| 研究生: |
洪琇琪 Hung, Xiu-Qi |
|---|---|
| 論文名稱: |
以眼動儀探討知覺流暢性與概念流暢性於東西方消費者之視覺認知差異研究——以電商平台之商品圖片視覺展示為例 Applying Eye-Tracking to Explore the Cross-Cultural Differences in Visual Perception of Perceptual Fluency and Conceptual Fluency on Online Visual Merchandising Design between Eastern and Western Consumers |
| 指導教授: |
丘增平
Chiu, Tseng-Ping |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 英文 |
| 論文頁數: | 312 |
| 中文關鍵詞: | 線上商品視覺展示 、流暢性 、眼動儀 、再認記憶 、文化視覺認知差異 |
| 外文關鍵詞: | online visual merchandising, fluency, eye-tracking, recognition memory, cultural cognition in visual perception |
| 相關次數: | 點閱:4 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 |
本研究探討線上商店「商品圖片展示」之知覺流暢性與概念流暢性,並應用人類記憶模型,了解對於東西方消費者視覺認知與記憶之影響。透過三階段實驗以驗證:在「感官記憶」階段,何種視覺呈現能最有效地吸引觀者的注意力?在「短期記憶」階段,知覺流暢性與概念流暢性又如何降低認知負荷,使資訊更容易被理解並編碼?而在「長期記憶」階段中,流暢性如何協助觀者強化印象並記住產品?此外,東西方消費者的「文化背景」差異如何改變其認知行為。透過探討語境資訊設計的知覺與概念流暢性,建構線上之商品圖片展示設計策略。
知覺流暢性(Perceptual Fluency)是識別刺激物物理特性的速度與準確性,當圖片越複雜,知覺流暢性就越低。概念流暢性(Conceptual Fluency)則為觀者識別刺激物涵義的難易程度,通常與觀者的既有知識、經驗相關,符合觀者過往經驗的資訊具備較高的概念流暢性,能更輕鬆被理解。
本研究將商品圖片展示區分為主體之「產品」與輔助產品說明之「語境資訊(Contextual Information)」。於實驗一之次級資料分析中,發現東方線上商店中傾向於應用「有語境資訊」之商品圖片展示設計,提供消費者較詳細的產品訊息;而西方則偏好空白背景的高知覺流暢性展示,能快速聚焦於產品主體。於感官記憶方面,透過眼動儀實驗發現,有語境資訊的展示方式雖然知覺流暢性較低,但卻在展示多張產品圖片時,更容易吸引東方消費者的興趣與注意力。
實驗二針對流暢性與東西方消費者之短期記憶階段。透過圖文語意配對實驗發現,圖像模糊且文字語意與產品不相符時,會導致作答時間延長與準確性下降,表示在極度不流暢的情境中,會降低觀者的認知能力,尤其西方人更容易受到不流暢的資訊干擾。此外,在圖文資訊同時不流暢時,觀者會更聚焦於觀看產品而放棄對文字的理解,支持過往之圖像優勢效應理論(Picture Superiority Effect)。
在長期記憶階段,實驗三發現空白背景能降低雜訊干擾而促進產品的再認記憶表現,而對樣本的情緒感受越正向,也越容易記住產品。語境背景雖降低知覺流暢性,卻能提升概念流暢性,當文字與背景同時傳達一致的資訊時,能協助消費者強化對產品的既有印象而記住產品。此外,在文字與背景同時語意不相符的極度不流暢情境中,觀者也會透過自身經驗進行解讀,並在能夠整合所有資訊時,將模糊的熟悉感(Familiarity)深化為具體回憶(Recollection)。
對語境資訊的注意力也影響了對產品的記憶。當觀者對文字的理解程度越高,不僅能提升再認記憶的準確性,同時也能降低假警報的發生,使其對目標產品的辨識更加敏銳,顯示文字資訊的有效吸收能夠強化記憶的儲存,提取為可清晰回憶的內容。相較之下,背景則常成為干擾記憶的雜訊,當觀者投入過多注意力於背景並試圖深入理解時,反而降低了對產品的記憶效果,並且透過PrEmo情緒量表發現,隨著對背景的理解程度增加,正向感受也逐漸下降。
文化差異也影響了東西方消費者的視覺瀏覽策略。整體而言,圖像是商品展示頁中最吸引消費者視覺注意力的區域。然而,東方消費者具整體性思維(Holistically),在注意圖像的同時也重視文字中的資訊,瀏覽時傾向先看文字再看圖像;西方消費者則具分析性思維(Analytically),專注於產品主體,圖像優勢效應更顯著,文字依賴度較低。
根據實驗之結果,本研究提出在線上商店中,不同使用者旅程階段之商品圖片展示設計策略。在商品列表頁中,可以加入語境背景以創造知覺不流暢,吸引觀者注意力;在商品展示頁中,則採用高知覺流暢性的簡潔背景,提升消費者於商店中之美感與正向感受;在單一圖片呈現的商品展示中,則善用概念不流暢的展示手法,透過概念不流暢但具可理解性的語境資訊,並依目標族群文化背景調整語境資訊的呈現方式,以喚起消費者想像並「說故事」,最終強化觀者對產品的記憶。
本研究證明,商品圖片展示的流暢性並非越高越好,而需依情境與文化背景進行調整,以協助產品吸引消費者注意力,並創造正向情緒與記憶,提升消費者對產品的印象與網站黏著性。
This study examines the roles of perceptual fluency and conceptual fluency in the pictorial presentation of products in online stores, drawing upon human memory models to analyze their effects on visual cognition and memory among Eastern and Western consumers. A three-stage experimental design was employed to investigate: (1) in the sensory memory stage, which visual formats most effectively capture attention; (2) in the short-term memory stage, how perceptual and conceptual fluency reduce cognitive load and facilitate information encoding; and (3) in the long-term memory stage, how fluency strengthens impressions and enhances product recall. Cultural differences were also considered to understand variations in consumer cognitive behavior.
