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Titlebook: HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Heal; 24th International C Vincent G. Duffy

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Development of VR Exposure Therapy Support System for Social Anxiety Utilizing Anxiety Levels Estiman assessment experiment was conducted in a remote environment, simulating a job-hunting interview with the cooperation of the employment counselors. Although the number of participants was small, the proposed method showed the possibility of adjusting anxiety levels.
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Self-determined and Informed Use of Personal Health Records: Assessment of Attitudes and Learning Ree study population, general attitudes towards the PHR were mostly positive. The study participants mainly expressed hope for improved care and concerns about possible incomprehensibility of the content. In terms of learning content, information about access rights and data security were the aspects
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Expert Requirements for an Ultrasound-Based Wearable Using Deep Learning for Exercise Feedback in Olh physiotherapists and medical physicians having extensive experience in the use of imaging ultrasound. In terms of technical specifications, the experts expressed essential requirements about the penetration depth, field of view, and image quality of the ultrasound system. In addition, important as
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0302-9743 2022, which was held virtually as part of the 24.th. International Conference, HCII 2022, in June 26 to July 1, 2022...HCII 2022 received a total of 5583 submissions from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers an
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,Schluß Aporien des Schreibens,chies outperform a Random Forest multi-class classifier, indicating the potential of binary classifiers in future work. This paper lays the groundwork for developing more advanced hierarchical classifiers using pre-trained binary classifiers.
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Conference proceedings 2022ch was held virtually as part of the 24.th. International Conference, HCII 2022, in June 26 to July 1, 2022...HCII 2022 received a total of 5583 submissions from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 post
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https://doi.org/10.1007/978-94-010-0773-3ollege student. In addition to this, we address the shortcomings of current sleep data by developing our own dataset of over 300 h of full night recordings for a single individual. Using this dataset, we implement and compare various ML models, and discuss limitations and areas of future work for prediction of optimal sleep.
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