Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 探討電商平台應用不同動態循環圖形對消費者之等待忍受度的影響
Exploring the influence of different loop motion graphics applied on e-commerce platform on consumers` waiting tolerance
作者 黃宥穎
Huang, Yu-Ying
貢獻者 鄭霈絨<br>廖峻鋒
Cheng, Pei-Jung<br>Liao, Chun-Feng
黃宥穎
Huang, Yu-Ying
關鍵詞 使用者經驗
回饋延遲
動態圖形
等待忍受度
電子商務平台
User experience
Delayed feedback
Motion graphics
Waiting time tolerance
E-commerce
日期 2022
上傳時間 5-Oct-2022 09:26:35 (UTC+8)
摘要 本研究為了解行動裝置上電子商務平台的消費者當發生用戶端網路延遲時,在等待介面應用不同類型的動態圖形指示器,是否影響他們的等待忍受度,以及會產生如何相對的情緒感受與使用者行為。因此,根據動態圖形的組成要素,設定「無提供指示器」、「環狀線形逆時鐘」、「環狀線形逆時鐘」、「方狀線形順時鐘」、「特色S字型線形」與「特色U字型線形」等指示器為樣本,記錄等待忍受時間與使用行為,並以開放式填答問卷調查等待過程中的情緒感受、行為動機、認知感受等資料,對等待忍受度與情緒進行深入探討。本研究採受試者間設計,招募180位年齡介於20至29歲的族群參與本研究實驗,分別調查消費者對六種樣本的等待忍受度與情緒差異。
研究結果顯示:(1)在搜尋頁面中提供指示器,能夠讓消費者願意停留在搜尋頁面更久的時間;(2)較常見的「環狀線形順時鐘」指示器確實更能讓消費者忍受等待,顯示目前常用的線上等待指示器是能夠提高消費者的等待忍受度;(3)行動裝置使用者的等待忍受時間約介於15至27秒之間,較一般電腦使用者有更高的等待忍受度;(4)等待忍受的過程中,消費者們感受最強烈的是「不確定」的情緒;(5)在行動裝置的電商平台上發生網路延遲的情境下,消費者多會以「滑動螢幕」的行為來反應對等待的不耐。
The study investigates how different types of motion graphic indicators on the e-commerce interface of a mobile phone during the waiting process affects the waiting tolerance of consumers while they are experiencing client network latency, and what kind of emotion and user behaviors they will have. Therefore, based on the components of the motion graphics, the study design six different indicators as research samples, including "no indicator", "circular linear clockwise", "circular linear anticlockwise", "square linear clockwise", "S-shaped linear" and "U-shaped linear", to record the consumers’ waiting tolerance time and their behaviors, and understand their emotions behavioral motivation and cognition during the waiting process through questionnaire with open-ended questions. In this study, 180 people aged between 20 and 29 years old were recruited to participate in the experiment.
The result shows that: (1) Providing indicators on searching pages of an e-commerce interface can make consumers stay longer on the page; (2) The common "circular linear clock" indicator is more tolerable for consumers to wait, indicating that the current common online waiting indicators do improve consumers` waiting tolerance; (3) The waiting tolerance time of the mobile device users is about 15 to 27 seconds, which is higher than the personal computer users; (4) "Uncertainty" is the strongest emotion that consumers felt during the waiting process; (5) In the case of network delay on an e-commerce platform of the mobile device, consumers tend to "slide the screen" frequently for reacting to the impatience of waiting situation.