Perceptual fluency refers to the speed and accuracy of recognizing the physical attributes of stimuli, which decreases with increasing visual complexity. Conceptual fluency denotes the ease of recognizing semantic meaning, often shaped by prior knowledge and experience. The study distinguishes between product-focused images and contextual information that supplements product description. In study 1, secondary data analysis revealed that Eastern online stores tend to employ contextualized product images, whereas Western stores favor blank backgrounds with high perceptual fluency. Eye-tracking experiments further demonstrated that contextual information, despite lowering perceptual fluency, more effectively attracted Eastern consumers’ attention when multiple product images were presented.
Study 2 showed that mismatched text paired with blurred images reduced accuracy and increased response time, indicating that extremely low fluency impairs cognition, particularly among Western consumers. When both image and text were disfluent, participants prioritized product images over textual comprehension, consistent with the Picture Superiority Effect.
In the long-term memory stage, Study 3 revealed that blank backgrounds facilitated recognition by reducing noise, while contextual information enhanced conceptual fluency and reinforced product impressions when semantically congruent. In disfluent conditions, consumers relied on prior experience to interpret stimuli, transforming vague familiarity into concrete recollection.
Cultural differences in browsing strategies were evident: Eastern consumers, characterized by holistic thinking, attended to both text and images, often prioritizing textual information; Western consumers, with analytic thinking, focused primarily on product images, showing stronger image-first effects. Based on these findings, the study proposes differentiated design strategies for online product image presentation across user journey stages: contextual backgrounds in product list page to attract attention, simplified backgrounds in product information page to enhance aesthetics and positive affect, and conceptually disfluent yet interpretable contextual information in single-image displays to stimulate imagination and storytelling.
The study demonstrates that fluency in product pictorial presentation is not inherently optimal when maximized. Instead, fluency must be strategically adapted to context and cultural background to capture consumer attention, evoke positive emotions, and strengthen memory, thereby enhancing product impressions and consumer engagement with online stores.
Alba, J. W., & Williams, E. F. (2013). Pleasure principles: A review of research on hedonic consumption. Journal of Consumer Psychology, 23(1), 2-18.
Alter, A. L., & Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and social psychology review, 13(3), 219-235.
Apenes Solem, B. A. (2016). Influences of customer participation and customer brand engagement on brand loyalty. Journal of Consumer Marketing, 33(5), 332-342.
Arishekar. (2025). Amazon Marketplace 2025: Reaching $2.5 Trillion as Global Competition Drops 30% – What This Means for Sellers. Retrieved from https://amzprep.com/amazon-marketplace-2025-statistics-25-trillion-sales-competition-analysis/
Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77-95.
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In Psychology of learning and motivation (Vol. 2, pp. 89-195): Elsevier.
Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing letters, 2, 159-170.
Belke, B., Leder, H., Strobach, T., & Carbon, C.-C. (2010). Cognitive fluency: High-level processing dynamics in art appreciation. Psychology of Aesthetics, Creativity, and the Arts, 4(4), 214.
Bell, C. (1823). On the motions of the eye, in illustration of the uses of the muscles and nerves of the orbit. Philosophical Transactions of the Royal Society of London(113), 166-186.
Berlyne, D. E. (1963). Complexity and incongruity variables as determinants of exploratory choice and evaluative ratings. Canadian Journal of Psychology/Revue canadienne de psychologie, 17(3), 274.
Berlyne, D. E. (1970). Novelty, complexity, and hedonic value. Perception & psychophysics, 8(5), 279-286.
Bettman, J. R. (1979). An information processing theory of consumer choice. (No Title).
Bielak, J. (2025). To what extent are foreign language anxiety and foreign language enjoyment related to L2 fluency? An investigation of task-specific emotions and breakdown and speed fluency in an oral task. Language Teaching Research, 29(3), 911-941.
Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of personality and social psychology, 47(6), 1191.
Cai, S., & Xu, Y. (2011). Designing not just for pleasure: effects of web site aesthetics on consumer shopping value. International Journal of Electronic Commerce, 15(4), 159-188.
Carter, B. T., & Luke, S. G. (2020). Best practices in eye tracking research. International Journal of Psychophysiology, 155, 49-62.
Cheal, M., & Chastain, G. (1998). Attention effects of moving and stationary single-element and multiple-element precues: Limits of automaticity. Perception & psychophysics, 60, 873-887.
Chen, Y.-H., Hsu, I. C., & Lin, C.-C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63(9), 1007-1014. doi:https://doi.org/10.1016/j.jbusres.2009.01.023
Childers, T. L., & Houston, M. J. (1984). Conditions for a picture-superiority effect on consumer memory. Journal of Consumer Research, 643-654.
Chrobot, N. (2014). The role of processing fluency in online consumer behavior: evaluating fluency by tracking eye movements. Paper presented at the Proceedings of the Symposium on Eye Tracking Research and Applications, Safety Harbor, Florida. https://doi.org/10.1145/2578153.2583037
Coltheart, M. (1980). Iconic memory and visible persistence. Perception & psychophysics, 27(3), 183-228.
Commerce, U. S. D. o. (2023). Quarterly Retail E-Commerce Sales. Retrieved from https://www.census.gov/retail/ecommerce.html
Conley, P. (2023). US ecommerce in 2022 tops $1 trillion for first time. Retrieved from https://www.digitalcommerce360.com/article/us-ecommerce-sales/
Cox, D., & Cox, A. D. (2002). Beyond first impressions: The effects of repeated exposure on consumer liking of visually complex and simple product designs. Journal of the Academy of Marketing Science, 30(2), 119-130. doi:Doi 10.1177/03079459994371
Desmet, P. (2002). Designing emotions. In: Delft University of Technology, Department of Industrial Design.
Desmet, P. (2018). Measuring emotion: Development and application of an instrument to measure emotional responses to products. Funology 2: from usability to enjoyment, 391-404.
Dhruv, G., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1-6.
Doherty, N. F., & Ellis‐Chadwick, F. (2010). Internet retailing: the past, the present and the future. International Journal of Retail & Distribution Management, 38(11/12), 943-965.
Dov Cohen, S. K. (2019). Handbook of Cultural Psychology.
Ebbinghaus, H. (2013). Memory: A contribution to experimental psychology. Annals of neurosciences, 20(4), 155.
Elder, R. S., & Krishna, A. (2012). The “visual depiction effect” in advertising: Facilitating embodied mental simulation through product orientation. Journal of Consumer Research, 38(6), 988-1003.
Fiore, A. M., Jin, H. J., & Kim, J. (2005). For fun and profit: Hedonic value from image interactivity and responses toward an online store. Psychology & Marketing, 22(8), 669-694.
Flacandji, M., & Krey, N. (2020). Remembering shopping experiences: The Shopping Experience Memory Scale. Journal of Business Research, 107, 279-289. doi:https://doi.org/10.1016/j.jbusres.2018.10.039
Forster, M., Leder, H., & Ansorge, U. (2013). It felt fluent, and I liked it: subjective feeling of fluency rather than objective fluency determines liking. Emotion, 13(2), 280.
