隨著智慧型手機普及與民眾對健康的重視，現今已有超過10萬個醫療健康App可供使用，在取代性高的App市場中如何提高使用者滿意度與持續使用率成為重要研究議題。本研究以科技接受模型為理論基礎，探討認知性變數(有用性、易用性)與設計型變數(設計美觀性、回應時間、資訊品質)對大學生使用醫療App滿意度與使用意圖的影響。本研究使用實際操作的方式，讓使用者操作兩種App，分別是功能導向型和醫療資訊型App，接著再以台灣某大學學生為研究對象進行問卷調查，在三個月的研究時間中發放共計150份問卷並全數有效回收，資料分析方法採用多元迴歸模型。結果顯示(1)對功能導向型App而言，設計美觀性和回應時間各以正負向關係顯著影響使用者滿意度(p<0.05)，進而影響再使用意圖；(2)對醫療資訊型App而言，資訊品質對使用者滿意度有最顯著的影響效果，再影響到再使用意圖；(3)認知性變數對設計型變數影響使用者滿意度的關係有中介效果。本研究成果可協助相關業者設計適合目標客群的醫療保健App。

With the popularity of smart phone and an increasing concern for health and wellness, there are currently more than 100 thousand health-related mobile Apps available. How to raise user’s satisfaction and utilization in the highly replaceable App market becomes an important research area. This study uses technology acceptance model (TAM) to investigate how cognitive factors (perceived ease of use and perceived usefulness) and design factors (aesthetics, response time and information quality) affect college students’ satisfaction and intention on using health-related Apps. Two types of Apps, function-oriented and information-oriented, were examined in this study. A total of 150 valid questionnaires were collected from the students at a university of northern Taiwan during a three months period. Multi- regression model was used to analyze the data. The results show that (1) for function-oriented Apps, aesthetics and response time have significant effect on user satisfaction (p<0.05). User satisfaction has significant effect on continuance usage intention. (2) for information-oriented Apps, information quality has the most significant effect on user satisfaction(p<0.05). (3) There is mediating effect of cognitive factors on the relationship of design factors and user satisfaction. Overall, the results provide important references for Apps companies to develop appropriate health-related Apps for customers.

[1] Baraković, S. and L. Skorin-Kapov (2015). "Multidimensional modelling of quality of experience for mobile Web browsing." Computers in Human Behavior 50: 314-332.

[2] Baron, R. M. and D. A. Kenny (1986). "The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations." Journal of personality and social psychology 51(6): 1173.

[3] Baroudi, J. J., et al. (1986). "An empirical study of the impact of user involvement on system usage and information satisfaction." Communications of the ACM 29(3): 232-238.

[4] Bhattacherjee, A. (2001). "An empirical analysis of the antecedents of electronic commerce service continuance." Decision support systems 32(2): 201-214.

[5] Bielen, F. and N. Demoulin (2007). "Waiting time influence on the satisfaction-loyalty relationship in services." Managing Service Quality: An International Journal 17(2): 174-193.

[6] Burgy, C. and J. Garrett (2003). "Situation-aware interface design: an interaction constraints model for finding the right interaction for mobile and wearable computer systems." NIST SPECIAL PUBLICATION SP: 563-568.

[7] Carter, M. C., et al. (2013). "Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial." Journal of medical Internet research 15(4): e32.

[8] Chau, P. Y. (1996). "An empirical assessment of a modified technology acceptance model." Journal of management information systems 13(2): 185-204.

[9] Cho, J., et al. (2014). "Determinants of adoption of smartphone health apps among college students." American journal of health behavior 38(6): 860-870.

[10] Comstock, J. (2013). Report: 1.7 B to download health apps by 2017.

[11] Cronin, J. J., et al. (2000). "Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments." Journal of retailing 76(2): 193-218.

[12] Cummiskey, M. (2011). "There’s an app for that smartphone use in health and physical education." Journal of Physical Education, Recreation & Dance 82(8): 24-30.

[13] Cyber, R. and J. March (1963). "A behavior theory of the firm." Blacewell: London.

[14] Cyr, D., et al. (2006). "Design aesthetics leading to m-loyalty in mobile commerce." Information & management 43(8): 950-963.

[15] Davis, F. D. (1989). "Perceived usefulness, perceived ease of use, and user acceptance of information technology." MIS quarterly: 319-340.

[16] Davis, F. D. (1993). "User acceptance of information technology: system characteristics, user perceptions and behavioral impacts." International journal of man-machine studies 38(3): 475-487.

