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Finding the best way to put media bias research into practice via an annotation app ...
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Audio-driven Character Animation
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In: Doctoral Dissertations (2021)
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Comparison of Machine Learning Models: Gesture Recognition Using a Multimodal Wrist Orthosis for Tetraplegics
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In: The Journal of Purdue Undergraduate Research (2020)
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Practical Natural Language Generation from Knowledge Graphs
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In: Embargoed Honors Theses, University of Nebraska-Lincoln (2019)
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The affordances of process-tracing technologies for supporting L2 writing instruction
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In: English Publications (2018)
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Augmented Reality in Foreign Language Education: A Review of Empirical Studies (增强现实技术在外语教学中的应用:文献综述性研究)
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In: World Languages and Cultures Publications (2018)
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Word Towers: Assessing Domain Knowledge with Non-Traditional Genres
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In: Ashish Amresh (2018)
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Developing a Bilingual, Computer-Tailored, HPV Vaccination Promotion Intervention Targeting Latino Parents
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In: Ashish Amresh (2018)
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Abstract:
In this paper we present an innovative, computer-tailored application aimed at increasing Latino parents' intention to vaccinate their adolescent children against Human Papilloma Virus (HPV). HPV infection is the most common sexually transmitted infection in the United States. Latinas have the highest age-adjusted incidence rate for HPV-associated cervical cancer compared with their counterparts in other racial/ethnic groups. HPV vaccines offer hope against HPV-associated diseases. Because parental consent is required for children under age 18 to receive t h e HPV vaccination in most U. S. states, parents' attitudes and intention to have their children vaccinated are keys for promoting HPV vaccination. As health care providers often find it challenging to provide HPV vaccination education in clinical settings due to competing demands, we developed a computer-tailored application as an innovative and feasible approach to address this gap. The preliminary data suggest that our design is promising for increasing Latino parents' intention to vaccinate their adolescent children. In this paper we will provide the design of the application, preliminary findings and future plans.
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Keyword:
Analytical; Diagnostic and Therapeutic Techniques and Equipment; Graphics and Human Computer Interfaces; Software Engineering
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URL: https://works.bepress.com/ashish-amresh/16
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Speech Emotion Recognition using Convolutional Neural Networks
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In: Computer Science and Engineering: Theses, Dissertations, and Student Research (2018)
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Potential of Dedicated Language Processing Units in Computer Voice Interaction
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In: Idaho Conference on Undergraduate Research (2017)
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Hand Gesture Recognition for Sign Language Transcription
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In: Boise State University Theses and Dissertations (2017)
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Radical Recognition in Off-Line Handwritten Chinese Characters Using Non-Negative Matrix Factorization
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In: Senior Projects Spring 2016 (2016)
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Paralinguistic Speech Recognition: Classifying Emotion in Speech with Deep Learning Neural Networks
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In: Senior Projects Spring 2016 (2016)
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Developing a Bilingual, Computer-Tailored, HPV Vaccination Promotion Intervention Targeting Latino Parents
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In: Publications (2015)
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Misheard Me Oronyminator: Using Oronyms to Validate The Correctness of Frequency Dictionaries
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In: Master's Theses (2013)
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Two Studies on How a Typeface Congruent With Content Can Enhance Onscreen Communication
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In: Barbara S. Chaparro (2013)
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Is User-Validation Necessary for a Spanish Translation of the Microsoft Product Reaction Cards Tool?
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In: Barbara S. Chaparro (2013)
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An Examination of Presentation Strategies for Textual Data in Augmented Reality
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In: Department of Computer Graphics Technology Degree Theses (2013)
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Cognitive Activity Support Tools: Design of the Visual Interface
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In: Electronic Thesis and Dissertation Repository (2013)
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Detecting Multilingual Lines of Text with Fusion Moves
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In: Electronic Thesis and Dissertation Repository (2013)
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