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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/78059


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/78059


    Title: 購物網站個人化設計的眼動分析
    Personalized Shopping Websites：An Eye Tracking Analysis
    Authors: 邱靖婷
    Chiu, Ching Ting
    Contributors: 梁定澎
    Liang, Ting Peng
    邱靖婷
    Chiu, Ching Ting
    Keywords: 購物網站
    眼動
    個人化
    虛擬
    Shopping Websites
    Eye Tracking
    Personalization
    Avatar
    Date: 2015
    Issue Date: 2015-09-01 16:10:15 (UTC+8)
    Abstract: 本研究使用眼動儀器與神經科學的分析方式，探討網站設計時運用虛擬替身與個人化推薦而設計出不同的個人化購物網站，是否會影響使用者對網站親密度與產品購買意願上有不同感受。研究問題共有三個：1.網站個人化設計對網站親密度的影響程度。2.網站個人化設計對於產品購買意願的影響程度。3.使用者是否會注意到網站的個人化設計。研究結果發現個人化推薦會對網站親密度及購買意願產生正向影響，而虛擬替身則只會對親密感產生正面的影響。虛擬替身及個人化推薦都會提高消費者的對該區域的首次瀏覽時間。
    The purpose of this study is to use eye tracking analysis to investigate whether different designs of shopping websites using personalization and avatar will influence users’ website intimacy and product buying attention. First, we want to know the relationship between personalized design and website intimacy. Second, we want to know the relationship between personalized design and product buying attention. The last one is whether users pay attention to personalized designs on websites. An experiment was conducted to evaluate the effect of personalized recommendation and avatar. The results indicate that personalization had positive impacts on users’ perceived intimacy, and users’ total gaze duration has positive effects on both website intimacy and product buying attention.
    Reference: 一、 中文文獻
    1. 李玉雯、梁定澎，(2009)。個人化客戶服務的感情因素。產業與管理論壇，11(3)，38-51。
    2. 王加元(2008)。對於閱讀的感興趣程度與眼動特徵關係之研究。未出版之學士論文，國立政治大學，資訊科學學系，台北。
    3. 朱映潔(2008)。虛擬銷售員對消費者信任與購買意圖之影響-以產品知識為干擾變數。未出版之學士論文，大同大學，事業經營學系所，台北。
    4. 朱瀅，(2002)。實驗心理學。台北：五南圖書出版股份有限公司。
    5. 呂憶蘭(2008)。虛擬代言人物類型對網路廣告效果影響之研究。未出版博士論文，國立台北大學，企業管理研究所，台北。
    6. 柯華葳、陳明蕾、廖家寧，(2005)。詞頻、詞彙類型與眼球運動型態：來自篇章閱讀的證據。Chinese Journal of Psychology，47(4)，381-398。
    7. 耿慶瑞、丁慧瑩、鄭璧嫻，(2012)。虛擬角色代言人對網路廣告的影響─ 擬社會互動與產品涉入的干擾效果。資訊管理學報，19(2)，439-473。
    8. 陳冠倫(2012)。銀髮族駕駛行為模式分析。未出版之碩士論文，南開科技大學，車輛與機電產業研究所，南投。
    9. 陳學志、賴惠德、邱發忠，(2010)。眼球追蹤技術在學習與教育上的應用。教育科學研究期刊，55(4)，39-68.。
    10. 游朝富(2007)。個人化電子 DM 的產品推薦效果-以親密感為中介變項。未出版之碩士論文，國立中山大學，資訊管理學系，高雄。
    11. 黄宇辰、李峻德，(2007)。電子商務系统影響初始信任感之設計因素探討。資訊社會研究，13，125-166。
    12. 楊璧瑜，(2013)。《線上購物之現況與未來趨勢》。台北市：商業發展研究院。
    13. 周文卿，(2007)。《2007年台灣電子商店發展趨勢》。台北：資策會。
    14. 廖紀瑄(2008)。網路購物目標情境與人際虛擬經驗對社會臨場感與信任度的影響。未出版之碩士論文，國立台北科技大學，商業自動化與管理研究所，台北。
    15. 蔡介立(2000)。從眼動控制探討中文閱讀的訊息處理歷程：應用眼動誘發呈現技術之系列研究。未出版之博士論文，國立政治大學，心理學研究所，台北市。
    16. 賴建都，(2007)。《電視畫面訊息置入位置與認知效果之研究─以購物頻道為例》。台北：行政院國家科學委員會。
    17. 簡郁芩(2006)。以眼動型態探討背景知識對詞彙辨識的影響。未出版之碩士論文，國立中央大學，學習與教學研究所，桃園。
    二、 英文文獻
    1. Abrams, R. A., Meyer, D. E., & Kornblum, S. (1989), Speed and accuracy of saccadic eye movements: Characteristics of impulse variability in the oculomotor system, Journal of Experimental Psychology: Human Perception and Performance, 15(3), 529-543.
