@conference{Hashim2017316,
title = {A Review of the Ambit of Politics in Social Robotics},
author = {R Hashim and H Yussof},
editor = {Yussof H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016116583&doi=10.1016%2fj.procs.2017.01.228&partnerID=40&md5=d87a64238e7afb117359db4af16a4b52},
doi = {10.1016/j.procs.2017.01.228},
issn = {18770509},
year = {2017},
date = {2017-01-01},
journal = {Procedia Computer Science},
volume = {105},
pages = {316-321},
publisher = {Elsevier B.V.},
abstract = {This article reviews the range of currently held positions on the politics of social robotics for skill augmentation of children with autism and other brain disabilities. Publications from peer-reviewed journals and conference proceedings were analyzed. From these articles categorizations were accorded into three emerging themes on the politics of social robotics which are, influence, acceptance and adoption. The findings indicated that the social skilling of brain-impaired children are implicated but not present in the development and design process of the robots. Instead, the human social skills were assigned to the capability and general features of the robots. The need for social robots is in tandem with societal changes and the increased demographics as well as demands from the healthcare industry. The conceptualization of brain-impaired children is plagued with stereotypical views that they are both mentally and physically handicapped, helpless, require round-the-clock care and in need of robotic assistance when humans fail. Depending on the nation status, the influence, acceptance and adoption of social robotics are indeed political and the success of science for society needs has to be re-examined and perhaps redefined in order to reap the return on investment of the robot production. © 2017 The Authors.},
note = {cited By 3},
keywords = {Acceptance, Autism, Children, Diseases, Economic and Social Effects, Education, Influence, Intelligent Control, Machine Design, Politics, Robotics, Robots, Smart Sensors, Social Robotics, Social Sciences},
pubstate = {published},
tppubtype = {conference}
}

@conference{Miskam2016,
title = {A questionnaire-based survey: Therapist's response on emotions gestures using humanoid robot for autism},
author = {M A Miskam and S Shamsuddin and H Yussof and I M Ariffin and A R Omar},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966605834&doi=10.1109%2fMHS.2015.7438298&partnerID=40&md5=c0cbd143f24183861955c67562e36fdf},
doi = {10.1109/MHS.2015.7438298},
isbn = {9781479966783},
year = {2016},
date = {2016-01-01},
journal = {2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This paper is, we used a humanoid robot to physically show emotional poses and conduct a simple guessing game with children. Nine different emotions using the robot's body poses have been developed using Choregraphe. Naturally, we need to approximate as closely as possible natural human behaviour to be done by robot to engaging the children to interact with normal human. Therefore, this study is continuation of our previous study on emotion gestures where we get the therapists response towards module of emotions-based teaching module for children with autism. The role of therapists is to give their main knowledge of autism therapy to bring the right creation of module program using robot. © 2015 IEEE.},
note = {cited By 1},
keywords = {Anthropomorphic Robots, Autism, Autism Therapies, Behavioral Research, Children with Autism, Cognitive Interaction, Diseases, Education, Emotion, Emotion Gestures, Human Behaviours, Humanoid Robot, Humanoid Robot NAO, Robotics, Robots, Social Sciences, Surveys, Teaching, Teaching Module},
pubstate = {published},
tppubtype = {conference}
}

@conference{Rusli2016226,
title = {Non-invasive assessment of affective states on individual with autism spectrum disorder: A review},
author = {N B Rusli and S N Sidek and H Md Yusof and M H Abd Latif},
editor = {Ahmad Usman M Y J Ibrahim F. Mohktar M.S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952767451&doi=10.1007%2f978-981-10-0266-3_47&partnerID=40&md5=f4aafb2216ef5c9d03ae7a1db352e4bd},
doi = {10.1007/978-981-10-0266-3_47},
issn = {16800737},
year = {2016},
date = {2016-01-01},
journal = {IFMBE Proceedings},
volume = {56},
pages = {226-230},
publisher = {Springer Verlag},
abstract = {Individuals with Autism Spectrum Disorder (ASD) are identified as a group of people who have social interaction and communication impairment. They have difficulty in producing speech and explaining what they meant. They also suffer from emotional or cognitive states requirement that stance challenges to their interest in communicating and socializing. Hence, it is vital to know their emotion to help them develop better skills in social interaction. Emotion can be derived from affective states and can be detected through physical reaction and physiological signals. There are numerous known modalities available to detect the affective states either through invasive and non-invasive methods. In order to evaluate the affective states of individuals with ASD, amongst the methods used are through electrodermal activity (EDA), electromyographic (EMG) activity, and cardiovascular activity (ECG) and blood flow analyses. Though considered non invasive, these methods require sensor to be patched on to the skin causing discomfort to the subjects and might distract their true emotion. We propose non-invasive methods which is also contactless to address the problem to detect emotion of individual with ASD that is through thermal imaging. Through the impact of cutaneous temperature in blood flow, thermal imprint is radiated and can be detected in this method. To date, no research has been reported of the use of thermal imaging analysis of facial skin temperature on the individuals with ASD. In this paper we will justify the method and also discuss the merits and demerits of other methods. © International Federation for Medical and Biological Engineering 2016.},
note = {cited By 1},
keywords = {Affective State, Autism, Biomedical Engineering, Blood, Diseases, Emotion, Facial Expression, Hemodynamics, Infrared Imaging, Noninvasive Medical Procedures, Physiological Signals, Physiology, Signal Detection, Skin, Social Sciences},
pubstate = {published},
tppubtype = {conference}
}

@conference{Azahari2016547,
title = {The design of mobile social application for children with autism},
author = {I N N A Azahari and W F W Ahmad and Z Jamaludin and A S Hashim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010289959&doi=10.1109%2fICCOINS.2016.7783274&partnerID=40&md5=01592bfdb74208829ff0599447ad9e42},
doi = {10.1109/ICCOINS.2016.7783274},
isbn = {9781509051342},
year = {2016},
date = {2016-01-01},
journal = {2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings},
pages = {547-552},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Autism is a neural syndrome that complicates the growth of mind, producing challenging result in communicating, social interaction, and impairment in behaviour. Since there is no cure for autism, prompt interventions and effective educational exercises allow children to achieve massive improvement. During the teaching and learning process, children with autism require particular consideration and attention. Thus, with the implementation of information technology in special education, the teaching and learning process could to become more efficient. Struggle in social interaction skill is known as one of the main drawback encountered by children with autism. Therefore, a mobile social application is proposed to help the children to develop social interaction skills. Nonetheless, this paper only deliberates on the design phase mobile application development. It is developed for children with medium functioning Autism Spectrum Disorder (ASD) who are learning basic interaction skills. The application's design phase implements the results from the analysis phase, which has concluded earlier. Five evaluators were involved in the heuristic evaluation, in order to enhance the user interface of the mobile social application. The outcomes from the evaluation conclude that all evaluators has agreed with all heuristics. Not to mention, beneficial recommendations were also achieved from the evaluation. The future work of this paper will be the development phase of the mobile social application. © 2016 IEEE.},
note = {cited By 3},
keywords = {Autism Spectrum Disorders, Children with Autism, Diseases, Education, Emotion, Heuristic Evaluation, Information Science, Interaction Skills, Learning, Mobile Applications, Mobile Computing, Social Aspect, Social Networking, Social Sciences, Social Skills, Teaching, User Interfaces},
pubstate = {published},
tppubtype = {conference}
}