Strategies for High-Capacity Learners through Metacognition Lens Technium Soc. Sci. J., 27, 230. DOI: https://doi.org/10.47577/tssj.v27i1.5599
Mitsea, E., Drigas, A., Skianis C. (2022). Breathing, Attention & Consciousness in Sync: The role of Breathing Training, Metacognition & Virtual Reality. Technium Social Sciences Journal 29, 79-97 DOI: https://doi.org/10.47577/tssj.v29i1.6145
Nakadoi, Y. (2015). Usefulness of Animal Type Robot Assisted Therapy for Autism Spectrum Disorder in the Child and Adolescent Psychiatric Ward. In Lecture Notes in Computer Science. Springer Science+Business Media, 478–482. https://doi.org/10.1007/978-3-319-50953-2_35 DOI: https://doi.org/10.1007/978-3-319-50953-2_35
Ntaountaki P, et all 2019 Robotics in Autism Intervention. Int. J. Recent Contributions Eng. Sci. IT, 7 (4), 4-17 DOI: https://doi.org/10.3991/ijes.v7i4.11448
Olson, L., & Moulton, H. J. (2004). Use of Weighted Vests in Pediatric Occupational Therapy Practice. Physical & Occupational Therapy in Pediatrics, 24(3), 45–60. https://doi.org/10.1300/j006v24n03_04 DOI: https://doi.org/10.1300/J006v24n03_04
Papoutsi, C., Drigas, A., Skianis, C. (2021). Virtual and augmented reality for developing emotional intelligence skills. Int. J. Recent Contrib. Eng. Sci. IT (IJES), 9(3), 35-53 DOI: https://doi.org/10.3991/ijes.v9i3.23939
Pappas, M & Drigas, A. (2015). ICT based screening tools and etiology of dyscalculia. International Journal of Engineering Pedagogy, 3, 61-66. DOI: https://doi.org/10.3991/ijep.v5i3.4735
Pergantis, P., & Drigas, A. (2023). Developmental coordination disorder (DCD) and the role of ICTS and neurofeedback (NF) for training and intervention. Journal Health and Technology - JHT, 2(2), e2238. https://doi.org/10.47820/jht.v2i2.38 DOI: https://doi.org/10.47820/jht.v2i2.38
Pfeiffer, B., Duker, L. I. S., Murphy, A., & Shui, C. (2019). Effectiveness of Noise-Attenuating Headphones on Physiological Responses for Children With Autism Spectrum Disorders. Frontiers in Integrative Neuroscience, 13. https://doi.org/10.3389/fnint.2019.00065 DOI: https://doi.org/10.3389/fnint.2019.00065
Rasouli, S., Gupta, G., Nilsen, E., & Dautenhahn, K. (2022). Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety. International Journal of Social Robotics, 14(5), 1–32. https://doi.org/10.1007/s12369-021-00851-0 DOI: https://doi.org/10.1007/s12369-021-00851-0
Rodgers, J., Wigham, S., McConachie, H., Freeston, M. H., Honey, E., & Parr, J. R. (2016). Development of the anxiety scale for children with autism spectrum disorder (ASC-ASD). Autism Research, 9(11), 1205–1215. https://doi.org/10.1002/aur.1603 DOI: https://doi.org/10.1002/aur.1603
Schoen, S. A. (2009). Physiological and behavioral differences in sensory processing: a comparison of children with Autism Spectrum Disorder and Sensory Processing Disorder. Frontiers in Integrative Neuroscience, 3. https://doi.org/10.3389/neuro.07.029.2009 DOI: https://doi.org/10.3389/neuro.07.029.2009
Sideraki, A., & Stathopoulou, A. (2023). Digital Technologies and Virtual reality (VR) as therapeutic intervention for stress reduction in ASD. Eximia, 6(1), 61–78. https://www.eximiajournal.com/index.php/eximia/article/view/220
Spratt, E. G., Nicholas, J. S., Brady, K. T., Carpenter, L. A., Hatcher, C. R., Meekins, K. A., Furlanetto, R. W., & Charles, J. M. (2012). Enhanced Cortisol Response to Stress in Children in Autism. Journal of Autism and Developmental Disorders, 42(1), 75–81. https://doi.org/10.1007/s10803-011-1214-0 DOI: https://doi.org/10.1007/s10803-011-1214-0
Stathopoulou, A., Karabatzaki, Z., Kokkalia, G., Dimitriou, E., Loukeri, P. I., Economou, A., & Drigas, A. (2018). Mobile Assessment Procedures for Mental Health and Literacy Skills in Education. International Journal of Interactive Mobile Technologies, 12(3). 21-37, DOI: https://doi.org/10.3991/ijim.v12i3.8038
Stathopoulou, A., Karabatzaki, Z., Tsiros, D., Katsantoni, S., & Drigas, A. (2019). Mobile apps the educational solution for autistic students in secondary education. International Journal of Interactive Mobile Technologies, 13(2), 89-101. DOI: https://doi.org/10.3991/ijim.v13i02.9896
Stavridis S., Papageorgiou, D., Doulgeri, Z. (2017). Dynamical system based robotic motion generation with obstacle avoidance, IEEE Robotics and Automation Letters, 2(2), 712-718. DOI: https://doi.org/10.1109/LRA.2017.2651172
Stavridis, S., Falco, P., Doulgeri, Z. (2020). Pick-and-place in dynamic environments with a mobile dual-arm robot equipped with distributed distance sensors. In: IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids).
