一個健康管理的體感遊戲之實證研究利用羅吉斯回歸來衡量有效運動與服務補救設計

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研究生：	張奕傑 Chang, Yi-Jie
論文名稱：	一個健康管理的體感遊戲之實證研究利用羅吉斯回歸來衡量有效運動與服務補救設計 An Empirical Study of Health Management Motion Sport Game Using Logistic Regression Model to Measure Effective Exercise and Service Recovery Design
指導教授：	邱銘傳 Chiu, Ming-Chuan
口試委員:	黃雪玲 Hwang, Sheue-Ling 朱詣尹 Chu, Yee-Yeen
學位類別：	碩士 Master
系所名稱：	工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management
論文出版年：	2014
畢業學年度：	102
語文別：	英文
論文頁數：	64
中文關鍵詞：	服務補救、羅吉斯迴歸、運動自覺量表
外文關鍵詞：	Service Recovery, Kinect, Ratings of Perceived Exertion
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產品、客戶和服務即使在視頻體育遊戲也是緊密相連的。媒體提醒我們，現在的人們缺乏足夠的運動，已經是一個主要關注的健康議題。而適度的運動可以促進血液循環，改善身體機能，預防疾病等。伴隨著越來越重視的運動，本研究調查了Kinect，為一項互動科技對於健康運動的管理， Kinect可為用戶提供高相似模擬的運動服務。服務的目的是實現能達到有效的運動，使得用戶可以達到高的客戶滿意度水準。但可互是否能有效的運動仍是未知的。因此，本研究採用Logistic回歸模型來檢測運動的成效，並提供當運動為達到時之服務補救的建議。一個健康管理運動運動遊戲實證研究用以證明本研究之方法，而本次實驗的進行取代了侵入式數據（如，血乳酸），涵蓋了客觀的生理數據（如，心率，血壓）和主觀心理（如，主觀自覺量表）。本研究之主要貢獻在於應用Logistic回歸模型，可以協助使用者確定運動的有效性。並依照不同之運動效果提供適合的準則，以確保使用者可有效的運動保持良好的健康狀態。

Products, customers and service are intimately connected, even in the realm of video sports games. As the media reminds us, the lack of sufficient exercise has become a crucial health concern, even though most people know that regular moderate exercise can promote good physical conditions and help prevent disease. Therefore this research investigates Kinect Sports, an interactive technology tool for health management (product) that involves a simulated sports environment for its users (customers). Kinect’s goal is to help users achieve an effective exercise level that provides them with a high level of satisfaction (service). However, many Kinect users are unaware of whether or not they achieve an effective exercise level. Therefore, this study presents a logistic regression model to detect the effectiveness of exercise and to provide sport service recovery suggestions when effective exercise is not achieved. An empirical study demonstrates the proposed methodology. We collected and analyzed both objective physiological data (e.g., heart rate, blood pressure) and subjective psychological data (e.g., ratings of perceived exertion). Results show the effectiveness of our model which can help users determine the effectiveness of their individual exercise with Kinect, generating uniquely suited guidelines in accordance with different levels of exercise effectiveness.

Table of Contents
Abstract    IV
Table of Contents    IV
List of Table    V
List of Figure    V
1. Introduction    1
2. Literature review    3
2.1 SERVICE RECOVERY    3
2.2 SERVICE GUARANTEE    9
2.3 LOGISTIC REGRESSION    10
2.3 ACTIVE VIDEO GAMES    12
2.4 SUMMARY    12
3. Methodology    14
3.1 GOALS ESTABLISHMENT    14
3.2 DATA COLLECTION    15
3.3 DATA ANALYSIS    16
3.4 MODEL BUILDING    17
3.5 SERVICE RECOVERY    18
3.6 VERIFICATION    18
4. Case study    20
4.1GOALS    20
4.2 DATA COLLECTION    20
4.2.1 Variables    20
4.2.2 Experiment    21
4.3 DATA ANALYSIS    23
4.4 MODEL BUILDING AND RESULT    25
4.5 SERVICE RECOVERY    30
4.6 VERIFICATION    33
4.7 DISCUSSION    34
5. Conclusion    42
6. References    44
7. Appendix    51
THE QUESTIONNAIRES USED IN THE EXPERIMENT    51
List of Table
TABLE 2-1 THE COMPARISON OF THIS STUDY AND OTHER STUDIES    8
TABLE 4-1 THE BASELINE CHARACTERISTICS OF PARTICIPANTS (±SD)    24
TABLE 4-2 THE PAIRED SAMPLES T TEST OF QUESTIONNAIRE ITEMS    25
TABLE 4-3 LR ANALYSIS OF 45 PARTICIPANTS FOR THE EFFECTIVENESS OF EXERCISE    26
TABLE 4-4 CLASSIFICATION TABLE    27
TABLE 4-5 RESULT OF COMPARING THE OVERALL CORRECT RATE AND NAGELKERKE R2    27
TABLE 4-6 THE CORRELATIONS ANALYSIS BETWEEN VARIABLES    28
TABLE 4-7 RECOVERY VERSUS NO RECOVERY ON ENCOUNTER    ...