Franěk, M., & Petružálek, J. (2025). Perceptual fluency and eye movements when viewing urban and natural scenes. Scientific Reports, 15(1), 25772.
Friedrich, T., Schlauderer, S., & Overhage, S. (2019). The impact of social commerce feature richness on website stickiness through cognitive and affective factors: An experimental study. Electronic Commerce Research and Applications, 36, 100861.
Geissler, G. L., Zinkhan, G. M., & Watson, R. T. (2006). The Influence of Home Page Complexity on Consumer Attention, Attitudes, and Purchase Intent. Journal of advertising, 35(2), 69-80. doi:10.1080/00913367.2006.10639232
Gelder, K. v. (2023). E-commerce worldwide - statistics & facts. Retrieved from https://www.statista.com/topics/871/online-shopping/#editorsPicks
Ha, Y., Kwon, W. S., & Lennon, S. J. (2007). Online visual merchandising (VMD) of apparel web sites. Journal of Fashion Marketing and Management: An International Journal, 11(4), 477-493. doi:10.1108/13612020710824553
Hall, E. T. (1976). Beyond culture: Anchor.
Hall, S. R. (1924). Retail advertising and selling.
Hayes, A. E., Paul, M. A., Beuger, B., & Tipper, S. P. (2008). Self produced and observed actions influence emotion: The roles of action fluency and eye gaze. Psychological research, 72(4), 461-472.
Heeger, D., & Landy, M. (1997). Signal detection theory. Dept. Psych., Stanford Univ., Stanford, CA, Teaching Handout.
Hessels, R. S., Andersson, R., Hooge, I. T., Nyström, M., & Kemner, C. (2015). Consequences of eye color, positioning, and head movement for eye‐tracking data quality in infant research. Infancy, 20(6), 601-633.
Hessels, R. S., Kemner, C., van den Boomen, C., & Hooge, I. T. (2016). The area-of-interest problem in eyetracking research: A noise-robust solution for face and sparse stimuli. Behavior research methods, 48(4), 1694-1712.
Hofstede, G. (2001). Culture's consequences: Comparing values, behaviors, institutions and organizations across nations: sage.
Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures: oup Oxford.
Hou, F., Li, B., Chong, A. Y.-L., Yannopoulou, N., & Liu, M. J. (2017). Understanding and predicting what influence online product sales? A neural network approach. Production Planning & Control, 28(11-12), 964-975. doi:10.1080/09537287.2017.1336791
Huang, Z. T., & Kwong, J. Y. Y. (2016). Illusion of variety: Lower readability enhances perceived variety. International Journal of Research in Marketing, 33(3), 674-687.
Hubert, M., Hubert, M., Linzmajer, M., Riedl, R., & Kenning, P. (2018). Trust me if you can–neurophysiological insights on the influence of consumer impulsiveness on trustworthiness evaluations in online settings. European Journal of Marketing, 52(1/2), 118-146.
Im, H., Lennon, S. J., & Stoel, L. (2010). The perceptual fluency effect on pleasurable online shopping experience. Journal of Research in Interactive Marketing, 4(4), 280-295. doi:10.1108/17505931011092808
Iyer, E. S. (1989). Unplanned Purchasing: Knowledge of shopping environment and Time Pressure. Journal of Retailing, 65(1), 40.
Jacoby, L. L., Kelley, C. M., & Dywan, J. (1989). Memory attributions. Varieties of memory and consciousness: Essays in honour of Endel Tulving, 391-422.
Jakhar, R., Verma, D., Rathore, A. P. S., & Kumar, D. (2020). Prioritization of dimensions of visual merchandising for apparel retailers using FAHP. Benchmarking: An International Journal, 27(10), 2759-2784. doi:10.1108/BIJ-11-2019-0497
Ji, X., & Pang, C. (2006, 2006). Online visual merchandising of apparel e-retailers.
Jiang, Z., Wang, W., Tan, B. C. Y., & Yu, J. (2016). The determinants and impacts of aesthetics in users’ first interaction with websites. Journal of Management Information Systems, 33(1), 229-259.
Johnson, M. K., Foley, M. A., Suengas, A. G., & Raye, C. L. (1988). Phenomenal characteristics of memories for perceived and imagined autobiographical events. Journal of Experimental Psychology: General, 117(4), 371.
