Data-Driven Synthesis and Evaluation of Syntactic Facial Expressions in American Sign Language Animation

Technology to automatically synthesize linguistically accurate and natural-looking animations of American Sign Language (ASL) would make it easier to add ASL content to websites and media, thereby increasing information accessibility for many people who are deaf and have low English literacy skills. State-of-art sign language animation tools focus mostly on accuracy of manual signs rather than on the facial expressions. We are investigating the synthesis of syntactic ASL facial expressions, which are grammatically required and essential to the meaning of sentences. In this thesis, we propose to: (1) explore the methodological aspects of evaluating sign language animations with facial expressions, and (2) examine data-driven modeling of facial expressions from multiple recordings of ASL signers. In Part I of this thesis, we propose to conduct rigorous methodological research on how experiment design affects study outcomes when evaluating sign language animations with facial expressions. Our research questions involve: (i) stimuli design, (ii) effect of videos as upper baseline and for presenting comprehension questions, and (iii) eye-tracking as an alternative to recording question-responses from participants. In Part II of this thesis, we propose to use generative models to automatically uncover the underlying trace of ASL syntactic facial expressions from multiple recordings of ASL signers, and apply these facial expressions to manual signs in novel animated sentences. We hypothesize that an annotated sign language corpus, including both the manual and non-manual signs, can be used to model and generate linguistically meaningful facial expressions, if it is combined with facial feature extraction techniques, statistical machine learning, and an animation platform with detailed facial parameterization. To further improve sign language animation technology, we will assess the quality of the animation generated by our approach with ASL signers through the rigorous evaluation methodologies described in Part I

Using the Unified Theory of Acceptance and Use of Technology to Explain E-commerce Acceptance by Jordanian Travel Agencies

This study examines the possibility of adapting a technology acceptance model designed in the context of the developed world to a developing nation. Jordan will be used as a case study for this purpose because it experiences similar challenges and opportunities that other Arab countries encounter in their technology acceptance. Qualitative and quantitative techniques were used to collect data for this research. The results indicated that performance expectancy, effort expectancy, social influence, competitive pressure and facilitating conditions had a positive impact on intention to use e-commerce. In contrast, perceived risk, government support and compatibility had insignificant relationship with behavioral intention. Furthermore, the result pointed out that age and gender did not affect the relationship between performance expectancy, perceived risk and behavioral intention

Improving outcomes for young people with type 1 diabetes

Aims: The thesis aimed to contribute to the current understanding of how to improve comprehensive health outcomes for children and adolescents with type 1 diabetes. Methods: A systematic review was undertaken to identify existing interventions designed to improve health-related quality of life in a paediatric diabetes population. The quality of identified studies was assessed and the effectiveness of the interventions was evaluated. Parent-adolescent dyads were also recruited via paediatric diabetes teams to participate in an empirical study. Participants were asked to complete questionnaires measuring psychological flexibility, mindfulness, perception of parental care and control, adherence to treatment and quality of life. Relationships were explored using correlation and regression analysis. Results: Twenty seven articles were identified in the systematic review. More than half were rated as “acceptable” or “high quality”. Quality of life was a primary treatment target in only three studies. Eight studies reported significant beneficial effects on health-related quality of life. In the empirical study, regression analysis found that both parent and adolescent diabetes-specific psychological flexibility predicted treatment adherence while adolescent mindfulness and insulin administration predicted quality of life. Conclusion: There is some evidence for the effectiveness of intensive structured education and coping skills training in improving health-related quality. However consideration should be given to developing theoretically informed interventions to target quality of life alongside other treatment related outcomes. The empirical study suggested psychological flexibility and mindfulness are useful constructs for understanding health outcomes in adolescents with type 1 diabetes. Acceptance and commitment, and mindfulness-based therapies may prove beneficial for improving outcomes in this population