Matching Items (4)
Description
The aim of this study is to test the feasibility of building a storytelling system for older adults to tell and share their life stories based on email. It is measured by the level of participation and people's acceptance of the system. The central goals were to empower people over 60 years old by providing a platform for them to share their wonderful life experience and perspectives on life and lead social services into the digital age by bridging traditional roundtable interaction and modern digital communication. A prototype was built to test the level of participation of the system and follow-up interviews were conducted in order to deeply understand people's acceptance. Content analysis was used to analyze the stories to ascertain what common themes were present. Key design considerations and key factors that affect the feasibility of storytelling system were discussed. This research expands on current research and implementation of Internet-based storytelling system and shed light on the future of combining storytelling with older adults' existing Internet knowledge. Key findings of this research are :(1) Frequency of reminiscence trigger and the number of active participants affect the level of participation collectively. Frequency is considered to be a key determinant. High frequency indicates high level of participation. (2) Categories of topics do not affect the level of participation significantly but serve as key attractions that enhance people's acceptance of the system. (3) Older adults highly accept and get involved in the new email storytelling system. This storytelling program helps them recall their memories and have a profound effect on their own introspection.
ContributorsLi, Yuanyi (Author) / Giard, Jacques R (Thesis advisor) / Margolis, Eric (Committee member) / Larkin, Kyle (Committee member) / Arizona State University (Publisher)
Created2014
Description
As people age, the desire to grow old independently and in place becomes larger and takes greater importance in their lives. Successful aging involves the physical, mental and social well-being of an individual. To enable successful aging of older adults, it is necessary for them to perform both activities of daily living (ADL) and instrumental activities of daily living (IADL). Embedded assessment has made it possible to assess an individual's functional ability in-place, however the success of any technology depends largely on the user than the technology itself. Previous researches in in-situ functional assessment systems have heavily focused on the technology rather than on the user. This dissertation takes a user-centric approach to this problem by trying to identify the design and technical challenges of deploying and using a functional assessment system in the real world.
To investigate this line of research, a case study was conducted with 4 older adults in their homes, interviews were conducted with 8 caregivers and a controlled lab experiment was conducted with 8 young healthy adults at ASU, to test the sensors. This methodology provides a significant opportunity to advance the scientific field by expanding the present focus on IADL task performance to an integrated assessment of ADL and IADL task performance. Doing so would not only be more effective in identifying functional decline but could also provide a more comprehensive assessment of individuals' functional abilities with independence and also providing the caregivers with much needed respite.
The controlled lab study tested the sensors embedded into daily objects and found them to be reliable, and efficient. Short term exploratory case studies with healthy older adults revealed the challenges associated with design and technical aspects of the current system, while inductive analysis performed on interviews with caregivers helped to generate central themes on which future functional assessment systems need to be designed and built. The key central themes were a) focus on design / user experience, b) consider user's characteristics, personality, behavior and functional ability, c) provide support for independence, and d) adapt to individual user's needs.
To investigate this line of research, a case study was conducted with 4 older adults in their homes, interviews were conducted with 8 caregivers and a controlled lab experiment was conducted with 8 young healthy adults at ASU, to test the sensors. This methodology provides a significant opportunity to advance the scientific field by expanding the present focus on IADL task performance to an integrated assessment of ADL and IADL task performance. Doing so would not only be more effective in identifying functional decline but could also provide a more comprehensive assessment of individuals' functional abilities with independence and also providing the caregivers with much needed respite.
The controlled lab study tested the sensors embedded into daily objects and found them to be reliable, and efficient. Short term exploratory case studies with healthy older adults revealed the challenges associated with design and technical aspects of the current system, while inductive analysis performed on interviews with caregivers helped to generate central themes on which future functional assessment systems need to be designed and built. The key central themes were a) focus on design / user experience, b) consider user's characteristics, personality, behavior and functional ability, c) provide support for independence, and d) adapt to individual user's needs.
