Expressive visual text-to-speech as an assistive technology for individuals with autism spectrum conditions.

Adults with Autism Spectrum Conditions (ASC) experience marked difficulties in recognising the emotions of others and responding appropriately. The clinical characteristics of ASC mean that face to face or group interventions may not be appropriate for this clinical group. This article explores the potential of a new interactive technology, converting text to emotionally expressive speech, to improve emotion processing ability and attention to faces in adults with ASC. We demonstrate a method for generating a near-videorealistic avatar (XpressiveTalk), which can produce a video of a face uttering inputted text, in a large variety of emotional tones. We then demonstrate that general population adults can correctly recognize the emotions portrayed by XpressiveTalk. Adults with ASC are significantly less accurate than controls, but still above chance levels for inferring emotions from XpressiveTalk. Both groups are significantly more accurate when inferring sad emotions from XpressiveTalk compared to the original actress, and rate these expressions as significantly more preferred and realistic. The potential applications for XpressiveTalk as an assistive technology for adults with ASC is discussed.This research was conducted during an international research internship towards an MSc (Res) degree at Maastricht University, funded by Erasmus. This research also received support from the Centre for Psychology, Behaviour and Achievement, Coventry University, UK; the Autism Research Trust; the Medical Research Council UK; and the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care East of England at Cambridgeshire and Peterborough NHS Foundation Trust

A brief review: assistive technology and autism, a proposal for virtual tools for improved communication and emotional recognition

Autism is a condition that affects over one percent of the population, and is a condition that has varying degrees of severity. There currently exist various therapies to help people with autism communicate effectively. As a result some researchers and schools have expanded this provision by creating virtual tools to assist the communication process and allow a greater level of independence and generalization. Therefore, this brief paper aims to present a review of literature surrounding assistive technology, augmentative and alternative communication and autism, and how these fields of knowledge can be better understood to help develop virtual tools – more specifically a virtual world

Establishing Content and Face Validity of an Assessment to Evaluate the Attitudes, Self-efficacy, and Knowledge of Pre-professional Students Related to Assistive Technology for Children with Autism Spectrum Disorder (asd)

OBJECTIVE. The purpose of the study was to create an online assessment in order to better understand the knowledge, attitudes, and self-efficacy that pre-professional students have in the fields of assistive technology and ASD and establish content and face validity for this assessment.METHOD. 12 content experts, both professors and practitioners, within the fields of occupational therapy, physical therapy, speech language pathology, and special education, as well as experts in autism spectrum disorder and assistive technology, participated in the content validation process. A total of 16 students within these disciplines completed the assessment with pilot data gathered and provided feedback on face validity. RESULTS. The content validity index (.939) of the final version of the assessment indicates strong content validity. Data gathered from the face validation portion of the study indicate that pre-professional students see value in participating in the assessment and would be open to completing it again. Reported pilot data suggest the majority of pre-professional students believe their profession plays a role in providing assistive technology services to children with ASD (81.25%). The majority of participants also have demonstrated knowledge in this area, with all participants selecting the correct response for 25% of the knowledge items. CONCLUSIONS. Results of this study support continued investigation regarding the potential use of this assessment as an outcome measure for pre-professional programs and/or federal training programs. The use of this assessment on a larger scale may guide content provided in coursework or continuing education opportunities, with the ultimate goal to increase the quality of service provision for children with ASD

Technology and Autism Spectrum Disorders

This meta-synthesis of empirical and non-empirical literature reviewed 43 journal articles that evaluated the availability and use of technology to educate and socialize learners with Autism Spectrum Disorder or Aspersers Disorder. Students with these disorders cannot be defined or categorized each individual is unique and elegant; challenging caregiver's and educator's creativity to teach and guide them toward a quality of life they would not find on their own. There are tools and research to support unique education on many levels of learning from academics to socialization. The literature indicates that while there is a wealth of technology available and new technology is constantly being developed cost can not only prohibit production it can lessen the quality. What gets into the classroom tool box is determined by the tenacity of the educator

Affective Medicine: a review of Affective Computing efforts in Medical Informatics

Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”. AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain. Objectives: 1) To review the general state of the art in AC and its applications in medicine, and 2) to establish synergies between the research communities of AC and medical informatics. Methods: Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples. Results: The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, AmI, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged. Conclusions: A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field

Increasing appropriate communication and reducing aggressive behaviors for students with Autism Spectrum Disorder by using an AAC device

The review examines the use of Alternative and Augmentative Communication with student who have Autism Spectrum Disorders, the use of an AAC device, and reducing aggressive behaviors as it relates to use of AAC. In Chapter I, an overview of Autism Spectrum Disorder, AAC, and SGD was discussed. In Chapter II discusses research addressing augmentative and alternative communication devices in reducing disruptive and aggressive behaviors for individuals with Autism Spectrum Disorder and implementing it with students that need to express wants and needs across different environments effectively. Chapter III, the findings from the analysis are summarized, and the implications of these findings will be discussed

Measures for Comparing an Augmentative and Alternative Communication Application for Use within a Kindergarten Curriculum

The purpose of this study was to measure the influence of augmentative and alternative communication (AAC) with symbol-supported communication applications (apps) on stimulating kindergarten students to increase expressive language in the general education setting in an elementary school located in Washington, DC. The study sample size was 31 students. The research aimed to identify these tools as an effective strategy to assist kindergarten students in using more verbal language, thereby lowering the risk of communication frustration and increasing the expression of learned knowledge. Language data usage was collected by viewing speech acts as operators in a planning system, then integrating speech acts into plans by comparing the independent variable of the use of the symbol-supported communication app to the dependent variables of knowledge of words and word combinations, knowledge of grammar, supralinguistics (inferencing), pragmatics, and practical use without exposure to the AAC device with a dynamic display and symbolic symbols. The Comprehensive Assessment of Spoken Language tool measured expressive language growth. A quantitative quasi-experimental, pretest-posttest, nonequivalent comparison group design and a multivariate analysis of covariance using the pretests as the covariates measured the outcome. There was a statistically significant difference in the growth of posttest scores in the areas of knowledge of words and word combinations and knowledge of grammar. However, the students’ performance in the areas of supralinguistics and pragmatics did not experience any measurable growth. Future research should continue to validate and build upon the results of this investigation

Manipulating Image Luminance to Improve Eye Gaze and Verbal Behavior in Autistic Children

Autism has been characterized by a tendency to attend to the local visual details over surveying an image to understand the gist–a phenomenon called local interference. This sensory processing trait has been found to negatively impact social communication. Although much work has been conducted to understand these traits, little to no work has been conducted to intervene to provide support for local interference. Additionally, recent understanding of autism now introduces the core role of sensory processing and its impact on social communication. However, no interventions to the end of our knowledge have been explored to leverage this relationship. This work builds on the connection between visual attention and semantic representation in autistic children. In this work, we ask the following research questions: RQ1: Does manipulating image characteristics of luminance and spatial frequency increase likelihood of fixations in hot spots (Areas of Interest) for autistic children? RQ2: Does manipulating low-level image characteristics of luminance and spatial frequency increase the likelihood of global verbal responses for autistic children? We sought to manipulate visual attention as measured by eye gaze fixations and semantic representation of verbal response to the question “What is this picture about?”. We explore digital strategies to offload low-level, sensory processing of global features via digital filtering. In this work, we designed a global filter to reduce image characteristics found to be distracting for autistic people and compared baseline images to featured images in 11 autistic children. Participants saw counterbalanced images way over 2 sessions. Eye gaze in areas of interest and verbal responses were collected and analyzed. We found that luminance in non-salient areas impacted both eye gaze and verbal responding–however in opposite ways (however versus high levels of luminance). Additionally, the interaction of luminance and spatial frequency in areas of interest is also significant. This is the first empirical study in designing an assistive technology aimed to augment global processing that occurs at a sensory-processing and social-communication level. Contributions of this work include empirical findings regarding the quantification of local interference in images of natural scenes for autistic children in real-world settings; digital methods to offload global visual processing to make this information more accessible via insight on the role of luminance and spatial frequency in visual perception of and semantic representation in images of natural scenes