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題名 透過高齡幸福價值最大化達到成功的在地老化
Successful Aging through Senior Well-being Valuation and Maximization
作者 謝承豫
Hsieh, Cheng Yu
貢獻者 苑守慈
Yuan, Soe Tsyr
謝承豫
Hsieh, Cheng Yu
關鍵詞 幸福
價值最大化
多維度評價
穿戴式裝置
戰後嬰兒潮
Well-being
Value maximization
Multi-dimension evaluation
Wearable devices
Baby boomers
日期 2016
上傳時間 2-Aug-2016 17:01:44 (UTC+8)
摘要 大多數的已開發國家都逐漸成為高齡化社會；同時，可以幫助高齡族群的科技發明變得越來越流行和重要。本研究提出一個以穿戴式裝置為基礎的服務系統，不只專注在健康，也重視正向情緒、投入程度、人際關係、人生意義和成就感（PERMA，幸福模型）。本系統的目標是透過以活動為基礎的介入，促進幸福價值；亦即透過整合服務系統內的所有資源以提供個人化的活動介入給戰後嬰兒潮族群，並整合子系統的最佳化機制以得到整體的價值最大化。
因為幸福被定義為一種多維度的觀念，為了衡量並評價幸福，我們使用一個以影子價格為基礎的計算矩陣來比較各個活動介入的價值。透過幸福價值最大化，本研究試著幫助戰後嬰兒潮族群成功的在地老化。本研究初探性的結果指出，此系統被證實是有效的，且活動介入有能力增加使用者感受的幸福價值，介入品質和高齡幸福評價被發現有高度關聯性。
Most of the societies of developed countries are becoming “aging population society”. Technologies that help baby boomers stay healthy become more popular and essential. We propose a wearable-device-based service system that focused not only on vitality but also positive emotion, engagement, relationship, meaning and accomplishment (PERMA as well-being model). Since the system aims at improving well-being value through activity-based interventions, it is necessary to integrate all the resources within the service system and provide the most appropriate personalized interventions with most expected value to the baby boomers. The system generates those interventions through greedy approach, which means they are generated by local mechanism first and combine them to get the global optimality.
In order to measure well-being, which is definitely a multi-dimensional concept, we use an evaluation matrix based on shadow price to compare the value between each intervention, i.e. activities. By the well-being valuation and maximization, we try to make the baby boomers live a successful aging. Our exploratory evaluations show that the system is justified to be effective and activity-based interventions are able to increase baby boomers’ perceived value. The correlation between intervention quality and senior well-being valuation is found along with other findings.
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[20] Diener, E., Oishi, S., & Lucas, R. E. (2003). Personality, culture, and subjective well-being: Emotional and cognitive evaluations of life. Annual review of psychology, 54(1), 403-425.
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[28] Forrester, J., Gerger Swartling, Å., & Lonsdale, K. (2008). Stakeholder Engagement and the work of SEI: An empirical study.
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[30] Ghosh, R., Ratan, S., Lindeman, D., & Steinmetz, V. (2013). The new era of connected aging: A framework for understanding technologies that support older adults in aging in place. Oakland, CA: Center for Technology and Aging.
[31] Heckman, J. (1974). Shadow prices, market wages, and labor supply. Econometrica: journal of the econometric society, 679-694.
[32] Hills, P., & Argyle, M. (2001). Happiness, introversion–extraversion and happy introverts. Personality and individual Differences, 30(4), 595-608.
[33] Jahoda, M. (1958). Current concepts of positive mental health.
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描述 碩士
國立政治大學
資訊管理學系
103356028
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0103356028
資料類型 thesis
dc.contributor.advisor 苑守慈zh_TW
dc.contributor.advisor Yuan, Soe Tsyren_US
dc.contributor.author (Authors) 謝承豫zh_TW
dc.contributor.author (Authors) Hsieh, Cheng Yuen_US
dc.creator (作者) 謝承豫zh_TW
dc.creator (作者) Hsieh, Cheng Yuen_US
dc.date (日期) 2016en_US
dc.date.accessioned 2-Aug-2016 17:01:44 (UTC+8)-
dc.date.available 2-Aug-2016 17:01:44 (UTC+8)-
dc.date.issued (上傳時間) 2-Aug-2016 17:01:44 (UTC+8)-
dc.identifier (Other Identifiers) G0103356028en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/99551-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理學系zh_TW
dc.description (描述) 103356028zh_TW
dc.description.abstract (摘要) 大多數的已開發國家都逐漸成為高齡化社會；同時，可以幫助高齡族群的科技發明變得越來越流行和重要。本研究提出一個以穿戴式裝置為基礎的服務系統，不只專注在健康，也重視正向情緒、投入程度、人際關係、人生意義和成就感（PERMA，幸福模型）。本系統的目標是透過以活動為基礎的介入，促進幸福價值；亦即透過整合服務系統內的所有資源以提供個人化的活動介入給戰後嬰兒潮族群，並整合子系統的最佳化機制以得到整體的價值最大化。
因為幸福被定義為一種多維度的觀念，為了衡量並評價幸福，我們使用一個以影子價格為基礎的計算矩陣來比較各個活動介入的價值。透過幸福價值最大化，本研究試著幫助戰後嬰兒潮族群成功的在地老化。本研究初探性的結果指出，此系統被證實是有效的，且活動介入有能力增加使用者感受的幸福價值，介入品質和高齡幸福評價被發現有高度關聯性。		zh_TW
dc.description.abstract (摘要) Most of the societies of developed countries are becoming “aging population society”. Technologies that help baby boomers stay healthy become more popular and essential. We propose a wearable-device-based service system that focused not only on vitality but also positive emotion, engagement, relationship, meaning and accomplishment (PERMA as well-being model). Since the system aims at improving well-being value through activity-based interventions, it is necessary to integrate all the resources within the service system and provide the most appropriate personalized interventions with most expected value to the baby boomers. The system generates those interventions through greedy approach, which means they are generated by local mechanism first and combine them to get the global optimality.
