References
- Alnanih, R., and O. Ormandjieva. 2016. “Mapping hci Principles to Design Quality of Mobile User Interfaces in Healthcare Applications.” Procedia Computer Science 94: 75–82. doi: https://doi.org/10.1016/j.procs.2016.08.014
- Andersen, S. K., M. M. Müller, and S. A. Hillyard. 2009. “Color-Selective Attention Need not be Mediated by Spatial Attention.” Journal of Vision 9 (6): 1–7. doi: https://doi.org/10.1167/9.6.2
- Bhandari, U., T. Neben, K. Chang, and W. Y. Chua. 2017. “Effects of Interface Design Factors on Affective Responses and Quality Evaluations in Mobile Applications.” Computers in Human Behavior 72: 525–534. doi: https://doi.org/10.1016/j.chb.2017.02.044
- BigData-Research. 2019. 2018 China Mobile Information Distribution Platform Market Research Report. Retrieved from: <http://www.bigdata-research.cn/content/201903/925.html>.
- Bojko, A. 2006. “Using eye Tracking to Compare web Page Designs: A Case Study.” Journal of Usability Studies 1 (3): 112–120.
- Chae, S. W., and K. C. Lee. 2013. “Exploring the Effect of the Human Brand on Consumers’ Decision Quality in Online Shopping an eye-Tracking Approach.” Online Information Review 37 (1): 83–100. doi: https://doi.org/10.1108/14684521311311649
- Chang, B., S. Y. Chen, Y. C. Tsai, and M. L. Lai. 2017. “The Effects of Task Activities and Gaming Scales on eye Reading and Visual Search Performance.” Computers in Human Behavior 66: 16–25. doi: https://doi.org/10.1016/j.chb.2016.09.013
- Chiu, Y. P., S. K. Lo, and A. Y. Hsieh. 2017. “How Colour Similarity can Make Banner Advertising Effective: Insights From Gestalt Theory.” Behaviour & Information Technology 36 (6): 606–619. doi: https://doi.org/10.1080/0144929X.2016.1267264
- Chung, M. 2017. “Not Just Numbers: The Role of Social Media Metrics in Online News Evaluations.” Computers in Human Behavior 75: 949–957. doi: https://doi.org/10.1016/j.chb.2017.06.022
- Cornish, L., A. Hill, M. S. Horswill, S. I. Becker, and M. O. Watson. 2019. “Eye-tracking Reveals how Observation Chart Design Features Affect the Detection of Patient Deterioration: an Experimental Study.” Applied Ergonomics 75: 230–242. doi: https://doi.org/10.1016/j.apergo.2018.10.005
- Gerjets, P., Y. Kammerer, and B. Werner. 2011. “Measuring Spontaneous and Instructed Evaluation Processes During web Search: Integrating Concurrent Thinking-Aloud Protocols and eye-Tracking Data.” Learning and Instruction 21 (2): 220–231. doi: https://doi.org/10.1016/j.learninstruc.2010.02.005
- Gidlöf, K., A. Anikin, M. Lingonblad, and A. Wallin. 2017. “Looking is Buying. How Visual Attention and Choice are Affected by Consumer Preferences and Properties of the Supermarket Shelf.” Appetite 116: 29–38. doi: https://doi.org/10.1016/j.appet.2017.04.020
- Goldberg, J. H., and X. P. Kotval. 1999. “Computer Interface Evaluation Using eye Movements: Methods and Constructs.” International Journal of Industrial Ergonomics 24 (6): 631–645. doi: https://doi.org/10.1016/S0169-8141(98)00068-7
- Hernández-Méndez, J., and F. Muñoz-Leiva. 2015. “What Type of Online Advertising is Most Effective for Etourism 2.0? An eye Tracking Study Based on the Characteristics of Tourists.” Computers in Human Behavior 50: 618–625. doi: https://doi.org/10.1016/j.chb.2015.03.017
- Herten, N., T. Otto, and O. T. Wolf. 2017. “The Role of eye Fixation in Memory Enhancement Under Stress - An eye Tracking Study.” Neurobiology of Learning and Memory 140: 134–144. doi: https://doi.org/10.1016/j.nlm.2017.02.016
- Hoehle, H., R. Aljafari, and V. Venkatesh. 2016. “Leveraging Microsoft’s Mobile Usability Guidelines: Conceptualizing and Developing Scales for Mobile Application Usability.” International Journal of Human-Computer Studies 89: 35–53. doi: https://doi.org/10.1016/j.ijhcs.2016.02.001
- Huang, M. H. 2003. “Designing Website Attributes to Induce Experiential Encounters.” Computers in Human Behavior 19 (4): 425–442. doi: https://doi.org/10.1016/S0747-5632(02)00080-8
- Hughes, A., T. Wilkens, B. M. Wildemuth, and G. Marchionini. 2003. “Text or Pictures? An Eyetracking Study of How People View Digital Video Surrogates.” In Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol. 2728, edited by E. M. Bakker, M. S. Lew, T. S. Huang, N. Sebe, and X. S. Zhou, 271–280. Berlin, Heidelberg: Springer.