參考文獻 中文部分
王莞甯(2021)·網購行為調查蝦皮使用率居冠、PChome單筆消費金額最高·Anue鉅亨網。https://news.cnyes.com/news/id/4648543
未來流通研究所. (2020). 【產業競爭地圖】台灣電商集團生活服務生態圈布局. 未來流通研究所。https://www.mirai.com.tw/taiwan-ecommerce-industry-competition-map/
安吉(2019)·網站速度是電商的新競爭戰場·億恩網。https://www.ennews.com/article-11269-1.html
江品萱(2017)·災害警示圖像符號之動態設計研究。https://hdl.handle.net/11296/3vaxx5
郁道琦(2005)·形與色的視覺錯視與實驗研究-以維克多・瓦沙雷利(Victor Vasarely) 作品為例·崑山科技大學學報, 1(1), 55-65。https://doi.org/10.6828/KSU.2005.00038
陳曉儒(2005)·從語意轉換觀點談圖像符號設計之研究—以觀光資源項目為例。 https://hdl.handle.net/11296/7bng5y
陳瀚凱(2014)·動態圖像在動作特徵與審美性因子關係上之研究·設計學報(Journal of Design), 19(4), 1-20。https://doi.org/10.6381/JD
創市際市場研究顧問公司(2022)·IX市調解析2020至2021年台灣網路行為趨勢觀察與比較·創市際雙週刊第一九三期, 11。https://www.ixresearch.com/wp-content/uploads/2022/02/InsightXplorer-Biweekly-Report_20220215.pdf
蘇文清、嚴貞、李傳房(2007)·符號學與認知心理學基礎理論於視覺設計之運用研究-以“標誌設計”為例·Journal of Humanities and Social Sciences, 3(1), 95-104。https://doi.org/10.7118/JHSS.200706.0095
Wang, G. T. (2022)·網路的延遲(Latency)與頻寬(Bandwidth)是什麼? G.T.Wang。https://blog.gtwang.org/web-development/network-lantency-and-bandwidth/
Koffka, K. (2000)·格式塔心理學原理 (黎煒譯)·昭明出版社。(原著出版於1935)

英文部分
Agarwal, R., & Karahanna, E. (2000). Time flies when you`re having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694. https://doi.org/10.2307/3250951
Akamai. (2017). The State of Online Retail Performance. Akamai. https://www.akamai.com/newsroom/press-release/akamai-releases-spring-2017-state-of-online-retail-performance-report
Amer, T., & Johnson, T. L. (2016). Information technology progress indicators: temporal expectancy, user preference, and the perception of process duration. International Journal of Technology and Human Interaction (IJTHI), 12(4), 1-14. https://www.igi-global.com/article/information-technology-progress-indicators/162752
Arapakis, I., Bai, X., & Cambazoglu, B. B. (2014). Impact of response latency on user behavior in web search. Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval.
Arapakis, I., Park, S., & Pielot, M. (2021). Impact of Response Latency on User Behaviour in Mobile Web Search. Proceedings of the 2021 Conference on Human Information Interaction and Retrieval.
Bai, X., & Cambazoglu, B. B. (2019). Impact of response latency on sponsored search. Information Processing & Management, 56(1), 110-129.
Barnes, S. R. (2016). Studies in the Efficacy of Motion Graphics: The Effects of Complex Animation on the Exposition Offered by Motion Graphics. Animation, 11(2), 146-168. https://doi.org/10.1177/1746847716637823
Barreda-Ángeles, M., Arapakis, I., Bai, X., Cambazoglu, B. B., & Pereda-Baños, A. (2015). Unconscious physiological effects of search latency on users and their click behaviour. Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Basalla, M., Schneider, J., Luksik, M., Jaakonmäki, R., & Vom Brocke, J. (2021). On Latency of E-Commerce Platforms. Journal of Organizational Computing and Electronic Commerce, 31(1), 1-17.
Brown, S. W. (1995). Time, change, and motion: The effects of stimulus movement on temporal perception. Perception & psychophysics, 57, 105-116.
Carra, E., Santoni, C., & Pellacini, F. (2019). Grammar-based procedural animations for motion graphics. Computers & Graphics, 78, 97-107. https://doi.org/10.1016/j.cag.2018.11.007
Chen, C.-H., & Li, S. (2020). The effect of visual feedback types on the wait indicator interface of a mobile application. Displays, 61, 101928.
Cooke, A. D., & Munichor, N. (2011). Hate the Wait? Why Customers Who Wait Longer Buy More. ACR North American Advances. https://www.acrwebsite.org/volumes/v38/acr_v38_16042.pdf
Diniz, C. d. P. S., & de Medeiros Moreira, E. C. (2015). Internet and Social Networks: On the Need to Be Online. Psychology, 6(05), 521.
Durrande‐Moreau, A. (1999). Waiting for service: ten years of empirical research. International Journal of Service Industry Management.