[17] DeLone, W. H. and E. R. McLean (1992). "Information systems success: The quest for the dependent variable." Information systems research 3(1): 60-95.

[18] Doll, W. J. and G. Torkzadeh (1988). "The measurement of end-user computing satisfaction." MIS quarterly: 259-274.

[19] Fishbein, M. and I. Ajzen (1975). Belief, attitude, intention and behavior: An introduction to theory and research.

[20] Flavián, C., et al. (2006). "The role played by perceived usability, satisfaction and consumer trust on website loyalty." Information & management 43(1): 1-14.

[21] Fox, S. and M. Duggan (2012). Mobile health 2012, Pew Internet & American Life Project Washington, DC.

[22] Frøisland, D. H., et al. (2012). "Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study." Journal of medical Internet research 14(4): e111.

[23] Hoxmeier, J. A. and C. DiCesare (2000). "System response time and user satisfaction: An experimental study of browser-based applications." AMCIS 2000 Proceedings: 347.

[24] Hu, P. J., et al. (1999). "Examining the technology acceptance model using physician acceptance of telemedicine technology." Journal of management information systems 16(2): 91-112.

[25] Hu, P. J., et al. (1999). "Examining the technology acceptance model using physician acceptance of telemedicine technology." Journal of management information systems: 91-112.

[26] Jackson, C. M., et al. (1997). "Toward an understanding of the behavioral intention to use an information system." Decision sciences 28(2): 357-389.

[27] Jarvenpaa, S. L. (1989). "The effect of task demands and graphical format on information processing strategies." Management science 35(3): 285-303.

[28] Kangas, E. and T. Kinnunen (2005). "Applying user-centered design to mobile application development." Communications of the ACM 48(7): 55-59.

[29] Kim, D. and H. Chang (2007). "Key functional characteristics in designing and operating health information websites for user satisfaction: An application of the extended technology acceptance model." International Journal of Medical Informatics 76(11): 790-800.

[30] Koufaris, M. and W. Hampton-Sosa (2002). "Customer trust online: examining the role of the experience with the Web-site." Department of Statistics and Computer Information Systems Working Paper Series, Zicklin School of Business, Baruch College, New York.

[31] Kratzke, C. and C. Cox (2012). "Smartphone technology and apps: rapidly changing health promotion." Global Journal of Health Education and Promotion 15(1).

[32] Lavie, T. and N. Tractinsky (2004). "Assessing dimensions of perceived visual aesthetics of web sites." International journal of human-computer studies 60(3): 269-298.

[33] Lee Eden, B., et al. (2007). "User interfaces for mobile navigation." Library Hi Tech 25(3): 352-365.

[34] Li, Y.-M. and Y.-S. Yeh (2010). "Increasing trust in mobile commerce through design aesthetics." Computers in Human Behavior 26(4): 673-684.

[35] Lim, S., et al. (2011). "A study on Singaporean women's acceptance of using mobile phones to seek health information." International Journal of Medical Informatics 80(12): e189-e202.

[36] Lin, J. C.-C. and H. Lu (2000). "Towards an understanding of the behavioural intention to use a web site." International journal of information management 20(3): 197-208.

[37] Lindgaard, G. (2007). "Aesthetics, visual appeal, usability and user satisfaction: what do the user's eyes tell the user's brain?" Australian Journal of Emerging Technologies & Society 5(1).

[38] Liu, C. and K. P. Arnett (2000). "Exploring the factors associated with Web site success in the context of electronic commerce." Information & management 38(1): 23-33.

[39] Liu, C., et al. (2011). "Status and trends of mobile-health applications for iOS devices: A developer's perspective." Journal of Systems and Software 84(11): 2022-2033.

[40] Luxton, D. D., et al. (2011). "mHealth for mental health: Integrating smartphone technology in behavioral healthcare." Professional Psychology: Research and Practice 42(6): 505.

[41] Maister, D. (1985). The psychology of waiting lines. JA Czepiel, MR Solomon, CF Surprenant, eds., The Service Encounter: Managing Employee/Customer Interaction in Service Businesses. Lexington, MA: DC Heath and Company, Lexington Books.

[42] Mathieson, K. (1991). "Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior." Information systems research 2(3): 173-191.

[43] McCurdie, T., et al. (2012). "mHealth consumer apps: the case for user-centered design." Biomedical Instrumentation & Technology 46(s2): 49-56.