    2. Balabanovic, M. and Shoham, Y. (1997): Content-Based, Collaborative recommendation. Communications of ACM, March, vol. 40, no.3, 66-72.
    3. Barber, H.,Janes, I.,Boyland, M.(2004).,ESOMAR.
    4. Bauer, H.B., and Neumann, M.M.(2005), “Investigating The Effects Of Avatars As Virtual Representatives In Electronic Commerce,” ANZMAC 2005 Conference, 26-34.
    5. Baxter, M.(1995).Product Design-Practical Methods for the Systematic Development of New Product. London: Chapman and Hall.
    6. Beatty, J.(1982).Task-evoked pupillary responses, processing load, and the structure of processing resources.Psychological Bulletin, 91(2), 276-292.
    7. Brehm, S.S., Kassin, S., and Fein, S. (2005), Social Psychology (6th ed.). Boston: Houghton Mifflin.
    8. Broadbent, D.E.(1958). Perception and Communication. London: Pergamon.
    9. Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of consumer research, 1-16.
    10. Bull, R., & Rumsey, N. (2012). The social psychology of facial appearance. Springer: Science & Business Media.
    11. Caglayan, A. and Harrison, C.(1997), Agent Sourcebook：A Complete Guide to Desktop, Internet, and Intranet Agents, New York：John Wiley and Sons.
    12. Castagnos, S., Jones, N., & Pu, P. (2010, September). Eye-tracking product recommenders` usage. In Proceedings of the fourth ACM conference on Recommender systems (pp. 29-36). ACM.
    13. Cho, S. (2001). Influence of Consumer Age and Clothing Type of the Salesperson on Consumer Satisfaction with the Salesperson`s Performance.
    14. Choi, C. S., Yun, H., & Kim, K. K. (2009). The Impact of Avatar Appearance and Offline Identity Disclosure on Trust in Virtual Worlds. AMCIS 2009 Proceedings, 270.
    15. Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human images in website design: a multi-method approach. MIS quarterly, 539-566.
    16. D Harrison McKnight, N. L. C. (2001). What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology. International journal of electronic commerce, 6(2), 35-59.
    17. Djamasbi, S., Siegel, M., & Tullis, T. (2010). Generation Y, web design, and eye tracking. International Journal of Human-Computer Studies, 68(5), 307-323.
    18. Djamasbi, S., Siegel, M., Skorinko, J., & Tullis, T. (2011). Online viewing and aesthetic preferences of generation Y and the baby boom generation: testing user web site experience through eye tracking. International Journal of Electronic Commerce, 15(4), 121-158.
    19. Dontje, M. J., & Olthof, C. F. (1999). No trade without trust. Compact, 6(11), 11-21.
    20. Duchowski, A. T. (2007), Eye tracking methodology: Theory and practice (2nd ed.), New York: Springer.
    21. El Aoufi, S. (1999): Risico communiceren op het net: ‘Who’s who’ op het net, in Informer, maart, 9-13.
    22. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995), Consumer Behavior (8thed.), Orlando: The Dryden Press.