KEMP, S. (2021). DIGITAL 2021: TAIWAN. https://datareportal.com/reports/digital-2021-taiwan
Kim, S., Miao, L., & Magnini, V. P. (2016). Consumers’ Emotional Responses and Emotion Regulation Strategies During Multistage Waiting in Restaurants. Journal of Hospitality & Tourism Research, 40(3), 291-318. https://doi.org/10.1177/1096348013495697
Lee, Y. G., Chen, A. N., & Hess, T. (2017). The online waiting experience: Using temporal information and distractors to make online waits feel shorter. Journal of the Association for Information Systems, 18(3), 1.
Li, S., & Chen, C.-H. (2019). The effect of progress indicator speeds on users’ time perceptions and experience of a smartphone user interface. International Conference on Human-Computer Interaction.
Li, Y., Liu, C., Ji, M., & You, X. (2021). Shape of progress bar effect on subjective evaluation, duration perception and physiological reaction. International Journal of Industrial Ergonomics, 81, 103031.
Liang, C.-C. (2019). Enjoyable queuing and waiting time. Time & Society, 28(2), 543-566.
Liang, C.-C., & Hsu, C.-C. (2011). Questionnaire design for finding the causes of join a waiting line in the service industry. 2011 International Conference on Computer Science and Service System (CSSS).
Lohr, S. (2012). For impatient web users, an eye blink is just too long to wait. New York Times(February 29).
Luo, H., Wang, J., Han, X., & Zeng, D. (2015). The impact of filler interface on online users` perceived waiting time. 2015 12th International Conference on Service Systems and Service Management (ICSSSM).
Maister, D. H. (1984). The psychology of waiting lines. Harvard Business School Boston.
Material-Design. (2014). Progress indicators. Google. Retrieved 03.24 from https://material.io/components/progress-indicators
Miller, R. B. (1967). Response Time in Man-Computer Conversational. Transactions, 267.
Miller, R. B. (1968). Response time in man-computer conversational transactions. Proceedings of the December 9-11, 1968, fall joint computer conference, part I.
Mital, M. (2014). ZERO PATIENCE, ZERO WAIT: THE REALITY OF ONLINE TRAVEL SHOPPING. Tnooz. https://www.phocuswire.com/Zero-patience-zero-wait-the-reality-of-online-travel-shopping
Nah, F. F.-H. (2004). A study on tolerable waiting time: how long are web users willing to wait? Behaviour & Information Technology, 23(3), 153-163.
Niranjanamurthy, M., Kavyashree, N., Jagannath, S., & Chahar, D. (2013). Analysis of e-commerce and m-commerce: advantages, limitations and security issues. International Journal of Advanced Research in Computer and Communication Engineering, 2(6), 2360-2370.
Ohtsubo, M., & Yoshida, K. (2014). How does shape of progress bar effect on time evaluation. 2014 International Conference on Intelligent Networking and Collaborative Systems.
Peña-López, I. (2012). OECD internet economy outlook 2012.
Raphaeli, O., Goldstein, A., & Fink, L. (2017). Analyzing online consumer behavior in mobile and PC devices: A novel web usage mining approach. Electronic commerce research and applications, 26, 1-12.
Ryan, G., & Valverde, M. (2006). Waiting in line for online services: a qualitative study of the user`s perspective. Information Systems Journal, 16(2), 181-211.
Shchytko, Y. (2018). Making the time shorter: How Temporal and Distractor Cues Affect the Perceived Waiting Time in Online Environment University of Twente].
Song, G. (2021). Application of Motion Graphics in Visual Communication Design. Journal of Physics: Conference Series.
Suleiman, A. S. (2017). Stop Using A Loading Spinner, There’s Something Better. Retrieved 0509 from https://uxdesign.cc/stop-using-a-loading-spinner-theres-something-better-d186194f771e
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285. https://doi.org/10.1016/0364-0213(88)90023-7
Sweller, J. (2010). Cognitive load theory: Recent theoretical advances. https://doi.org/10.1017/CBO9780511844744.004
Tangmanee, C., & Wisansirikul, S. (2021). User’s Perception of Delay: An Experiment Using Progress Indicators. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
Taylor, N. J., Dennis, A. R., & Cummings, J. W. (2013). Situation normality and the shape of search: The effects of time delays and information presentation on search behavior. Journal of the American Society for Information Science and Technology, 64(5), 909-928.