Jones, M. W., Obregón, M., Kelly, M. L., & Branigan, H. P. (2008). Elucidating the component processes involved in dyslexic and non-dyslexic reading fluency: An eye-tracking study. Cognition, 109(3), 389-407.
Joye, Y., Steg, L., Ünal, A. B., & Pals, R. (2016). When complex is easy on the mind: Internal repetition of visual information in complex objects is a source of perceptual fluency. Journal of experimental psychology: human perception and performance, 42(1), 103.
Kahn, B. E. (2017). Using Visual Design to Improve Customer Perceptions of Online Assortments. Journal of Retailing, 93(1), 29-42. doi:https://doi.org/10.1016/j.jretai.2016.11.004
Kang, H. J., Shin, J.-h., & Ponto, K. (2020). How 3D Virtual Reality Stores Can Shape Consumer Purchase Decisions: The Roles of Informativeness and Playfulness. Journal of Interactive Marketing, 49, 70-85. doi:https://doi.org/10.1016/j.intmar.2019.07.002
Katerattanakul, P. (2002). Framework of effective web site design for business-to-consumer internet commerce. INFOR: Information Systems and Operational Research, 40(1), 57-70.
Keskin, S. (2022). 19 New Ecommerce Statistics You Need to Know in 2023. Retrieved from https://www.drip.com/blog/e-commerce-statistics#six
Khakimdjanova, L., & Park, J. (2005). Online visual merchandising practice of apparel e-merchants. Journal of Retailing and Consumer Services, 12(5), 307-318. doi:https://doi.org/10.1016/j.jretconser.2004.10.005
Kim, S., & Eastin, M. S. (2011). Hedonic tendencies and the online consumer: An investigation of the online shopping process. Journal of Internet Commerce, 10(1), 68-90.
Kisielius, J., & Sternthal, B. (1984). Detecting and explaining vividness effects in attitudinal judgments. Journal of Marketing Research, 21(1), 54-64.
Kisielius, J., & Sternthal, B. (1986). Examining the vividness controversy: An availability-valence interpretation. Journal of Consumer Research, 12(4), 418-431.
Knickerbocker, F., Johnson, R. L., Starr, E. L., Hall, A. M., Preti, D. M., Slate, S. R., & Altarriba, J. (2019). The time course of processing emotion-laden words during sentence reading: Evidence from eye movements. Acta Psychologica, 192, 1-10.
Krishna, A. (2012). An integrative review of sensory marketing: Engaging the senses to affect perception, judgment and behavior. Journal of Consumer Psychology, 22(3), 332-351. doi:https://doi.org/10.1016/j.jcps.2011.08.003
Kristensen, E. (2022). 13 Best Practices for the Perfect Mobile Checkout Experience. Retrieved from https://www.drip.com/blog/mobile-checkout?_gl=1*1yv9ple*_gcl_au*MTAzOTIwOTk4LjE2OTc0NjM0NjI.*_ga*MTM3MzQwNzE4NS4xNjk3NDYzNDYz*_gid*MjAyODcwMjU4Ni4xNjk3NDYzNDYz*_fplc*MXBwJTJCWGJLT3JLVGxJUXBlUVNoJTJCbDFEMCUyQndFejgwQVRJenU1ZW9ZbCUyRkh6VDRLaFVZZXd2M09PZEk4bTFTZloybU9DUVYwcmRYNzNXNXQ1ZGw4YWNHSkZnTkZWSnclMkI3SGZXdFBadnp3a0Q3WU45ZExLMU10MjYlMkZFZkFIRjlnJTNEJTNE*_ga_YPW39X9SQK*MTY5NzQ2MzQ2My4xLjAuMTY5NzQ2MzUwMy4yMC4wLjA.
Kumar, A., & Yinliang, T. (2013). Value of IT in online visual merchandising: A randomized experiment to estimate the value of online product video. SSRN Electronic Journal. doi, 10.
Lanska, M., Olds, J. M., & Westerman, D. L. (2014). Fluency effects in recognition memory: Are perceptual fluency and conceptual fluency interchangeable? Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 1.
Lappi, O. (2015). Eye tracking in the wild: the good, the bad and the ugly. Journal of Eye Movement Research, 8(5).
Laurans, G., & Desmet, P. (2012). Introducing PrEmo2 new directions for the non-verbal measurement of emotion in design. 8th International Conference on Design and Emotion: Out of Control - Proceedings.