    23. Fischer P. M., Richards J. W., Berman E., Krugman D. M. (1989). Recall and eye tracking study of adolescents viewing tobacco advertisements. Journal of the American Medical Association, 261(1), 84–89.
    24. Fox, R. J.,Krugman, D. M.,Fletcher, J. E.,Fischer, P. M.(1998). Adolescents` attention to beer and cigarette print ads and associated product warnings.Journal of Advertising, 27(3), 57-68.
    25. Frazier, M.(2006). How can your package standout, eye tracking looks hard for answers.Advertising Age, 77(42), 14.
    26. Fredrica, R. (1979). Consumer food selection and nutrition information, New York: Praeger.
    27. Fukuda, R., & Bubb, H. (2003). Eye tracking study on Web-use: Comparison between younger and elderly users in case of search task with electronic timetable service. PsychNology Journal, 1(3), 202-228.
    28. Galanxhi, H. & Fui-Hoon Nah, F., (2007). Deception in cyberspace: A comparison of text-only vs. avatar-supported medium. International Journal of Human-Computer Studies, (65:9), 770–783.
    29. Galanxhi, H., & Nah, F. F. H. (2007). Deception in cyberspace: A comparison of text-only vs. avatar-supported medium. International journal of human-computer studies, 65(9), 770-783.
    30. Garretson, J. A., & Niedrich, R. W. (2004). Spokes-characters: Creating character trust and positive brand attitudes. Journal of Advertising, 33(2), 25-36.
    31. Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7.
    32. Giddens, A. (1990), The Consequences of Modernity, Stanford: Stanford Uninversity Press.
    33. Gregory, R. L. (1990), Eye and brain: The psychology of seeing (4th ed.), Princeton, NJ: Princeton University Press.
    34. Grimsley, K. D. (1998). Service with a forced smile: Safeway`s courtesy campaign also elicits some frowns. Washington Post, 18, 230-234.
    35. Haber, R., & Hershenson, M. (1973), The psychology of visual perception, New York: Holt, Rinehart & Winston.
    36. Hans H. Bauer, Marcus M. Nemann (2005), Investigating the Effects of Avatars as Virtual Representatives in Electronic Commerce, ANZMAC 2002 Conference: Electronic Marketing, 26-34.
    37. Henderson, J. M., & Hollingworth, A. (1999). High-level scene perception. Annual review of psychology, 50(1), 243-271.
    38. Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85.
    39. Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The influence of avatars on online consumer shopping behavior. Journal of Marketing, 70(4), 19-36.
    40. Jarvenpaa, S.L., Tractinsky, N. and Vitale, M. (2000), Consumer Trust in An Internet Store, Information Technology and Management, 1-2, 45-71.
    41. Javal, L. E. (1878), Essai sur la physiologie de la lecture, Annales d`Oculistique, 80, 240-274.
    42. Jin, S. A. A., & Bolebruch, J. (2009). Avatar-based advertising in Second Life: The role of presence and attractiveness of virtual spokespersons. Journal of Interactive Advertising, 10(1), 51-60.
    43. Just, M. A., & Carpenter, P. A. (1976). The role of eye-fixation research in cognitive psychology. Behavior Research Methods & Instrumentation, 8(2), 139-143.
    44. Keeling, K., McGoldrick, P., & Beatty, S. (2010). Avatars as salespeople: Communication style, trust, and intentions. Journal of Business Research, 63(8), 793-800.
    45. Komiak, S. X., & Benbasat, I. (2004). Understanding customer trust in agent-mediated electronic commerce, web-mediated electronic commerce, and traditional commerce. Information Technology and Management, 5(1-2), 181-207.