Worlitz, J., Vu, D. L., Hettling, L., & Woll, R. (2019). Perceived Waiting Time and Waiting Satisfaction: a Systematic Literature Review.
Zakay, D., & Block, R. A. (1995). An attentional-gate model of prospective time estimation. Time and the dynamic control of behavior, 5, 167-178.
Zhao, W., Ge, Y., Qu, W., Zhang, K., & Sun, X. (2017). The duration perception of loading applications in smartphone: Effects of different loading types. Applied ergonomics, 65, 223-232. https://www.sciencedirect.com/science/article/pii/S0003687017301485?via%3Dihub
描述 碩士
國立政治大學
數位內容碩士學位學程
109462010
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109462010
資料類型 thesis
dc.contributor.advisor 鄭霈絨<br>廖峻鋒zh_TW
dc.contributor.advisor Cheng, Pei-Jung<br>Liao, Chun-Fengen_US
dc.contributor.author (Authors) 黃宥穎zh_TW
dc.contributor.author (Authors) Huang, Yu-Yingen_US
dc.creator (作者) 黃宥穎zh_TW
dc.creator (作者) Huang, Yu-Yingen_US
dc.date (日期) 2022en_US
dc.date.accessioned 5-Oct-2022 09:26:35 (UTC+8)-
dc.date.available 5-Oct-2022 09:26:35 (UTC+8)-
dc.date.issued (上傳時間) 5-Oct-2022 09:26:35 (UTC+8)-
dc.identifier (Other Identifiers) G0109462010en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/142171-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 數位內容碩士學位學程zh_TW
dc.description (描述) 109462010zh_TW
dc.description.abstract (摘要) 本研究為了解行動裝置上電子商務平台的消費者當發生用戶端網路延遲時,在等待介面應用不同類型的動態圖形指示器,是否影響他們的等待忍受度,以及會產生如何相對的情緒感受與使用者行為。因此,根據動態圖形的組成要素,設定「無提供指示器」、「環狀線形逆時鐘」、「環狀線形逆時鐘」、「方狀線形順時鐘」、「特色S字型線形」與「特色U字型線形」等指示器為樣本,記錄等待忍受時間與使用行為,並以開放式填答問卷調查等待過程中的情緒感受、行為動機、認知感受等資料,對等待忍受度與情緒進行深入探討。本研究採受試者間設計,招募180位年齡介於20至29歲的族群參與本研究實驗,分別調查消費者對六種樣本的等待忍受度與情緒差異。
研究結果顯示:(1)在搜尋頁面中提供指示器,能夠讓消費者願意停留在搜尋頁面更久的時間;(2)較常見的「環狀線形順時鐘」指示器確實更能讓消費者忍受等待,顯示目前常用的線上等待指示器是能夠提高消費者的等待忍受度;(3)行動裝置使用者的等待忍受時間約介於15至27秒之間,較一般電腦使用者有更高的等待忍受度;(4)等待忍受的過程中,消費者們感受最強烈的是「不確定」的情緒;(5)在行動裝置的電商平台上發生網路延遲的情境下,消費者多會以「滑動螢幕」的行為來反應對等待的不耐。
zh_TW
dc.description.abstract (摘要) The study investigates how different types of motion graphic indicators on the e-commerce interface of a mobile phone during the waiting process affects the waiting tolerance of consumers while they are experiencing client network latency, and what kind of emotion and user behaviors they will have. Therefore, based on the components of the motion graphics, the study design six different indicators as research samples, including "no indicator", "circular linear clockwise", "circular linear anticlockwise", "square linear clockwise", "S-shaped linear" and "U-shaped linear", to record the consumers’ waiting tolerance time and their behaviors, and understand their emotions behavioral motivation and cognition during the waiting process through questionnaire with open-ended questions. In this study, 180 people aged between 20 and 29 years old were recruited to participate in the experiment.