Lazarus, R. S. (1991). Emotion and adaptation: Oxford University Press.
Lee, A. Y., & Labroo, A. A. (2004). The effect of conceptual and perceptual fluency on brand evaluation. Journal of Marketing Research, 41(2), 151-165.
Lim, E. A. C., & Ang, S. H. (2008). Hedonic vs. utilitarian consumption: A cross-cultural perspective based on cultural conditioning. Journal of Business Research, 61(3), 225-232.
Liu, F., Xiao, B., Lim, E. T. K., & Tan, C.-W. (2017). The art of appeal in electronic commerce: Understanding the impact of product and website quality on online purchases. Internet Research, 27(4), 752-771.
Luna, D., & Peracchio, L. A. (2003). Visual and linguistic processing of ads by bilingual consumers. Persuasive imagery: A consumer response perspective, 153-175.
Magrath, V., & McCormick, H. (2013). Marketing design elements of mobile fashion retail apps. Journal of Fashion Marketing and Management: An International Journal, 17(1), 115-134.
Maier, E., & Dost, F. (2018a). Fluent contextual image backgrounds enhance mental imagery and evaluations of experience products. Journal of Retailing and Consumer Services, 45, 207-220. doi:https://doi.org/10.1016/j.jretconser.2018.09.006
Maier, E., & Dost, F. (2018b). The positive effect of contextual image backgrounds on fluency and liking. Journal of Retailing and Consumer Services, 40, 109-116. doi:https://doi.org/10.1016/j.jretconser.2017.09.003
Masuda, T., Gonzalez, R., Kwan, L., & Nisbett, R. E. (2008). Culture and aesthetic preference: Comparing the attention to context of East Asians and Americans. Personality and Social Psychology Bulletin, 34(9), 1260-1275. doi:10.1177/0146167208320555
Masuda, T., & Nisbett, R. E. (2001). Attending holistically versus analytically: Comparing the context sensitivity of Japanese and Americans. Journal of personality and social psychology, 81(5), 922-934. doi:10.1037//0022-3514.81.5.922
Mazzoni, G., Vannucci, M., & Batool, I. (2014). Manipulating cues in involuntary autobiographical memory: Verbal cues are more effective than pictorial cues. Memory & Cognition, 42, 1076-1085.
Medina, J. J. (2008). The Biology of Recognition Memory.
Miceli, G. N., Scopelliti, I., Raimondo, M. A., & Donato, C. (2014). Breaking through complexity: Visual and conceptual dimensions in logo evaluation across exposures. Psychology & Marketing, 31(10), 886-899.
Miglani, J. (2023). US Online Retail Forecast, 2023 To 2028. Retrieved from https://www.forrester.com/report/us-online-retail-forecast-2023-to-2028/RES179597
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81.
Mosteller, J., Donthu, N., & Eroglu, S. (2014). The fluent online shopping experience. Journal of Business Research, 67(11), 2486-2493. doi:https://doi.org/10.1016/j.jbusres.2014.03.009
Nisbett, R., & Ross, L. (1980). Assigning Weights to Sata: TheVividness Criterion'. Human inference: Strategies and shortcomings of social judgment, 43-62.
Nisbett, R. E., Peng, K. P., Choi, I., & Norenzayan, A. (2001). Culture and systems of thought: Holistic versus analytic cognition. Psychological Review, 108(2), 291-310. doi:10.1037//0033-295x.108.2.291
Norman, D. (2013). The design of everyday things: Revised and expanded edition: Basic books.
Norman, D. (2014). Things that make us smart: Defending human attributes in the age of the machine: Diversion Books.
Norman, D. A. (1976). Memory and attention: An introduction to human information processing.
O'Brien, H. L., & Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science and Technology, 61(1), 50-69.
Ozen, H., & Kodaz, N. (2012). Utilitarian or hedonic? A cross cultural study in online shopping. Organizations and markets in emerging economies, 3(2), 80-90.
Pang, D., & Proyer, R. T. (2018). An initial cross-cultural comparison of adult playfulness in mainland China and German-speaking countries. Frontiers in psychology, 9, 421. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885041/pdf/fpsyg-09-00421.pdf
Park, J., Stoel, L., & Lennon, S. J. (2008). Cognitive, affective and conative responses to visual simulation: The effects of rotation in online product presentation. Journal of Consumer Behaviour: An International Research Review, 7(1), 72-87.