    46. Komiak, S. Y., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. Mis Quarterly, 941-960.
    47. Kotler, P.( 2000),Marketing Management, 10th ed., Upper Saddle River, NJ: Prentice Hall
    48. Kuo, W. J., Sjöström, T., Chen, Y. P., Wang, Y. H., & Huang, C. Y. (2009). Intuition and deliberation: two systems for strategizing in the brain. Science, 324(5926), 519-522.
    49. Langford, R. C. (1936). How People Look at Pictures, A Study of the Psychology of Perception in Art.
    50. Lee, M., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6(1), 75–91.
    51. Liang, T. P., Chen, H. Y., & Turban, E. (2009, August). Effect of personalization on the perceived usefulness of online customer services: A dual-core theory. In Proceedings of the 11th International Conference on Electronic Commerce (pp. 279-288). ACM.
    52. Liang, T. P., Lai, H. J., & Ku, Y. C. (2006). Personalized content recommendation and user satisfaction: Theoretical synthesis and empirical findings. Journal of Management Information Systems, 23(3), 45-70.
    53. Liang, T. P., Li, Y. W., & Turban, E. (2009). Personalized Services as Empathic Responses: the Role of intimacy. PACIS 2009 Proceedings, 73.
    54. Luhmann, N. (2000). Familiarity, confidence, trust: Problems and alternatives. Trust: Making and breaking cooperative relations, 6, 94-107.
    55. Mackworth, N. H., & Morandi, A. J. (1967). The gaze selects informative details within pictures. Perception & Psychophysics, 2(11), 547-552.
    56. McGuire, W. J. (1969). The nature of attitudes and attitude change. The handbook of social psychology, 3(2), 136-314.
    57. Megaw, E. D., & Richardson, J. (1979). Eye movements and industrial inspection. Applied Ergonomics, 10(3), 145-154.
    58. Mittal, B., & Lassar, W. M. (1996). The role of personalization in service encounters. Journal of Retailing, 72(1), 95-109.
    59. Nassiri, N. (2008, March). Increasing trust through the use of 3d e-commerce environment. In Proceedings of the 2008 ACM symposium on Applied computing (pp. 1463-1466). ACM.
    60. Nummenmaa, L., Hyönä, J., & Calvo, M. G. (2009). Emotional scene content drives the saccade generation system reflexively. Journal of Experimental Psychology: Human Perception and Performance, 35(2), 305.
    61. Nummenmaa, L., Hyönä, J., & Calvo, M. G. (2009). Emotional scene content drives the saccade generation system reflexively. Journal of Experimental Psychology: Human Perception and Performance, 35(2), 305.
    62. Palmer, J. W., Bailey, J. P., & Faraj, S. (2000). The role of intermediaries in the development of trust on the WWW: The use and prominence of trusted third parties and privacy statements. Journal of Computer‐Mediated Communication, 5(3), 0-0.
    63. Paluch, J.,Drapeau, T. R.,Marshall, S. P.(2001). New ad designs capture users` eyes: A case study of eye tracking for CNET.Advertising Research Foundation Workshops, Online Research
    64. Pan, B., Hembrooke, H. A., Gay, G. K., Granka, L. A., Feusner, M. K., & Newman, J. K. (2004, March). The determinants of web page viewing behavior: an eye-tracking study. In Proceedings of the 2004 symposium on Eye tracking research & applications (pp. 147-154). ACM.
    65. Partala, T., & Surakka, V. (2003). Pupil size variation as an indication of affective processing. International journal of human-computer studies, 59(1), 185-198.
    66. Qiu, L., & Benbasat, I. (2005). Online consumer trust and live help interfaces: The effects of text-to-speech voice and three-dimensional avatars. International journal of human-computer interaction, 19(1), 75-94.
    67. Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological bulletin, 124(3), 372.
    68. Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. The quarterly journal of experimental psychology, 62(8), 1457-1506.
    69. Rayner, K., & Morrison, R. E. (1981). Eye movements and identifying words in parafoveal vision. Bulletin of the Psychonomic Society, 17(3), 135-138.