SATISFACTION    34
List of Figure
FIGURE 2-1 A CONCEPTUAL MODEL OF SERVICE FAILURE AND RECOVERY STRATEGIES (ZHU      ET AL. 2004)    6
FIGURE 2-2 IMPACT OF A WELL-DESIGNED SERVICE GUARANTEE (WIRTZ, 1998)    10
FIGURE 2-3 METHODOLOGY TREE OF SERVICE RECOVERY    13
FIGURE 3-1 RESEARCH FRAMEWORK    14
FIGURE 3-2 BORG’S RPE-SCALE 6–20    15
FIGURE 4-1 EXPERIMENTAL PROCESS    21
FIGURE 4-2 RELATED DEVICES OF KINECT    22
FIGURE 4-3 SUBJECTS EXERCISING DURING THE EXPERIMENT    22
FIGURE 4-4 THE KINECT’S INTERFACE OF RESULT AFTER EXERCISING    23
FIGURE 4-5 THE WOMEN’S RESULT OF MAX-HR AND AVERAGE-HR IN EXPERIMENT    29
FIGURE 4-6 THE PARTICIPANTS’ RESULT OF MAX-HR AND AVERAGE-HR IN EXPERIMENT    29
FIGURE 4-7 THE ALL PARTICIPANTS’ RESULT OF MAX-HR AND AVERAGE-HR IN EXPERIMENT    29
FIGURE 4-8 THE WOMEN’S RESULT OF PRE-MAP AND POST-MAP IN EXPERIMENT    30
FIGURE 4-9 THE MEN’S RESULT OF PRE-MAP AND POST-MAP IN EXPERIMENT    30
FIGURE 4-10 THE ALL PARTICIPANTS’ RESULT OF PRE-MAP AND POST-MAP IN EXPERIMENT    30
FIGURE 4-11 THE RESULT OF EACH PARTICIPANT AFTER CONVERSION    31
FIGURE 4-12 THE CONCEPTUAL FRAMEWORK OF SERVICE RECOVERY PROCESS    32
FIGURE 4-13 THE CONCEPT MIGHT BE COMBINED IN THE FUTURE FOR KINECT    38
FIGURE 4-14 THE SCREENSHOT OF INTERFACE OF THE EXERCISE REPORT FOR EFFECTIVE EXERCISE USERS    39
FIGURE 4-15 THE SCREENSHOT OF INTERFACE OF THE EXERCISE REPORT FOR EXCESSIVE EXERCISE USERS    39
FIGURE 4-16 THE SCREENSHOT OF INTERFACE OF THE EXERCISE REPORT FOR INEFFECTIVE EXERCISE USERS    40
FIGURE 4-17 THE SCREENSHOT OF INTERFACE OF THE DETAIL ANALYSIS THAT CALORIES BURNED    40
FIGURE 4-18 THE SCREENSHOT OF INTERFACE FOR THE USER WHO HAS COMPLETED    41

                                

[1.] Andreassen, T. (2000). Antecedents to Satisfaction with Service Recovery. European Journal of Marketing, 34(1/2), 156-175.
[2.] Antelmi, I., De Paula, R. S., Shinzato, A. R., Peres, C. A., Mansur, A. J., & Grupi, C. J. (2004). Influence of age, gender, body mass index, and functional capacity on heart rate variability in a cohort of subjects without heart disease. The American journal of cardiology, 93(3), 381-385.