The result shows that: (1) Providing indicators on searching pages of an e-commerce interface can make consumers stay longer on the page; (2) The common "circular linear clock" indicator is more tolerable for consumers to wait, indicating that the current common online waiting indicators do improve consumers` waiting tolerance; (3) The waiting tolerance time of the mobile device users is about 15 to 27 seconds, which is higher than the personal computer users; (4) "Uncertainty" is the strongest emotion that consumers felt during the waiting process; (5) In the case of network delay on an e-commerce platform of the mobile device, consumers tend to "slide the screen" frequently for reacting to the impatience of waiting situation.
en_US
dc.description.tableofcontents 謝辭 I
摘要 II
ABSTRACT III
目次 I
表次 III
圖次 V
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與問題 2
第三節 研究流程與步驟 3
第四節 研究範圍與限制 4
第二章 文獻探討 6
第一節 線上等待忍受度 6
第二節 等待介面的動態圖形 12
第三節 搜尋回饋延遲的等待 29
第四節 小結 32
第三章 研究設計 34
第一節 實驗流程與步驟 35
第二節 等待忍受度研究假設與變項設定 43
第三節 研究工具 53
第四節 資料分析 55
第四章 研究結果與討論 58
第一節 前測結果分析 58
第二節 使用者等待忍受度研究假設檢定 62
第三節 使用者等待情緒 66
第四節 使用者行為 68
第五節 使用者開放式填答結果 69
第六節 綜合討論 80
第五章 研究結論與建議 87
第一節 研究結論 87
第二節 未來研究建議 88
參考文獻 89
附錄一 情緒量表與忍受度開放式填答問卷 96
附錄二 實驗參與者知情同意書 98
附錄三 等待忍受度分析結果 100
附錄四 等待情緒分析結果 107
zh_TW
dc.format.extent 5507957 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109462010en_US
dc.subject (關鍵詞) 使用者經驗zh_TW
dc.subject (關鍵詞) 回饋延遲zh_TW
dc.subject (關鍵詞) 動態圖形zh_TW
dc.subject (關鍵詞) 等待忍受度zh_TW
dc.subject (關鍵詞) 電子商務平台zh_TW
dc.subject (關鍵詞) User experienceen_US
dc.subject (關鍵詞) Delayed feedbacken_US
dc.subject (關鍵詞) Motion graphicsen_US
dc.subject (關鍵詞) Waiting time toleranceen_US
dc.subject (關鍵詞) E-commerceen_US
dc.title (題名) 探討電商平台應用不同動態循環圖形對消費者之等待忍受度的影響zh_TW
dc.title (題名) Exploring the influence of different loop motion graphics applied on e-commerce platform on consumers` waiting toleranceen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 中文部分
王莞甯(2021)·網購行為調查蝦皮使用率居冠、PChome單筆消費金額最高·Anue鉅亨網。https://news.cnyes.com/news/id/4648543
未來流通研究所. (2020). 【產業競爭地圖】台灣電商集團生活服務生態圈布局. 未來流通研究所。https://www.mirai.com.tw/taiwan-ecommerce-industry-competition-map/
安吉(2019)·網站速度是電商的新競爭戰場·億恩網。https://www.ennews.com/article-11269-1.html
江品萱(2017)·災害警示圖像符號之動態設計研究。https://hdl.handle.net/11296/3vaxx5
郁道琦(2005)·形與色的視覺錯視與實驗研究-以維克多・瓦沙雷利(Victor Vasarely) 作品為例·崑山科技大學學報, 1(1), 55-65。https://doi.org/10.6828/KSU.2005.00038
陳曉儒(2005)·從語意轉換觀點談圖像符號設計之研究—以觀光資源項目為例。 https://hdl.handle.net/11296/7bng5y
陳瀚凱(2014)·動態圖像在動作特徵與審美性因子關係上之研究·設計學報(Journal of Design), 19(4), 1-20。https://doi.org/10.6381/JD
創市際市場研究顧問公司(2022)·IX市調解析2020至2021年台灣網路行為趨勢觀察與比較·創市際雙週刊第一九三期, 11。https://www.ixresearch.com/wp-content/uploads/2022/02/InsightXplorer-Biweekly-Report_20220215.pdf
蘇文清、嚴貞、李傳房(2007)·符號學與認知心理學基礎理論於視覺設計之運用研究-以“標誌設計”為例·Journal of Humanities and Social Sciences, 3(1), 95-104。https://doi.org/10.7118/JHSS.200706.0095
Wang, G. T. (2022)·網路的延遲(Latency)與頻寬(Bandwidth)是什麼? G.T.Wang。https://blog.gtwang.org/web-development/network-lantency-and-bandwidth/
Koffka, K. (2000)·格式塔心理學原理 (黎煒譯)·昭明出版社。(原著出版於1935)

英文部分
Agarwal, R., & Karahanna, E. (2000). Time flies when you`re having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694. https://doi.org/10.2307/3250951
