研究生: |
Hardian Kokoh Pambudi Hardian Kokoh Pambudi |
---|---|
論文名稱: |
基於物聯網與說服性科技開發網路應用程式以提高學生對於使用能源的意識 Developing Web Application based on Internet of Things (IoT) and Persuasive Technology to Increase Student Awareness of Energy Usage |
指導教授: |
周碩彥
Shuo-Yan Chou 郭伯勳 Po-Hsun Kuo |
口試委員: |
鄭瑞光
Ray-Guang Cheng |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 英文 |
論文頁數: | 53 |
中文關鍵詞: | 基於網站的應用 、物聯網 、說服技術 、學生意識 、能量減少 |
外文關鍵詞: | web-based application, Internet of Things, Persuasive Technology, student awareness, energy reduction |
相關次數: | 點閱:287 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
Building electricity consumption contributes high portion of total energy consumed in the word. The electricity usage in educational buildings is highly depend on the behavior of the students, driven by a variety of factors, such as lifestyles and habits. But there is an opportunity to reduce electricity consumed by implementing Internet of Things (IoT) and Persuasive Technology. This thesis describes the development of persuasive web application that aims to increase student awareness in using energy. Other objective is to see and compare which principles in persuasive technology are more effective. The experiment involved 21 students divided by 3 groups as participant. Smart plug was installed on their computer to monitor their energy usage. Each group was shown different kind of web application displays to see the effect of different principles employed by those displays. Beside a quantitative analysis by calculating energy saving during experiment, a feedback questionnaire was used to obtain an opinion from participants. The main result of this research is a visible reduction on energy usage during all three phases by average 11,06 %. The highest reduction was obtained by students shown by display that implemented social learning, social comparison, competition, and reward principles.
Building electricity consumption contributes high portion of total energy consumed in the word. The electricity usage in educational buildings is highly depend on the behavior of the students, driven by a variety of factors, such as lifestyles and habits. But there is an opportunity to reduce electricity consumed by implementing Internet of Things (IoT) and Persuasive Technology. This thesis describes the development of persuasive web application that aims to increase student awareness in using energy. Other objective is to see and compare which principles in persuasive technology are more effective. The experiment involved 21 students divided by 3 groups as participant. Smart plug was installed on their computer to monitor their energy usage. Each group was shown different kind of web application displays to see the effect of different principles employed by those displays. Beside a quantitative analysis by calculating energy saving during experiment, a feedback questionnaire was used to obtain an opinion from participants. The main result of this research is a visible reduction on energy usage during all three phases by average 11,06 %. The highest reduction was obtained by students shown by display that implemented social learning, social comparison, competition, and reward principles.
References
[1] E. I. Administration, "International Energy Outlook 2016," U.S. Department of Energy 2016.
[2] C. Fischer, "Feedback on household electricity consumption: a tool for saving energy?," Energy Efficiency, vol. 1, no. 1, pp. 79-104, 2008// 2008.
[3] I. Mundi. (2015, 7 June). Electricity Consumption - Historical Data Graphs per Year. Available: http://www.indexmundi.com/g/g.aspx?v=81&c=tw&l=en
[4] R. Missaoui, H. Joumaa, S. Ploix, and S. Bacha, "Managing energy Smart Homes according to energy prices: Analysis of a Building Energy Management System," Energy and Buildings, vol. 71, pp. 155-167, 3// 2014.
[5] I. Vassileva, E. Dahlquist, F. Wallin, and J. Campillo, "Energy consumption feedback devices’ impact evaluation on domestic energy use," Applied Energy, vol. 106, pp. 314-320, 6// 2013.
[6] Y. Agarwal, T. Weng, and R. K. Gupta, "The energy dashboard: improving the visibility of energy consumption at a campus-wide scale," in Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, 2009, pp. 55-60: ACM.
[7] H.-M. Chen et al., "Persuasive feedback model for inducing energy conservation behaviors of building users based on interaction with a virtual object," Energy and Buildings, vol. 45, pp. 106-115, 2012/02/01/ 2012.
[8] A. Emeakaroha, C. S. Ang, Y. Yan, and T. Hopthrow, "Integrating persuasive technology with energy delegates for energy conservation and carbon emission reduction in a university campus," Energy, vol. 76, pp. 357-374, 11/1/ 2014.
[9] P. Lailly and B. Gardner, "Promoting habit formation," Health Psychology Review, vol. 7, pp. 137-158, 2011.
[10] K. Matsui, H. Ochiai, and Y. Yamagata, "Feedback on electricity usage for home energy management: A social experiment in a local village of cold region," Applied Energy, vol. 120, pp. 159-168, 5/1/ 2014.
[11] B. J. Fogg, "Persuasive technology: using computers to change what we think and do," Ubiquity, vol. 2002, no. December, p. 2, 2002.
[12] H. Oinas-Kukkonen and M. Harjumaa, "Persuasive systems design: Key issues, process model, and system features," Communications of the Association for Information Systems, vol. 24, no. 1, p. 28, 2009.
[13] J. Lopez, R. Rios, F. Bao, and G. Wang, "Evolving privacy: From sensors to the Internet of Things," Future Generation Computer Systems, vol. 75, pp. 46-57, 10// 2017.