[3.] Bagley, S., White, H., & Golomb, B. (2001). Logistic Regression in the Medical Literature: Standards for Use and Reporting, with Particular Attention to One Medical Domain. Journal of Clinical Epidemiology, 54(10), 979-985.
[4.] Basu, K. & Maertens, A. (2007). The Pattern and Causes of Economic Growth in India. Oxford Review of Economic Policy, 23(2), 143-167.
[5.] Battaglia, D., Borchardt, M., Sellitto, M. A., & Pereira, G. M. (2012). Service recovery: a method for assessing performance. Business Process Management Journal, 18(6), 949-963.
[6.] Bhandari, M., Tsarenko, Y., & Polonsky, M. (2007). A Proposed Multi-dimensional Approach to Evaluating Service Recovery. Journal of Services Marketing, 21(3), 174-185.
[7.] Borg, G. (1998). Borg's Perceived Exertion and Pain Scales. Champaign, IL: Human Kinetics.
[8.] Borg, G., Hassmén, P., & Lagerström, M. (1987). Perceived Exertion Related to Heart Rate and Blood Lactate during Arm and Leg Exercise. European Journal of Applied Physiology and Occupational Physiology, 56(6), 679-685.
[9.] Boshoff, C. and Allen, J. (2000). The influence of selected antecedents on frontline staff’s perceptions of service recovery performance. International Journal of Service Industry Management, 11 (1), 63-90.
[10.] Bowen, D. & Johnston, R. (1999). Internal Service Recovery: Developing a New Construct. International Journal of Service Industry Management, 10(2), 118-131.
[11.] Chang, Y., Chen, S., & Huang, J. (2011). A Kinect-based System for Physical Rehabilitation: A Pilot Study for Young Adults with Motor Disabilities. Research in Developmental Disabilities, 32(6), 2566-2570.
[12.] Chebat, J. C., & Slusarczyk, W. (2005). How emotions mediate the effects of perceived justice on loyalty in service recovery situations: an empirical study. Journal of Business Research, 58(5), 664-673.
[13.] Cole, C., Blackstone, E., Pashkow, F., Snader, C., & Lauer, M. (1999). Heart-rate Recovery Immediately After Exercise as a Predictor of Mortality. New England Journal of Medicine, 341(18), 1351-1357.
[14.] Danaher, P. & Mattsson, J. (1994). Customer Satisfaction During the Service Delivery Process. European Journal of Marketing, 28(5), 5-16.
[15.] Dreiseitl, S. & Ohno-Machado, L. (2002). Logistic Regression and Artificial Neural Network Classification Models: A Methodology Review. Journal of Biomedical Informatics, 35(5), 352-359.
[16.] Edvardsson, B., Tronvoll, B., & Höykinpuro, R. (2011). Complex service recovery processes: how to avoid triple deviation. Managing Service Quality, 21(4), 331-349.
[17.] Etzel-Wise, D. & Mears, B. (2004). Adapted Physical Education and Therapeutic Recreation in Schools. Intervention in School and Clinic, 39(4), 223-232.
[18.] Ganesan, S. & Anthony, L. (2012). Using the Kinect to Encourage Older Adults to Exercise: A Prototype. Proceedings in CHI ’12 Extended Abstracts on Human Factors in Computing Systems, ACM, 2297-2302.
[19.] Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. (2011). American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc, 43, 1334–1359.
[20.] Gronroos, C. (1984). A Service Quality Model and its Marketing Implications. European Journal of Marketing, 18(4), 36-44.
[21.] Heffernan, K., Fahs, C., Shinsako, K.., Jae, S., & Fernhall, B. (2007). Heart Rate Recovery and Heart Rate Complexity Following Resistance Exercise Training and Detraining in Young Men. American Journal of Physiology-Heart and Circulatory Physiology, 293(5), 3180-3186.
[22.] Heskett, J. L., Sasser, W. E., & Schlesinger, L. A. (1997). The service profit chain: How leading companies link profit and growth to loyalty. Satisfaction, and Value, New York.
[23.] Heskett, J., Sasser, W., & Schlesinger, L. (1997). The Service-Profit Chain. New York NY: Free Press.
[24.] Hosmer, D. & Lemesbow, S. (1980). Goodness of Fit Tests for the Multiple Logistic Regression Model. Communications in Statistics-Theory and Methods, 9(10), 1043-1069.