Stavridis, S., Doulgeri, Z. (2018). Bimanual assembly of two parts with relative motion generation and task related optimization. In:IEEE/RSJ International Conference on Intelligent Robots and Systems. DOI: https://doi.org/10.1109/IROS.2018.8593928
Stavridis, S., Papageorgiou, D., Droukas, L., Doulgeri, Z. (2022). Bimanual crop manipulation for human-inspired robotic harvesting arXiv preprint arXiv:2209.06074
Suresh, L.R., & George, C.A. (2019). Virtual Reality Distraction on Dental Anxiety and Behavior in Children with Autism Spectrum Disorder. Journal of International Dental and Medical Research, 12(3), 1004-1010.
Taj-Eldin, M., Ryan, C., O’Flynn, B., & Galvin, P. (2018). A Review of Wearable Solutions for Physiological and Emotional Monitoring for Use by People with Autism Spectrum Disorder and Their Caregivers. Sensors, 18(12), 4271. https://doi.org/10.3390/s18124271 DOI: https://doi.org/10.3390/s18124271
Takır, Ş., Kose, H., Coskun, B., & Barkana, D. E. (2022). RPPG Detection in Children with Autism Spectrum Disorder during Robot-Child . Interaction Studies. https://doi.org/10.1109/dicta56598.2022.10034613 DOI: https://doi.org/10.1109/DICTA56598.2022.10034613
Thomaidis, L., Mavroeidi, N., Richardson, C., Choleva, A., Damianos, G., Bolias, K., & Tsolia, M. (2020). Autism Spectrum Disorders in Greece: Nationwide Prevalence in 10–11 Year-Old Children and Regional Disparities. Journal of Clinical Medicine, 9(7), 2163. https://doi.org/10.3390/jcm9072163 DOI: https://doi.org/10.3390/jcm9072163
Van Der Linden, K., Simons, C. J. P., Van Amelsvoort, T., & Marcelis, M. (2022). Emotional stress, cortisol response, and cortisol rhythm in autism spectrum disorders: A systematic review. Research in Autism Spectrum Disorders, 98, 102039. https://doi.org/10.1016/j.rasd.2022.102039 DOI: https://doi.org/10.1016/j.rasd.2022.102039
Vilela, J. E. R., Martiniano, H., Marques, A. C., Santos, J. A. C., Rasga, C., Oliveira, G. C., & Vicente, A. A. (2022). Disease similarity network analysis of Autism Spectrum Disorder and comorbid brain disorders. Frontiers in Molecular Neuroscience, 15. https://doi.org/10.3389/fnmol.2022.932305 DOI: https://doi.org/10.3389/fnmol.2022.932305
Vlachou J., Drigas, A. S. (2017) Mobile technology for students and adults with Autistic Spectrum Disorders (ASD). International Journal of Interactive Mobile Technologies, 11(1), 4-17. DOI: https://doi.org/10.3991/ijim.v11i1.5922
Zwilling, M., Romano, A., Hoffman, H., Lotan, M., & Tesler, R. (2022). Development and validation of a system for the prediction of challenging behaviors of people with autism spectrum disorder based on a smart wearable shirt: A mixed-methods design. Frontiers in Behavioral Neuroscience, 16. https://doi.org/10.3389/fnbeh.2022.948184 DOI: https://doi.org/10.3389/fnbeh.2022.948184
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Pantelis Pergantis, Athanasios Drigas
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.