In order to measure well-being, which is definitely a multi-dimensional concept, we use an evaluation matrix based on shadow price to compare the value between each intervention, i.e. activities. By the well-being valuation and maximization, we try to make the baby boomers live a successful aging. Our exploratory evaluations show that the system is justified to be effective and activity-based interventions are able to increase baby boomers’ perceived value. The correlation between intervention quality and senior well-being valuation is found along with other findings.		en_US
dc.description.tableofcontents Chapter 1 INTRODUCTION 1
1.1 Background and Motivation 1
1.2 Research Question 4
1.3 Research Method 5
1.4 Purpose and Contribution 6
1.5 Content Organization 8
Chapter 2 LITERATURE REVIEW 9
2.1 Wellbeing 9
2.1.1 The Components of Wellbeing 10
2.1.2 PERMA Model 12
2.2 Measuring Wellbeing 13
2.2.1 Multi-Dimensional Evaluation 15
2.3 Intervention 16
Chapter 3 IENJORANGE PLATFROM 18
Chapter 4 METHODOLOGY 27
4.1 Conceptual Framework 27
4.2 System Architecture 31
4.3 Resource Integration Module 33
4.4 Evaluation Module 35
4.4.1 User Perception Identification Submodule 39
4.4.2 PERMA Evaluation Matrix Submodule 42
4.5 Intervention Module 43
4.5.1 Tag-based Intervention Configuration Submodule 45
4.5.2 Intervention Instance Filtering Submodule 47
4.5.3 Activity-based Intervention Submodule 48
Chapter 5 APPLICATION SCENARIO 51
Chapter 6 EVALUATION 62
6.1 Propositions 62
6.2 Assumptions 63
6.3 Controlled Experiments 63
6.3.1 Design and Objective of Experiments 64
6.3.2 Subjects of Experiments 68
6.3.3 Results of Experiments 69
6.4 Findings and Discussion 89
Chapter 7 CONCLUSION 93
7.1 Contributions 93
7.2 Managerial Implications 95
7.3 Limitations and Future Works 96
REFERENCES 98		zh_TW
dc.format.extent 2437883 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0103356028en_US
dc.subject (關鍵詞) 幸福zh_TW
dc.subject (關鍵詞) 價值最大化zh_TW
dc.subject (關鍵詞) 多維度評價zh_TW
dc.subject (關鍵詞) 穿戴式裝置zh_TW
dc.subject (關鍵詞) 戰後嬰兒潮zh_TW
dc.subject (關鍵詞) Well-beingen_US
dc.subject (關鍵詞) Value maximizationen_US
dc.subject (關鍵詞) Multi-dimension evaluationen_US
dc.subject (關鍵詞) Wearable devicesen_US
dc.subject (關鍵詞) Baby boomersen_US
dc.title (題名) 透過高齡幸福價值最大化達到成功的在地老化zh_TW
dc.title (題名) Successful Aging through Senior Well-being Valuation and Maximizationen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) [1] American Association of Retired Persons (AARP). (2004). a growing market: Expenditures by the older population-analysis from the Consumer Expenditure Survey. Beyond 50.04: A report to the nation on consumers in the marketplace: Executive Summary. Washington, DC: AARP Public Policy Institute. http://assets.aarp.org/rgcenter/consume/beyond_50_cons_2.pdf. Accessed 14.02.07.
[2] Andrews, F. M., & McKennell, A. C. (1980). Measures of self-reported well-being: Their affective, cognitive, and other components. Social Indicators Research, 8(2), 127-155.
[3] Andrews, F. M., & Withey, S. (1976). Social indicators of well-being: American perceptions of quality of life. The Management Group.
[4] Baines, T. S., Lightfoot, H. W., Evans, S., Neely, A., Greenough, R., Peppard, J., ... & Wilson, H. (2007). State-of-the-art in product-service systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(10), 1543-1552.
[5] Ballou, M. B. (1995). Psychological interventions: A guide to strategies. Greenwood Publishing Group.
