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020 ▼a 9781088315774
035 ▼a (MiAaPQ)AAI13885122
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 574
1001 ▼a Fan, Jing.
24510 ▼a Models of Adaptation in Intelligent Human-Machine Interaction and Their Applications to Elder Care and Autism Spectrum Disorder Intervention.
260 ▼a [S.l.]: ▼b Vanderbilt University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 171 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
500 ▼a Advisor: Sarkar, Nilanjan.
5021 ▼a Thesis (Ph.D.)--Vanderbilt University, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a 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
590 ▼a School code: 0242.
650 4 ▼a Robotics.
650 4 ▼a Artificial intelligence.
650 4 ▼a Computer engineering.
650 4 ▼a Electrical engineering.
650 4 ▼a Man machine interaction.
690 ▼a 0771
690 ▼a 0800
690 ▼a 0464
690 ▼a 0544
71020 ▼a Vanderbilt University. ▼b Electrical Engineering.
7730 ▼t Dissertations Abstracts International ▼g 81-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0242
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491415 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1816162
991 ▼a E-BOOK