abstract: 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. / Dissertation/Thesis / M.S.D. Design 2014
Identifer | oai:union.ndltd.org:asu.edu/item:24852 |
Date | January 2014 |
Contributors | Li, Yuanyi (Author), Giard, Jacques R (Advisor), Margolis, Eric (Committee member), Larkin, Kyle (Committee member), Arizona State University (Publisher) |
Source Sets | Arizona State University |
Language | English |
Detected Language | English |
Type | Masters Thesis |
Format | 128 pages |
Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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