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Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention. |
| 개인저자 | Fan, Jing. |
| 단체저자명 | Vanderbilt University. Electrical Engineering. |
| 발행사항 | [S.l.]: Vanderbilt University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 171 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
| ISBN | 9781088315774 |
| 학위논문주기 | Thesis (Ph.D.)--Vanderbilt University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Sarkar, Nilanjan. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | The role of human-machine interaction (HMI) has been increasingly important in our everyday lives. This dissertation focused on creating formal methods, algorithms, and architectures for adaptive HMI with specific applications to elder care and autism spectrum disorder (ASD) intervention. Human-machine systems have been explored to engage older adults in activity-oriented therapies and provide treatments for individuals with ASD. While these systems are promising, they are limited in their ability to i) understand the implicit mental states of a user |
| 일반주제명 | Robotics. Artificial intelligence. Computer engineering. Electrical engineering. Man machine interaction. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