ContributorsRavishankar, Vijay Kumar (Author) / Burleson, Winslow (Thesis advisor) / Coon, David (Committee member) / Mahoney, Diane (Committee member) / Walker, Erin (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Created2015
Description
Advances in the area of ubiquitous, pervasive and wearable computing have resulted in the development of low band-width, data rich environmental and body sensor networks, providing a reliable and non-intrusive methodology for capturing activity data from humans and the environments they inhabit. Assistive technologies that promote independent living amongst elderly and individuals with cognitive impairment are a major motivating factor for sensor-based activity recognition systems. However, the process of discerning relevant activity information from these sensor streams such as accelerometers is a non-trivial task and is an on-going research area. The difficulty stems from factors such as spatio-temporal variations in movement patterns induced by different individuals and contexts, sparse occurrence of relevant activity gestures in a continuous stream of irrelevant movements and the lack of real-world data for training learning algorithms. This work addresses these challenges in the context of wearable accelerometer-based simple activity and gesture recognition. The proposed computational framework utilizes discriminative classifiers for learning the spatio-temporal variations in movement patterns and demonstrates its effectiveness through a real-time simple activity recognition system and short duration, non- repetitive activity gesture recognition. Furthermore, it proposes adaptive discriminative threshold models trained only on relevant activity gestures for filtering irrelevant movement patterns in a continuous stream. These models are integrated into a gesture spotting network for detecting activity gestures involved in complex activities of daily living. The framework addresses the lack of real world data for training, by using auxiliary, yet related data samples for training in a transfer learning setting. Finally the problem of predicting activity tasks involved in the execution of a complex activity of daily living is described and a solution based on hierarchical Markov models is discussed and evaluated.
ContributorsChatapuram Krishnan, Narayanan (Author) / Panchanathan, Sethuraman (Thesis advisor) / Sundaram, Hari (Committee member) / Ye, Jieping (Committee member) / Li, Baoxin (Committee member) / Cook, Diane (Committee member) / Arizona State University (Publisher)
Created2010
Description
ABSTRACT
Music therapy is a highly effective treatment when used in the care of persons with dementia (PWD) and singing in particular is found to be calming and pleasurable to PWD. Seniorsing.net is a music-based application for use in memory care that provides a fun and interactive sing along activity for PWD. Developed by a music therapist, the application is designed to engage the user in singing along with recorded song performances while lyrics are displayed on the device screen. Seniorsing.net is accessible on any mobile device and is intended to provide a positive musical experience for PWD, whether listening or singing along. This study was conducted to test the design aspects of the application for use with PWD and their caregivers. Eighteen dyads of participants/caregivers were recruited from the senior community. Participants were observed interacting with seniorsing.net by the music therapist to provide an understanding of the usability of seniorsing.net and to collect information on the responses of PWD to seniorsing.net. Caregivers were given the opportunity to evaluate seniorsing.net via survey. The parameters that were measured included visual clarity and appeal, audibility, clarity of directions and usability by PWD and their caregivers. Observations of participants showed positive interactions with the application. Over 64% of participants independently engaged in singing with the application and over 50% of participants were able to activate features of the application with minimal assistance. Caregiver feedback was also positive. Most caregivers strongly agreed or agreed to the effectiveness of the design and its ease of use with PWD. 100% of caregivers found the song performances to be appropriate and comfortable to follow and sing. Caregivers gave suggestions for improvement of seniorsing.net, such as including more song choices and having more written directions on some of the screens. In conclusion, seniorsing.net was found to be enjoyable and easy to use by PWD and their caregivers.
Keywords: Dementia, Music Therapy, Singing, Technology
Music therapy is a highly effective treatment when used in the care of persons with dementia (PWD) and singing in particular is found to be calming and pleasurable to PWD. Seniorsing.net is a music-based application for use in memory care that provides a fun and interactive sing along activity for PWD. Developed by a music therapist, the application is designed to engage the user in singing along with recorded song performances while lyrics are displayed on the device screen. Seniorsing.net is accessible on any mobile device and is intended to provide a positive musical experience for PWD, whether listening or singing along. This study was conducted to test the design aspects of the application for use with PWD and their caregivers. Eighteen dyads of participants/caregivers were recruited from the senior community. Participants were observed interacting with seniorsing.net by the music therapist to provide an understanding of the usability of seniorsing.net and to collect information on the responses of PWD to seniorsing.net. Caregivers were given the opportunity to evaluate seniorsing.net via survey. The parameters that were measured included visual clarity and appeal, audibility, clarity of directions and usability by PWD and their caregivers. Observations of participants showed positive interactions with the application. Over 64% of participants independently engaged in singing with the application and over 50% of participants were able to activate features of the application with minimal assistance. Caregiver feedback was also positive. Most caregivers strongly agreed or agreed to the effectiveness of the design and its ease of use with PWD. 100% of caregivers found the song performances to be appropriate and comfortable to follow and sing. Caregivers gave suggestions for improvement of seniorsing.net, such as including more song choices and having more written directions on some of the screens. In conclusion, seniorsing.net was found to be enjoyable and easy to use by PWD and their caregivers.
Keywords: Dementia, Music Therapy, Singing, Technology
ContributorsFranklin, Danielle (Author) / Rio, Robin (Thesis advisor) / Crowe, Barbara (Committee member) / Suzuki, Kotoka (Committee member) / Arizona State University (Publisher)
Created2015