[25.] Kiernan, G., Gormley, M., & MacLachlan M. (2004). Outcomes Associated with Participation in a Therapeutic Recreation Camping Programme for Children from 15 European Countries: Data from the ‘Barretstown Studies’. Social Science & Medicine, 59(5), 903-913.
[26.] Kim, K., Cho, H., Jeong, I., Park, J., Park, Y., Kim, C., & Kim, T. (2010). Service Quality Analysis and Improvement: Development of a Systematic Framework.” International Journal of Industrial Engineering: Theory, Applications and Practice, 13(2), 177-187.
[27.] Krishna, A., Dangayach, G., & Jain R. (2011). Service Recovery: Literature Review and Research Issues. Journal of Service Science Research, 3(1), 71-121.
[28.] Kurata, H. & Nam, S. (2010). After-sales Service Competition in a Supply Chain: Optimization of Customer Satisfaction Level or Profit or Both? International Journal of Production Economics, 127(1), 136-146.
[29.] Lee, G., OLeary, J., Lee, S., & Morrison, A. (2002). Comparison and Contrast of Push and Pull Motivational Effects on Trip Behavior: An application of a Multinomial Logistic Regression Model. Tourism Analysis, 7(2), 89-104.
[30.] Mann, H. & Whitney, D. (1947). On a Test of Whether One of Two Random Variables is Stochastically Larger than the Lther. Annals of Mathematical Statistics, 18(1), 50-60.
[31.] Marmorstein, H., Sarel, D. and Lasser, W.M. (2001). Increasing the persuasiveness of a service guarantee: the role of service process evidence. Journal of Services Marketing, 15(2), 147-59.
[32.] McColl-Kennedy, J. R., & Sparks, B. A. (2003). Application of fairness theory to service failures and service recovery. Journal of Service Research, 5(3), 251-266.
[33.] McCollough, M. & Bharadwaj, S. (1992). The Recovery Paradox: An Examination of Customer Satisfaction in Relation to Disconfirmation, Service Quality, and Attribution Based Theories. In Allen C. (ed.), Marketing Theory and Applications. Chicago IL: American Marketing Association.
[34.] McDougall, G. H., Levesque, T., and VanderPlaat, P. (1998). Designing the service guarantee: unconditional or specific?. Journal of Services Marketing, 12(4), 278-293.
[35.] McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In Zarembka P. (ed.), Frontiers in Econometrics. New York: Academic Press.
[36.] Michel, S., & Meuter, M. L. (2008). The service recovery paradox: true but overrated? International Journal of Service Industry Management, 19(4), 441-457.
[37.] Michel, S., Bowen, D., & Johnston, R. (2009). Why service recovery fails: tensions among customer, employee, and process perspectives. Journal of Service Management, 20(3), 253-273.
[38.] Miyachi, M., Yamamoto, K., Ohkawara, K., and Tanaka, S. (2010). METs in adults while playing active video games: a metabolic chamber study. Med Sci Sports Exerc, 42(6), 1149-53.
[39.] Miyai, N., Arita, M., Miyashita, K., Morioka, I., Shiraishi, T., & Nishio, I. (2002). Blood Pressure Response to Heart Tate during Exercise Test and Tisk of Future Hypertension. Hypertension, 39(3), 761-766.
[40.] Nagelkerke, N. (1991). A Note on a General Definition of the Coefficient of Determination. Biometrika, 78(3), 691-692.
[41.] O’Donovan, C., and Hussey, J. (2012). Active video games as a form of exercise and the effect of gaming experience: a preliminary study in healthy young adults. Physiotherapy, 98(3), 205-210.
[42.] Özkan, C., Akman, G., & Özcan, B., (2010). Effecting Factors of Fustomer Satisfaction. International Journal of Industrial Engineering: Theory, Applications & Practice, 17 (4), 287-299.
[43.] Pearce, J. & Ferrier, S. (2000). Evaluating the Predictive Performance of Habitat Models Developed using Logistic Regression. Ecological Modelling, 133(3), 225-245.
[44.] Peng, W., Lin, J. H., and Crouse, J. (2011). Is playing exergames really exercising? A meta-analysis of energy expenditure in active video games. Cyberpsychology, Behavior, and Social Networking, 14(11), 681-688.