Peterson, W., Birdsall, T., & Fox, W. (1954). The theory of signal detectability. Transactions of the IRE professional group on information theory, 4(4), 171-212.
Petrova, P. K., & Cialdini, R. B. (2005). Fluency of consumption imagery and the backfire effects of imagery appeals. Journal of Consumer Research, 32(3), 442-452.
Pieters, R., & Wedel, M. (2004). Attention capture and transfer in advertising: Brand, pictorial, and text-size effects. Journal of marketing, 68(2), 36-50.
Poole, A., Ball, L. J., & Phillips, P. (2005). In search of salience: A response-time and eye-movement analysis of bookmark recognition. Paper presented at the People and computers XVIII—Design for life: Proceedings of HCI 2004.
Putri, K. D., & Balqiah, T. E. (2017). Do web atmospherics affect purchase intention? The role of color and product display. Journal of Management and Marketing Review, 2(2), 79-86.
Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. The Quarterly journal of experimental psychology, 62(8), 1457-1506.
Reber, R., & Schwarz, N. (2001). The hot fringes of consciousness: Perceptual fluency and affect. Consciousness & emotion, 2(2), 223-231.
Reber, R., Schwarz, N., & Winkielman, P. (2004). Processing fluency and aesthetic pleasure: Is beauty in the perceiver's processing experience? Personality and social psychology review, 8(4), 364-382.
Reber, R., Winkielman, P., & Schwarz, N. (1998). Effects of Perceptual Fluency on Affective Judgments. Psychological Science, 9(1), 45-48. doi:10.1111/1467-9280.00008
Reingold, E. M. (2014). Eye tracking research and technology: Towards objective measurement of data quality. Visual cognition, 22(3-4), 635-652.
Rice, M. (1997). What makes users revisit a Web site. Marketing News, 31(6), 12-13.
Rosenberg, L. J., & Hirschman, E. C. (1980). Retailing without stores. Harvard Business Review, 58(4), 103-112.
Rubin, D. C., Schrauf, R. W., & Greenberg, D. L. (2003). Belief and recollection of autobiographical memories. Memory & Cognition, 31(6), 887-901. doi:10.3758/BF03196443
Schwarz, N. (2004). Metacognitive experiences in consumer judgment and decision making. Journal of Consumer Psychology, 14(4), 332-348.
Scott, L. M., & Vargas, P. (2007). Writing with pictures: Toward a unifying theory of consumer response to images. Journal of Consumer Research, 34(3), 341-356.
Seamon, J. G., Williams, P. C., Crowley, M. J., Kim, I. J., Langer, S. A., Orne, P. J., & Wishengrad, D. L. (1995). The mere exposure effect is based on implicit memory: Effects of stimulus type, encoding conditions, and number of exposures on recognition and affect judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(3), 711.
Shepherd, J. (2023). 21 Essential eCommerce Statistics You Need to Know in 2023. Retrieved from https://thesocialshepherd.com/blog/ecommerce-statistics#there-are-between-12-and-24-million-online-stores
Sherman, S. J., Ahlm, K., Berman, L., & Lynn, S. (1978). Contrast effects and their relationship to subsequent behavior. Journal of Experimental Social Psychology, 14(4), 340-350.
Shih, C. F. (1998). Conceptualizing consumer experiences in cyberspace. European Journal of Marketing, 32(7/8), 655-663.
Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. Journal of experimental psychology: Human learning and memory, 6(2), 174.
Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior research methods, instruments, & computers, 31(1), 137-149.
Statista. (2022). Leading e-commerce retailers worldwide in 2022 and 2027, based on estimated sales. Retrieved from https://www.statista.com/statistics/1316966/e-commerce-sales-retailers-worldwide/
Statista. (2023). Most visited online retail websites worldwide in 2022, by monthly traffic. Retrieved from https://www.statista.com/statistics/274708/online-retail-and-auction-ranked-by-worldwide-audiences/
Steindorf, L., & Rummel, J. (2020). Do your eyes give you away? A validation study of eye-movement measures used as indicators for mindless reading. Behavior research methods, 52(1), 162-176.
Steuer, J., Biocca, F., & Levy, M. R. (1995). Defining virtual reality: Dimensions determining telepresence. Communication in the age of virtual reality, 33, 37-39.
Sutin, A. R., & Robins, R. W. (2007). Phenomenology of autobiographical memories: The memory experiences questionnaire. Memory, 15(4), 390-411.