    70. Rayner, K., McConkie, G. W., & Zola, D. (1980). Integrating information across eye movements. Cognitive psychology, 12(2), 206-226.
    71. Redmond, W. H. (2002). The potential impact of artificial shopping agents in e‐commerce markets. Journal of Interactive Marketing, 16(1), 56-66.
    72. Rubin, A. M., Perse, E. M., & Powell, R. A. (1985). Loneliness, parasocial interaction, and local television news viewing. Human Communication Research, 12(2), 155-180.
    73. Rubini, D. (2001). Overcoming the paradox of personalization: Building adoption, loyalty, and trust in digital markets. Design Management Journal (Former Series), 12(2), 49-54.
    74. Sanders, M. S., & McCormick, E. J. (1987). Human factors in engineering and design, New York: McGRAW-HILL book company.
    75. Shaffer, B. (1995). Firm-level responses to government regulation: Theoretical and research approaches. Journal of Management, 21(3), 495-514.
    76. Solso, R. L. (1996). Cognition and the visual arts, USA: Massachusetts Institute of Technology.
    77. Stafford, M. R., Stafford, T. F., & Day, E. (2002). A contingency approach: The effects of spokesperson type and service type on service advertising perceptions. Journal of Advertising, 31(2), 17-35.
    78. Stafford, T. F. (1996). Conscious and unconscious processing of priming cues in selling encounters. Journal of Personal Selling & Sales Management, 16(2), 37-44.
    79. Stäudel, T. (1987). Problemlösen, Emotionen und Kompetenz. [Problem solving, emotions and competence], Regensburg, Germany:Roderer.
    80. Sujan, M. (1985). Consumer knowledge: Effects on evaluation strategies mediating consumer judgments. journal of Consumer Research, 31-46.
    81. Surprenant, C. F., & Solomon, M. R. (1987). Predictability and personalization in the service encounter. The Journal of Marketing, 86-96.
    82. Tam, K. Y., & Ho, S. Y. (2005). Web personalization as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271-291.
    83. Tam, K. Y., & Ho, S. Y. (2006). Understanding the impact of web personalization on user information processing and decision outcomes. Mis Quarterly, 865-890.
    84. Tan, Y. H., & Thoen, W. (2002). Formal aspects of a generic model of trust for electronic commerce. Decision Support Systems, 33(3), 233-246.
    85. Treisman, A. M.(1964). Selective attention in man. British Medical Bulletin, 20, 12-16.
    86. Underwood, G. (Ed.). (1998). Eye guidance in reading and scene perception. North-Holland: Elsevier Science.
    87. Urban, G. L., Sultan, F., & Qualls, W. J. (2000). Placing trust at the center of your Internet strategy. Sloan Management Review, 42(1), 39-48.
    88. Van Essen, D. C., Anderson, C. H., & Felleman, D. J. (1992). Information processing in the primate visual system: an integrated systems perspective. Science, 255(5043), 419-423.
    89. Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K. (2007). Can a retail web site be social?. Journal of marketing, 71(3), 143-157.
    90. Williams, L. M., Loughland, C. M., Green, M. J., Harris, A. W., & Gordon, E. (2003). Emotion perception in schizophrenia: an eye movement study comparing the effectiveness of risperidone vs. haloperidol. Psychiatry research, 120(1), 13-27.
    91. Yarbus, A. L. (1967).Eye Movement and Vision. New York: Plenum Press.
    92. Young, L. R., & Sheena, D. (1975). Survey of eye movement recording methods. Behavior research methods & instrumentation, 7(5), 397-429.
    93. Yu, P. S. (1999). Data mining and personalization technologies. In Database Systems for Advanced Applications, 1999. Proceedings., 6th International Conference on (pp. 6-13). IEEE.
    Description: 碩士
    國立政治大學
    資訊管理研究所
    102356033
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102356033
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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