- Jones, G. 2003. “Testing two Cognitive Theories of Insight.” Journal of Experimental Psychology Learning Memory and Cognition 29 (5): 1017–1027. doi: https://doi.org/10.1037/0278-7393.29.5.1017
- Just, M. A., and P. A. Carpenter. 1976. “Eye Fixations and Cognitive Processes.” Cognitive Psychology 8 (4): 441–480. doi: https://doi.org/10.1016/0010-0285(76)90015-3
- Kalyuga, S., P. Chandler, and J. Sweller. 1999. “Managing Split-Attention and Redundancy in Multimedia Instruction.” Applied Cognitive Psychology 13 (4): 351–371. doi: https://doi.org/10.1002/(SICI)1099-0720(199908)13:4<351::AID-ACP589>3.0.CO;2-6
- Kang, H., J. K. Lee, K. H. You, and S. Lee. 2013. “Does Online News Reading and Sharing Shape Perceptions of the Internet as a Place for Public Deliberations?” Mass Communication and Society 16 (4): 533–556. doi: https://doi.org/10.1080/15205436.2012.746711
- Kurzhals, K., M. Hlawatsch, C. Seeger, and D. Weiskopf. 2017. “Visual Analytics for Mobile Eye Tracking.” IEEE Transactions on Visualization and Computer Graphics 23 (1): 301–310. doi: https://doi.org/10.1109/TVCG.2016.2598695
- Lee, T. R., D. L. Tang, and C. M. Tsai. 2005. “Exploring Color Preference Through eye Tracking.” AIC Colour 3 (5): 333–336.
- Li, Q., Z. Huang, and K. Christianson. 2016. “Visual Attention Toward Tourism Photographs with Text: An Eye-Tracking Study.” Tourism Management 54: 243–258. doi: https://doi.org/10.1016/j.tourman.2015.11.017
- Liu, W., X. Liang, and F. Liu. 2019. “The Effect of Webpage Complexity and Banner Animation on Banner Effectiveness in a Free Browsing Task.” International Journal of Human-Computer Interaction 35 (13): 1192–1202. doi: https://doi.org/10.1080/10447318.2018.1516843
- Luan, J., Y. Zhong, F. T. Zhao, and H. Liu. 2016. “Search Product and Experience Product Online Reviews: An eye-Tracking Study on Consumers’ Review Search Behavior.” Computers in Human Behavior 65: 420–430. doi: https://doi.org/10.1016/j.chb.2016.08.037
- Luck, S. J., and E. K. Vogel. 1997. “The Capacity of Visual Working Memory for Features and Conjunctions.” Nature 390 (6657): 279–281. doi: https://doi.org/10.1038/36846
- Ozcelik, E., T. Karakus, E. Kursun, and K. Cagiltay. 2009. “An eye-Tracking Study of how Color Coding Affects Multimedia Learning.” Computers & Education 53 (2): 445–453. doi: https://doi.org/10.1016/j.compedu.2009.03.002
- Pieters, R., and M. Wedel. 2004. “Attention Capture and Transfer in Advertising: Brand, Pictorial, and Text-Size Effects.” Journal of Marketing 68 (2): 36–50. doi: https://doi.org/10.1509/jmkg.68.2.36.27794
- Poole, A., and L. J. Ball. 2006. “Eye Tracking in HCI and Usability Research.” Encyclopedia of Human Computer Interaction 1: 211–219. doi: https://doi.org/10.4018/978-1-59140-562-7.ch034
- Rayner, K. 1978. “Eye Movements in Reading and Information Processing.” Psychological Bulletin 85 (3): 618–660. doi: https://doi.org/10.1037/0033-2909.85.3.618
- Schüler, A. 2017. “Investigating Gaze Behavior During Processing of Inconsistent Text-Picture Information: Evidence for Text-Picture Integration.” Learning and Instruction 49: 218–231. doi: https://doi.org/10.1016/j.learninstruc.2017.03.001
- Scott, G. G., and C. J. Hand. 2016. “Motivation Determines Facebook Viewing Strategy: An eye Movement Analysis.” Computers in Human Behavior 56: 267–280. doi: https://doi.org/10.1016/j.chb.2015.11.029
- Seo, Y. N., M. Kim, D. Lee, and Y. Jung. 2018. “Attention to ESports Advertisement: Effects of ad Animation and in-Game Dynamics on Viewers’ Visual Attention.” Behaviour & Information Technology 37 (12): 1194–1202. doi: https://doi.org/10.1080/0144929X.2018.1488993
- Sharafi, Z., Z. Soh, and Y. G. Guéhéneuc. 2015. “A Systematic Literature Review on the Usage of eye-Tracking in Software Engineering.” Information and Software Technology 67: 79–107. doi: https://doi.org/10.1016/j.infsof.2015.06.008
- Shim, H., K. H. You, J. K. Lee, and E. Go. 2015. “Why do People Access News with Mobile Devices? Exploring the Role of Suitability Perception and Motives on Mobile News use.” Telematics and Informatics 32 (1): 108–117. doi: https://doi.org/10.1016/j.tele.2014.05.002
- Tang, R., and K. E. Oh. 2017. “Mobile News Information Behavior of Undergraduate and Graduate Students in the US.: An Exploratory Study.” In iConference 2017 Proceedings 340–347.