Swets, J. A. (1973). The Relative Operating Characteristic in Psychology: A technique for isolating effects of response bias finds wide use in the study of perception and cognition. Science, 182(4116), 990-1000.
Talmi, D. (2013). Enhanced emotional memory: Cognitive and neural mechanisms. Current Directions in Psychological Science, 22(6), 430-436.
Then, N. K., & DeLong, M. R. (1999). Apparel shopping on the web. Journal of Family and Consumer Sciences, 91(3), 65.
Tobii. (2023). Tobii Pro Nano User Manual (Vol. 2.5).
Tobii. (2024a). Heat maps in Tobii Pro Lab. Retrieved from https://connect.tobii.com/s/article/Calculate-heat-maps?language=en_US
Tobii. (2024b). Static visualizations for Tobii Pro Lab versions 1.207 and earlier. Retrieved from https://connect.tobii.com/s/article/heat-maps-and-gaze-plots?language=en_US
Vieira, V., Santini, F. O., & Araujo, C. F. (2018). A meta-analytic review of hedonic and utilitarian shopping values. Journal of Consumer Marketing, 35(4), 426-437.
Võ, M. L., Conrad, M., Kuchinke, L., Urton, K., Hofmann, M. J., & Jacobs, A. M. (2009). The Berlin affective word list reloaded (BAWL-R). Behavior research methods, 41(2), 534-538.
Wagner, G., Schramm-Klein, H., & Steinmann, S. (2020). Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment. Journal of Business Research, 107, 256-270.
Wang, C.-L., Chen, Z.-X., Chan, A. K. K., & Zheng, Z.-C. (2000). The Influence of Hedonic Values on Consumer Behaviors. Journal of Global Marketing, 14(1-2), 169-186. doi:10.1300/J042v14n01_09
Westerman, D. L. (2008). Relative fluency and illusions of recognition memory. Psychonomic Bulletin & Review, 15(6), 1196-1200.
Whittlesea, B. W., Jacoby, L. L., & Girard, K. (1990). Illusions of immediate memory: Evidence of an attributional basis for feelings of familiarity and perceptual quality. Journal of Memory and Language, 29(6), 716-732.
Whittlesea, B. W. A. (1993). Illusions of familiarity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(6), 1235.
Wilson, J. C., & Westerman, D. L. (2018). Picture (im) perfect: Illusions of recognition memory produced by photographs at test. Memory & Cognition, 46(7), 1210-1221.
Winkielman, P., Schwarz, N., & Nowak, A. (2008). Affect and processing dynamics: Perceptual fluency enhances evaluations. In Emotional cognition: From brain to behaviour (pp. 111-135): John Benjamins Publishing Company.
Winkielman, P., Schwarz, N., & Reber, R. (2003). The hedonic marking of processing fluency: Implications for evaluative judgment. The psychology of evaluation: Affective processes in cognition and emotion, 189, 217.
Winkielman, P., Schwarz, N., Reber, R., & Fazendeiro, T. A. (2003). Cognitive and affective consequences of visual fluency: When seeing is easy on the mind. In Persuasive imagery (pp. 75-89): Routledge.
Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California management review, 43(2), 34-55.
Wu. (2014). How can online store layout design and atmosphere influence consumer shopping intention on a website? International Journal of Retail & Distribution Management, 42(1), 4-24. doi:10.1108/IJRDM-01-2013-0035
Wu, F., Swait, J., & Chen, Y. (2019). Feature-based attributes and the roles of consumers' perception bias and inference in choice. International Journal of Research in Marketing, 36(2), 325-340. doi:https://doi.org/10.1016/j.ijresmar.2018.12.003
Wu, K., Vassileva, J., Zhao, Y., Noorian, Z., Waldner, W., & Adaji, I. (2016). Complexity or simplicity? Designing product pictures for advertising in online marketplaces. Journal of Retailing and Consumer Services, 28, 17-27. doi:https://doi.org/10.1016/j.jretconser.2015.08.009
Yi, C., Jiang, Z., & Benbasat, I. (2015). Enticing and engaging consumers via online product presentations: The effects of restricted interaction design. Journal of Management Information Systems, 31(4), 213-242.
Yonelinas, A. P. (2002). The nature of recollection and familiarity: A review of 30 years of research. Journal of Memory and Language, 46(3), 441-517.