[14] M. Nachreiner, B. Mack, E. Matthies, and K. Tampe-Mai, "An analysis of smart metering information systems: A psychological model of self-regulated behavioural change," Energy Research & Social Science, vol. 9, pp. 85-97, 2015/09/01/ 2015.
[15] R. H. Kegel and R. J. Wieringa, "Persuasive technologies: a systematic literature review and application to pisa," 2014.
[16] B. Fogg and H. Tseng, "The elements of computer credibility," in Proceedings of the SIGCHI conference on Human Factors in Computing Systems, 1999, pp. 80-87: ACM.
[17] B. J. Fogg, "Persuasive computers: perspectives and research directions," in Proceedings of the SIGCHI conference on Human factors in computing systems, 1998, pp. 225-232: ACM Press/Addison-Wesley Publishing Co.
[18] B. J. Fogg, "Persuasive technologies," Communications of the ACM, vol. 42, no. 5, pp. 27-29, 1999.
[19] B. J. Fogg, "A behavior model for persuasive design," in Proceedings of the 4th international Conference on Persuasive Technology, 2009, p. 40: ACM.
[20] K. Torning and H. Oinas-Kukkonen, "Persuasive system design: state of the art and future directions," in Proceedings of the 4th international conference on persuasive technology, 2009, p. 30: ACM.
[21] H. Oinas-Kukkonen and M. Harjumaa, "A systematic framework for designing and evaluating persuasive systems," Persuasive technology, pp. 164-176, 2008.
[22] B. Fogg, "A behavior model for persuasive design," presented at the Proceedings of the 4th International Conference on Persuasive Technology, Claremont, California, USA, 2009.
[23] I. Wiafe and K. Nakata, "Bibliographic analysis of persuasive systems: techniques; methods and domains of application," in Persuasive Technology: Design for Health and Safety; The 7th International Conference on Persuasive Technology; PERSUASIVE 2012; Linköping; Sweden; June 6-8; Adjunct Proceedings, 2012, no. 068, pp. 61-64: Linköping University Electronic Press.
[24] I. T. Union, "Overview of the Internet of things," 2015.
[25] P. P. Ray, "A survey on Internet of Things architectures," Journal of King Saud University - Computer and Information Sciences, 2016/10/08/ 2016.
[26] L. Atzori, A. Iera, and G. Morabito, "The Internet of Things: A survey," Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010/10/28/ 2010.
[27] A. Sabbaghi and G. Vaidyanathan, "Effectiveness and efficiency of RFID technology in supply chain management: strategic values and challenges," J. Theor. Appl. Electron. Commer. Res., vol. 3, no. 2, pp. 71-81, 2008.
[28] G. P. Hancke and G. P. Hancke Jr, "The role of advanced sensing in smart cities," Sensors, vol. 13, no. 1, pp. 393-425, 2012.
[29] L. Brown, B. Grundlehner, J. v. d. Molengraft, J. Penders, and B. Gyselinckx, "Body area network for monitoring autonomic nervous system responses," in 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009, pp. 1-3.
[30] D. Foster, S. Lawson, M. Blythe, and P. Cairns, "Wattsup?: motivating reductions in domestic energy consumption using social networks," presented at the Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries, Reykjavik, Iceland, 2010.
[31] J. Mankoff et al., "StepGreen. org: Increasing energy saving behaviors via social networks," in ICWSM, 2010.
[32] P. Petkov, F. Köbler, M. Foth, and H. Krcmar, "Motivating domestic energy conservation through comparative, community-based feedback in mobile and social media," in Proceedings of the 5th International Conference on Communities and Technologies 2011, pp. 21-30: ACM.
[33] L. Gamberini et al., "Tailoring feedback to users’ actions in a persuasive game for household electricity conservation," Persuasive technology. Design for health and safety, pp. 100-111, 2012.
[34] R. Gulbinas, R. K. Jain, and J. E. Taylor, "BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy," Applied Energy, vol. 136, pp. 1076-1084, 12/31/ 2014.
[35] S. Castle. (2011, 26 June). Eragy Offers Free Energy Monitoring Software. Available: http://greentechadvocates.com/2011/06/28/eragy-offers-free-energy-monitoring-software/
[36] Q. Liu, G. Cooper, N. Linge, H. Takruri, and R. Sowden, "DEHEMS: creating a digital environment for large-scale energy management at homes," IEEE Transactions on Consumer Electronics, vol. 59, no. 1, pp. 62-69, 2013.
[37] N. Murtagh et al., "Individual energy use and feedback in an office setting: A field trial," Energy Policy, vol. 62, pp. 717-728, 2013/11/01/ 2013.
[38] S. Few, Information Dashboard Design: The Effective Visual Communication of Data. O'Reilly Media, Inc., 2006.
[39] A. Kamilaris, J. Neovino, S. Kondepudi, and B. Kalluri, "A case study on the individual energy use of personal computers in an office setting and assessment of various feedback types toward energy savings," Energy and Buildings, vol. 104, pp. 73-86, 10/1/ 2015.
[40] J. M. Nolan, P. W. Schultz, R. B. Cialdini, N. J. Goldstein, and V. Griskevicius, "Normative social influence is underdetected," Personality and social psychology bulletin, vol. 34, no. 7, pp. 913-923, 2008.