- Theeuwes, J. 2010. “Top-down and Bottom-up Control of Visual Selection.” Acta Psychologica 135 (2): 77–99. doi: https://doi.org/10.1016/j.actpsy.2010.02.006
- Turatto, M., and G. Galfano. 2000. “Color, Form and Luminance Capture Attention in Visual Search.” Vision Research 40 (13): 1639–1643. doi: https://doi.org/10.1016/S0042-6989(00)00061-4
- Tzafilkou, K., and N. Protogeros. 2017. “Diagnosing User Perception and Acceptance Using eye Tracking in web-Based end-User Development.” Computers in Human Behavior 72: 23–37. doi: https://doi.org/10.1016/j.chb.2017.02.035
- Umezu, N., and E. Takahashi. 2017. “Visualizing Color Term Differences Based on Images From the web.” Journal of Computational Design & Engineering 4 (1): 37–45. doi: https://doi.org/10.1016/j.jcde.2016.08.002
- Vila, J., and Y. Gomez. 2016. “Extracting Business Information from Graphs: an eye Tracking Experiment.” Journal of Business Research 69 (5): 1741–1746. doi: https://doi.org/10.1016/j.jbusres.2015.10.048
- Vu, T. M. H., V. P. Tu, and K. Duerrschmid. 2016. “Design Factors Influence Consumers’ Gazing Behaviour and Decision Time in an eye-Tracking Test: a Study on Food Images.” Food Quality and Preference 47: 130–138. doi: https://doi.org/10.1016/j.foodqual.2015.05.008
- Wang, J., P. Antonenko, M. Celepkolu, Y. Jimenez, E. Fieldman, and F. Ashley. 2019. “Exploring Relationships Between eye Tracking and Traditional Usability Testing Data.” International Journal of Human-Computer Interaction 35 (6): 483–494. doi: https://doi.org/10.1080/10447318.2018.1464776
- Wang, C. Y., M. J. Tsai, and C. C. Tsai. 2016. “Multimedia Recipe Reading: Predicting Learning Outcomes and Diagnosing Cooking Interest Using eye-Tracking Measures.” Computers in Human Behavior 62: 9–18. doi: https://doi.org/10.1016/j.chb.2016.03.064
- Wang, Q., S. Yang, M. Liu, Z. Cao, and Q. Ma. 2014. “An eye-Tracking Study of Website Complexity from Cognitive Load Perspective.” Decision Support Systems 62 (1249): 1–10.
- Yantis, S., and H. E. Egeth. 1999. “On the Distinction between Visual Salience and Stimulus-Driven Attentional Capture.” Journal of Experimental Psychology: Human Perception and Performance 25 (3): 661–676.
- You, K. H., S. A. Lee, J. K. Lee, and H. Kang. 2013. “Why Read Online News? The Structural Relationships among Motivations, Behaviors, and Consumption in South Korea.” Information, Communication & Society 16 (10): 1574–1595. doi: https://doi.org/10.1080/1369118X.2012.724435
- Yu, N., and J. Kong. 2016. “User Experience with Web Browsing on Small Screens: Experimental Investigations of Mobile-Page Interface Design and Homepage Design for News Websites.” Information Sciences 330: 427–443. doi: https://doi.org/10.1016/j.ins.2015.06.004
- Zhou, X., X. Gao, J. Wang, H. Yu, Z. Wang, and Z. Chi. 2017. “Eye Tracking Data Guided Feature Selection for Image Classification.” Pattern Recognition 63: 56–70. doi: https://doi.org/10.1016/j.patcog.2016.09.007