[6] Bradburn, N. M. (1969). The structure of psychological well-being.
[7] Brickman, P., & Campbell, D. T. (1971). Hedonic relativism and planning the good society. Adaptation-level theory, 287-305.
[8] Campbell, A., Converse, P. E., & Rodgers, W. L. (1976). The quality of American life: Perceptions, evaluations, and satisfactions. Russell Sage Foundation.
[9] Cameron, K. S. (2012). Positive leadership: Strategies for extraordinary performance. Berrett-Koehler Publishers.
[10] Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323-347.
[11] Chr. Hjorth-Andersen. (1984). The concept of quality and the efficiency of markets for consumer products. Journal of Consumer Research, 708-718.
[12] Cormen, T. H. (2009). Introduction to algorithms. MIT press. Chapter 16 "Greedy Algorithms".
[13] Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: a reexamination and extension. The journal of marketing, 55-68.
[14] Deaton, A. (2007). Income, aging, health and wellbeing around the world: Evidence from the Gallup World Poll (No. w13317). National Bureau of Economic Research.
[15] DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
[16] Diener, E., & Suh, E. (1997). Measuring quality of life: Economic, social, and subjective indicators. Social indicators research, 40(1-2), 189-216.
[17] Diener, E., Suh, E., Oishi, S., & Triandis, H. C. (1998). The shifting basis of life satisfaction judgments across cultures: Emotions versus norms. Journal of personality and social psychology, 74(2), 482.
[18] Diener, E., & Lucas, R. E. (1999). 11 Personality and Subjective Well-Being. Well-being: Foundations of hedonic psychology, 213.
[19] Diener, E. (2000). Subjective well-being: The science of happiness and a proposal for a national index (Vol. 55, No. 1, p. 34). American Psychological Association.
[20] Diener, E., Oishi, S., & Lucas, R. E. (2003). Personality, culture, and subjective well-being: Emotional and cognitive evaluations of life. Annual review of psychology, 54(1), 403-425.
[21] Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. Advances in consumer research, 12(1), 85-90.
[22] Dolan, P., & Metcalfe, R. (2011). Measuring subjective wellbeing for public policy: Recommendations on measures.
[23] Eakman, A. M., Carlson, M. E., & Clark, F. A. (2010). The meaningful activity participation assessment: A measure of engagement in personally valued activities. Th Easterlin, R. A. (1974). Does economic growth improve the human lot? Some empirical evidence. Nations and households in economic growth, 89, 89-125.e International Journal of Aging and Human Development, 70(4), 299-317.
[24] Easterlin, R. A. (1995). Will raising the incomes of all increase the happiness of all?. Journal of Economic Behavior & Organization, 27(1), 35-47.
[25] Easterlin, R. A. (2003). Explaining happiness. Proceedings of the National Academy of Sciences, 100(19), 11176-11183.
[26] Figueira, J., Greco, S., & Ehrgott, M. (2005). Multiple criteria decision analysis: state of the art surveys (Vol. 78). Springer Science & Business Media.
[27] Forgeard, M. J., Jayawickreme, E., Kern, M. L., & Seligman, M. E. (2011). Doing the right thing: Measuring wellbeing for public policy. International Journal of Wellbeing, 1(1).
[28] Forrester, J., Gerger Swartling, Å., & Lonsdale, K. (2008). Stakeholder Engagement and the work of SEI: An empirical study.
[29] Frey, B. S., & Stutzer, A. (2002). What can economists learn from happiness research?. Journal of Economic literature, 402-435.
[30] Ghosh, R., Ratan, S., Lindeman, D., & Steinmetz, V. (2013). The new era of connected aging: A framework for understanding technologies that support older adults in aging in place. Oakland, CA: Center for Technology and Aging.
[31] Heckman, J. (1974). Shadow prices, market wages, and labor supply. Econometrica: journal of the econometric society, 679-694.
[32] Hills, P., & Argyle, M. (2001). Happiness, introversion–extraversion and happy introverts. Personality and individual Differences, 30(4), 595-608.
[33] Jahoda, M. (1958). Current concepts of positive mental health.
[34] Kahneman, D., Diener, E., & Schwarz, N. (Eds.). (1999). Well-being: Foundations of hedonic psychology. Russell Sage Foundation.
[35] Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems, 43(1), 111-126.
[36] Layard, R. (2005). Happiness: lessons form a New Science. London: Allen Lane.
[37] Lusardi, A., & Mitchell, O. S. (2005). Financial literacy and planning: Implications for retirement wellbeing. Michigan Retirement Research Center Research Paper No. WP, 108.
[38] Martin, L. G., Freedman, V. A., Schoeni, R. F., & Andreski, P. M. (2009). Health and functioning among baby boomers approaching 60. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, gbn040.
[39] Michalos, A. C. (1980). Satisfaction and happiness. Social indicators research, 8(4), 385-422.
[40] Moschis, G. P. (2003). Marketing to older adults: an updated overview of present knowledge and practice. Journal of Consumer Marketing, 20(6), 516-525.
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