Akamai. (2017). The State of Online Retail Performance. Akamai. https://www.akamai.com/newsroom/press-release/akamai-releases-spring-2017-state-of-online-retail-performance-report
Amer, T., & Johnson, T. L. (2016). Information technology progress indicators: temporal expectancy, user preference, and the perception of process duration. International Journal of Technology and Human Interaction (IJTHI), 12(4), 1-14. https://www.igi-global.com/article/information-technology-progress-indicators/162752
Arapakis, I., Bai, X., & Cambazoglu, B. B. (2014). Impact of response latency on user behavior in web search. Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval.
Arapakis, I., Park, S., & Pielot, M. (2021). Impact of Response Latency on User Behaviour in Mobile Web Search. Proceedings of the 2021 Conference on Human Information Interaction and Retrieval.
Bai, X., & Cambazoglu, B. B. (2019). Impact of response latency on sponsored search. Information Processing & Management, 56(1), 110-129.
Barnes, S. R. (2016). Studies in the Efficacy of Motion Graphics: The Effects of Complex Animation on the Exposition Offered by Motion Graphics. Animation, 11(2), 146-168. https://doi.org/10.1177/1746847716637823
Barreda-Ángeles, M., Arapakis, I., Bai, X., Cambazoglu, B. B., & Pereda-Baños, A. (2015). Unconscious physiological effects of search latency on users and their click behaviour. Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Basalla, M., Schneider, J., Luksik, M., Jaakonmäki, R., & Vom Brocke, J. (2021). On Latency of E-Commerce Platforms. Journal of Organizational Computing and Electronic Commerce, 31(1), 1-17.
Brown, S. W. (1995). Time, change, and motion: The effects of stimulus movement on temporal perception. Perception & psychophysics, 57, 105-116.
Carra, E., Santoni, C., & Pellacini, F. (2019). Grammar-based procedural animations for motion graphics. Computers & Graphics, 78, 97-107. https://doi.org/10.1016/j.cag.2018.11.007
Chen, C.-H., & Li, S. (2020). The effect of visual feedback types on the wait indicator interface of a mobile application. Displays, 61, 101928.
Cooke, A. D., & Munichor, N. (2011). Hate the Wait? Why Customers Who Wait Longer Buy More. ACR North American Advances. https://www.acrwebsite.org/volumes/v38/acr_v38_16042.pdf
Diniz, C. d. P. S., & de Medeiros Moreira, E. C. (2015). Internet and Social Networks: On the Need to Be Online. Psychology, 6(05), 521.
Durrande‐Moreau, A. (1999). Waiting for service: ten years of empirical research. International Journal of Service Industry Management.
KEMP, S. (2021). DIGITAL 2021: TAIWAN. https://datareportal.com/reports/digital-2021-taiwan
Kim, S., Miao, L., & Magnini, V. P. (2016). Consumers’ Emotional Responses and Emotion Regulation Strategies During Multistage Waiting in Restaurants. Journal of Hospitality & Tourism Research, 40(3), 291-318. https://doi.org/10.1177/1096348013495697
Lee, Y. G., Chen, A. N., & Hess, T. (2017). The online waiting experience: Using temporal information and distractors to make online waits feel shorter. Journal of the Association for Information Systems, 18(3), 1.
Li, S., & Chen, C.-H. (2019). The effect of progress indicator speeds on users’ time perceptions and experience of a smartphone user interface. International Conference on Human-Computer Interaction.