[44] McDougall, G. H. and T. Levesque (2000). "Customer satisfaction with services: putting perceived value into the equation." Journal of services marketing 14(5): 392-410.

[45] McKinney, V., et al. (2002). "The measurement of web-customer satisfaction: An expectation and disconfirmation approach." Information systems research 13(3): 296-315.

[46] Miller, J. and B. A. Doyle (1987). "Measuring the effectiveness of computer-based information systems in the financial services sector." MIS quarterly: 107-124.

[47] Moon, J.-W. and Y.-G. Kim (2001). "Extending the TAM for a World-Wide-Web context." Information & management 38(4): 217-230.

[48] Norman, G. R., et al. (2003). "Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation." Medical care 41(5): 582-592.

[49] Oliver, R. L. (1980). "A cognitive model of the antecedents and consequences of satisfaction decisions." Journal of marketing research: 460-469.

[50] Oliver, R. L., et al. (1997). "Customer delight: foundations, findings, and managerial insight." Journal of retailing 73(3): 311-336.

[51] Palvia, P. (2009). "The role of trust in e-commerce relational exchange: A unified model." Information & management 46(4): 213-220.

[52] Rai, A., et al. (2002). "Assessing the validity of IS success models: An empirical test and theoretical analysis." Information systems research 13(1): 50-69.

[53] Sackl, A., et al. (2012). The QoE alchemy: turning quality into money. Experiences with a refined methodology for the evaluation of willingness-to-pay for service quality. Quality of Multimedia Experience (QoMEX), 2012 Fourth International Workshop on, IEEE.

[54] Sarker, S. and J. D. Wells (2003). "Understanding mobile handheld device use and adoption." Communications of the ACM 46(12): 35-40.

[55] Schweitzer, J. and C. Synowiec (2012). "The economics of eHealth and mHealth." Journal of health communication 17(sup1): 73-81.

[56] Seddon, P. and S.-K. Yip (1992). "An empirical evaluation of user information satisfaction (UIS) measures for use with general ledger accounting software." Journal of Information Systems 6(1): 75-92.

[57] Seddon, P. B. (1997). "A respecification and extension of the DeLone and McLean model of IS success." Information systems research 8(3): 240-253.

[58] Srinivasan, A. (1985). "Alternative measures of system effectiveness: associations and implications." MIS quarterly: 243-253.

[59] Strohmeier, D., et al. (2012). Toward task-dependent evaluation of web-QoE: Free exploration vs.“who ate what?”. 2012 IEEE Globecom Workshops, IEEE.

[60] Szajna, B. (1996). "Empirical evaluation of the revised technology acceptance model." Management science 42(1): 85-92.

[61] Tarasewich, P. (2003). "Wireless devices for mobile commerce: user interface design and usability." Mobile commerce: technology, theory, and applications: 26-50.

[62] Taylor, S. and P. A. Todd (1995). "Understanding information technology usage: A test of competing models." Information systems research 6(2): 144-176.

[63] Thong, J. Y., et al. (2002). "Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context, and individual differences?" International journal of human-computer studies 57(3): 215-242.

[64] Tractinsky, N., et al. (2000). "What is beautiful is usable." Interacting with computers 13(2): 127-145.

[65] Tung, F.-C., et al. (2008). "An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry." International Journal of Medical Informatics 77(5): 324-335.

[66] Turel, O. and A. Serenko (2006). "Satisfaction with mobile services in Canada: An empirical investigation." Telecommunications policy 30(5): 314-331.

[67] Venkatesh, V. and F. D. Davis (1996). "A model of the antecedents of perceived ease of use: Development and test." Decision sciences 27(3): 451-481.

[68] Venkatesh, V. and F. D. Davis (2000). "A theoretical extension of the technology acceptance model: Four longitudinal field studies." Management science 46(2): 186-204.

[69] Wang, R. Y. and D. M. Strong (1996). "Beyond accuracy: What data quality means to data consumers." Journal of management information systems 12(4): 5-33.

[70] Yasini, M. and G. Marchand (2014). "Toward a use case based classification of mobile health applications." Studies in health technology and informatics 210: 175-179.


[71] 資策會，「智慧型行動裝置普及率近7成 市場即將飽和！資策會FIND：行動族群半年增加逾100萬人、全臺滑世代破1,432萬」，http://www.find.org.tw/market_info.aspx?n_ID=8303，取用日期：2016年4月22日