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Framework for a Context Aware Adaptive Intelligent Assistant for Activities of Daily Living

Thakur, Nirmalya
http://orcid.org/0000-0002-3225-1870
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553528536685873

Abstract Details

2019, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
The increasing population of elderly people has been one of the characteristics of this modern century. This ever-increasing population of elderly people is predicted to outnumber the population of youths and caregivers in a few years’ time. Old age is mostly associated with a number of problems like memory issues, cognitive disabilities, disorganized behavior and many more, quite often leading to Mild Cognitive Impairment (MCI) and other forms of disabilities which cause problems for elderly people to accomplish their daily routine activities. This increased need for healthcare and daily care services that is associated with old age, causes a huge burden on the world economy to sustain and meet the needs of elderly people worldwide. To ensure that these varying needs of elderly people arising from their differing diversities are met, and they have a better quality of life, it is essential for modern day technologies to adapt according to the specific needs of individual users and develop an assisted living environment that can improve both physical and mental wellbeing and foster independent living of older adults in the context of their day to day goals and tasks. The integration of Affect Aware Technologies with Activity Centric Computing in the context of Human-Computer Interaction and Internet of Things (IoT)-based technologies holds immense potential to act as a long-term solution to address these ever-increasing needs for elderly care. This serves as the primary interest for this research work. In this work, a Framework for a Context Aware Adaptive Intelligent Assistant for Activities of Daily Living (ADLs) has been proposed. This framework integrates methodologies for complex activity recognition, user performance augmentation for respective activities and complex activity recommendation, based on the users affective state and daily routine. The ability of this framework to adapt according to the dynamic needs of specific users and help them have better user experiences in the context of ADLs is aimed to address the above-mentioned needs of elderly care and contribute towards healthy aging in place to sustain and foster an improved quality of life for older adults in the context of their day to day goals. This proposed framework has been tested on 21 different complex activities from three different user interaction datasets and the results are presented and discussed. A comparative study is also included that discusses the superiority of this framework for modelling “specific users” over the traditional approaches of designing systems for “average users” - which quite often fail to address the varying needs of specific users arising from universal diversity. The results presented in this work discuss the ability of this Proposed Adaptive Intelligent Assistant to act in a personalized manner and help elderly people perform ADLs in the context of a smart and connected IoT-based environment with a high degree of accuracy and reliability. Several potential applications of this framework are also discussed which uphold the relevance for implementation of the same for creation of an adaptive and assisted living environment to ensure that elderly people as well as other categories of users with disabilities, have better user experiences in the context of ADLs.
Chia Han, Ph.D. (Committee Chair)
Wen-Ben Jone, Ph.D. (Committee Member)
Nan Niu, Ph.D. (Committee Member)
201 p.
Computer Science
Human-Computer Interaction; Smart Home; Activities of Daily Living; Assisted Living; Intelligent Assistant

Recommended Citations

Citations

  • Thakur, N. (2019). Framework for a Context Aware Adaptive Intelligent Assistant for Activities of Daily Living [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553528536685873

    APA Style (7th edition)

  • Thakur, Nirmalya. Framework for a Context Aware Adaptive Intelligent Assistant for Activities of Daily Living. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553528536685873.

    MLA Style (8th edition)

  • Thakur, Nirmalya. "Framework for a Context Aware Adaptive Intelligent Assistant for Activities of Daily Living." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553528536685873

    Chicago Manual of Style (17th edition)

ucin1553528536685873
240
© 2019, some rights reserved.Creative Commons License Framework for a Context Aware Adaptive Intelligent Assistant for Activities of Daily Living by Nirmalya Thakur is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.