Li, Y., Liu, C., Ji, M., & You, X. (2021). Shape of progress bar effect on subjective evaluation, duration perception and physiological reaction. International Journal of Industrial Ergonomics, 81, 103031.
Liang, C.-C. (2019). Enjoyable queuing and waiting time. Time & Society, 28(2), 543-566.
Liang, C.-C., & Hsu, C.-C. (2011). Questionnaire design for finding the causes of join a waiting line in the service industry. 2011 International Conference on Computer Science and Service System (CSSS).
Lohr, S. (2012). For impatient web users, an eye blink is just too long to wait. New York Times(February 29).
Luo, H., Wang, J., Han, X., & Zeng, D. (2015). The impact of filler interface on online users` perceived waiting time. 2015 12th International Conference on Service Systems and Service Management (ICSSSM).
Maister, D. H. (1984). The psychology of waiting lines. Harvard Business School Boston.
Material-Design. (2014). Progress indicators. Google. Retrieved 03.24 from https://material.io/components/progress-indicators
Miller, R. B. (1967). Response Time in Man-Computer Conversational. Transactions, 267.
Miller, R. B. (1968). Response time in man-computer conversational transactions. Proceedings of the December 9-11, 1968, fall joint computer conference, part I.
Mital, M. (2014). ZERO PATIENCE, ZERO WAIT: THE REALITY OF ONLINE TRAVEL SHOPPING. Tnooz. https://www.phocuswire.com/Zero-patience-zero-wait-the-reality-of-online-travel-shopping
Nah, F. F.-H. (2004). A study on tolerable waiting time: how long are web users willing to wait? Behaviour & Information Technology, 23(3), 153-163.
Niranjanamurthy, M., Kavyashree, N., Jagannath, S., & Chahar, D. (2013). Analysis of e-commerce and m-commerce: advantages, limitations and security issues. International Journal of Advanced Research in Computer and Communication Engineering, 2(6), 2360-2370.
Ohtsubo, M., & Yoshida, K. (2014). How does shape of progress bar effect on time evaluation. 2014 International Conference on Intelligent Networking and Collaborative Systems.
Peña-López, I. (2012). OECD internet economy outlook 2012.
Raphaeli, O., Goldstein, A., & Fink, L. (2017). Analyzing online consumer behavior in mobile and PC devices: A novel web usage mining approach. Electronic commerce research and applications, 26, 1-12.
Ryan, G., & Valverde, M. (2006). Waiting in line for online services: a qualitative study of the user`s perspective. Information Systems Journal, 16(2), 181-211.
Shchytko, Y. (2018). Making the time shorter: How Temporal and Distractor Cues Affect the Perceived Waiting Time in Online Environment University of Twente].
Song, G. (2021). Application of Motion Graphics in Visual Communication Design. Journal of Physics: Conference Series.
Suleiman, A. S. (2017). Stop Using A Loading Spinner, There’s Something Better. Retrieved 0509 from https://uxdesign.cc/stop-using-a-loading-spinner-theres-something-better-d186194f771e
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285. https://doi.org/10.1016/0364-0213(88)90023-7
Sweller, J. (2010). Cognitive load theory: Recent theoretical advances. https://doi.org/10.1017/CBO9780511844744.004
Tangmanee, C., & Wisansirikul, S. (2021). User’s Perception of Delay: An Experiment Using Progress Indicators. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
Taylor, N. J., Dennis, A. R., & Cummings, J. W. (2013). Situation normality and the shape of search: The effects of time delays and information presentation on search behavior. Journal of the American Society for Information Science and Technology, 64(5), 909-928.
Worlitz, J., Vu, D. L., Hettling, L., & Woll, R. (2019). Perceived Waiting Time and Waiting Satisfaction: a Systematic Literature Review.
Zakay, D., & Block, R. A. (1995). An attentional-gate model of prospective time estimation. Time and the dynamic control of behavior, 5, 167-178.
Zhao, W., Ge, Y., Qu, W., Zhang, K., & Sun, X. (2017). The duration perception of loading applications in smartphone: Effects of different loading types. Applied ergonomics, 65, 223-232. https://www.sciencedirect.com/science/article/pii/S0003687017301485?via%3Dihub
zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202201556en_US