[45.] Pescatello, L., Fargo, A., Leach, C., & Scherzer, H. (1991). Short-Term Effect of Dynamic Exercise on Arterial Blood Pressure. Circulation, 83(5), 1557-1561.
[46.] Priluck, R., & Lala, V. (2009). The impact of the recovery paradox on retailer-customer relationships. Managing Service Quality, 19(1), 42-59.
[47.] Reichheld, F. & Sasser, W. (1990). Zero Defections: Quality Comes to Services. Harvard Business Review, 68(5), 105-11.
[48.] Reichheld, F. (1996). The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value. Boston, MA: Harvard Business School Press.
[49.] Seawright, K., DeTienne, K., Bernhisel, M., & Larson, C. (2008). An Empirical Examination of Service Recovery Design. Marketing Intelligence and Planning, 26(3), 253-274.
[50.] Sentas, P. & Lefteris, A. (2006). Categorical Missing Data Imputation for Software Cost Estimation by Multinomial Logistic Regression. Journal of Systems and Software, 79(3), 404-414.
[51.] Simons Jr, J. V. (2004). Reliability-based analysis of service recovery. International Journal of Quality & Reliability Management, 21(1), 11-31.
[52.] Simons, J. V., & Kraus, M. E. (2005). An analytical approach for allocating service recovery efforts to reduce internal failures. Journal of Service Research, 7(3), 277-289.
[53.] Smith, J. S., & Karwan, K. R. (2010). Empirical profiles of service recovery systems: the maturity perspective. Journal of Service Research, 13(1), 111-125.
[54.] Smith, J., Fox, G., & Ramirez, E. (2010). An Integrated Perspective of Service Recovery: A Sociotechnical Systems Approach. Journal of Service Research, 13(4), 439-452.
[55.] Sparks, B. & McColl, K. (2001). Justice Strategy Options for Increased Customer Satisfaction in a Services Recovery Setting. Journal of Business Research, 54(3), 209-218.
[56.] Sport administration, ministry of education of the R.O.C, http://www.fitness.org.tw/direct02.php, http://www.sa.gov.tw/PDA/PDA-data.aspx?Wdid=2144.
[57.] Spreng, R. A., Harrell, G. D., & Mackoy, R. D. (1995). Service recovery: impact on satisfaction and intentions. Journal of Services Marketing, 9(1), 15-23.
[58.] Tao, C., Chen, S., & Hsieh, C. (2009). Assessing Product Satisfaction Performance using 6-Sigma Methodology and S/N Ratio Approach-the case of PDA. International Journal of Industrial Engineering: Theory, Applications and Practice, 16(1), 51-60.
[59.] Warburton, D. E., Bredin, S. S., Horita, L. T., Zbogar, D., Scott, J. M., Esch, B. T., and Rhodes, R. E. (2007). The health benefits of interactive video game exercise. Applied Physiology, Nutrition, and Metabolism, 32(4), 655-663.
[60.] Wirtz, J. (1998). Development of a service guarantee model. Asia Pacific Journal of Management, 15(1), 15-75.
[61.] Zeithaml, V. A., Berry, L. L., and Parasuraman, A. (1993). The nature and determinants of customer expectations of service. Journal of the academy of Marketing Science, 21(1), 1-12.
[62.] Zemke, R. & Bell, C. (1990). Service recovery: Doing it Right the Second Time. Training, 27(6), 42-48.
[63.] U.S. National Institutes of Health (2014) http://www.nlm.nih.gov/medlineplus/ency/article/003101.htm Viewed: 5/11/2014.
[64.] Zhu, Z., Sivakumar, K., & Parasuraman, A. (2004). A Mathematical Model of Service Failure and Recovery Strategies. Decision Sciences, 35(3), 493-525
[65.] American Heart Association (2012) http://newsroom.heart.org/news/1323 Viewed: 5/11/2014.
[66.] Mhurchu, C. N., Maddison, R., Jiang, Y., Jull, A., Prapavessis, H., & Rodgers, A. (2008). Couch potatoes to jumping beans: A pilot study of the effect of active video games on physical activity in children. International Journal of Behavioral Nutrition and Physical Activity, 5(1), 8, 1-5.
[67.] Hosmer Jr, D. W., and Lemeshow, S. (2004). Applied logistic regression. John Wiley and Sons.

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