A review of eye-tracking research in tourism

References

• Afrooz, A., White, D., & Neuman, M. (2014). Which visual cues are important in way-finding? Measuring the influence of travel mode on visual memory for built environments. Paper presented at the universal design 2014: Three days of creativity and diversity: Proceedings of the International Conference on Universal Design, UD 2014 Lund, Sweden, June 16–18, 2014.
   Google Scholar
• Aicher, J., Asiimwe, F., Batchuluun, B., Hauschild, M., Zöhrer, M., & Egger, R. (2016). Online hotel reviews: Rating symbols or text…text or rating symbols? That is the question!. In A. Inversini & R. Schegg (Eds.), Information and communication technologies in tourism 2016 (pp. 369–382). Bilbao, Spain: Springer.
   Google Scholar
• Antúnez, L., Giménez, A., Maiche, A., & Ares, G. (2015). Influence of interpretation aids on attentional capture, visual processing, and understanding of front-of-package nutrition labels. Journal of Nutrition Education and Behavior, 47(4), 292–299.
   PubMed Web of Science ®Google Scholar
• Antonson, H., Ahlström, C., Mårdh, S., Blomqvist, G., & Wiklund, M. (2014). Landscape heritage objects’ effect on driving: A combined driving simulator and questionnaire study. Accident Analysis & Prevention, 62, 168–177.
   PubMed Web of Science ®Google Scholar
• Aribarg, A., Pieters, R., & Wedel, M. (2010). Raising the BAR: Bias adjustment of recognition tests in advertising. Journal of Marketing Research, 47(3), 387–400.
   Web of Science ®Google Scholar
• Atalay, A., Bodur, H., & Rasolofoarison, D. (2012). Shining in the center: Central gaze cascade effect on product choice. Journal of Consumer Research, 39(4), 848–866.
   Web of Science ®Google Scholar
• Barry, T. (1987). The development of the hierarchy of effects: An historical perspective. Current Issues and Research in Advertising, 10(1–2), 251–295.
   Google Scholar
• Bastanlar, Y. (2007). User behaviour in web-based interactive virtual tours. Paper presented at the 2007 29th International Conference on Information Technology Interfaces, Cavtat, Croatia.
   Google Scholar
• Bebko, C., Sciulli, L. M., & Bhagat, P. (2014). Using eye tracking to assess the impact of advertising appeals on donor behavior. Journal of Nonprofit & Public Sector Marketing,26(4), 354–371. doi: 10.1080/10495142.2014.965073
   Google Scholar
• Benbunan-Fich, R. (2001). Using protocol analysis to evaluate the usability of a commercial web site. Information & Management, 39(2), 151–163.
   Web of Science ®Google Scholar
• Berenbaum, E., & Latimer-Cheung, A. (2014). Examining the link between framed physical activity ads and behavior among women. Journal of Sport and Exercise Psychology, 36(3), 271–280.
   PubMed Web of Science ®Google Scholar
• Bergstrom, J. R., & Schall, A. (2014). Eye tracking in user experience design. Amsterdam: Morgan Kaufmann.
   Google Scholar
• Blignaut, P., & Beelders, T. (2012). The precision of eye-trackers: A case for a new measure. Paper presented at the proceedings of the symposium on eye tracking research and applications, Santa Barbara, CA.
   Google Scholar
• Bojko, A. (2009). Informative or misleading? Heatmaps deconstructed. In Human-computer interaction. New trends (pp. 30–39). San Diego, CA: Springer.
   Google Scholar
• Breuer, C., & Rumpf, C. (2012). The viewer’s reception and processing of sponsorship information in sport telecasts. Journal of Sport Management, 26(6), 521–531.
   Web of Science ®Google Scholar
• Calvo, M., & Lang, P. (2004). Gaze patterns when looking at emotional pictures: Motivationally biased attention. Motivation and Emotion, 28(3), 221–243.
   Web of Science ®Google Scholar
• Chandon, P., Hutchinson, J., Bradlow, E., & Young, S. (2009). Does in-store marketing work? Effects of the number and position of shelf facings on brand attention and evaluation at the point of purchase. Journal of Marketing, 73(6), 1–17.
   Web of Science ®Google Scholar
• Choe, Y., Stienmetz, J., & Fesenmaier, D. (2014). Prior experience and destination advertising response. Tourism Analysis, 19(3), 351–359.
   Google Scholar
• Chua, H., Boland, J., & Nisbett, R. (2005). Cultural variation in eye movements during scene perception. Proceedings of the National Academy of Sciences of the United States of America, 102(35), 12629–12633.
   PubMed Web of Science ®Google Scholar
• Dann, S. (2010). Redefining social marketing with contemporary commercial marketing definitions. Journal of Business Research, 63(2), 147–153.
   Web of Science ®Google Scholar
• Davenport, T., & Beck, J. (2001). The attention economy: Understanding the new currency of business. Boston, MA: Harvard Business Press.
   Google Scholar
• Di Stasi, L., Marchitto, M., Antolí, A., Baccino, T., & Cañas, J. (2010). Approximation of on-line mental workload index in ATC simulated multitasks. Journal of Air Transport Management, 16(6), 330–333.
   Web of Science ®Google Scholar
• Djamasbi, S., Siegel, M., & Tullis, T. (2010). Generation Y, web design, and eye tracking. International Journal of Human-Computer Studies, 68(5), 307–323.
   Web of Science ®Google Scholar
• Drèze, X., & Hussherr, F. X. (2003). Internet advertising: Is anybody watching? Journal of Interactive Marketing, 17(4), 8–23.
   Google Scholar
• Duchowski, A. (2002). A breadth-first survey of eye-tracking applications. Behavior Research Methods, Instruments, & Computers, 34(4), 455–470.
   PubMedGoogle Scholar
• Dupont, L., Antrop, M., & Van Eetvelde, V. (2014). Eye-tracking analysis in landscape perception research: Influence of photograph properties and landscape characteristics. Landscape Research,39(4), 417–432. doi: 10.1080/01426397.2013.773966
   Web of Science ®Google Scholar
• Dupont, L., Antrop, M., & Van Eetvelde, V. (2015). Does landscape related expertise influence the visual perception of landscape photographs? Implications for participatory landscape planning and management. Landscape and Urban Planning,141, 68–77. doi: 10.1016/j.landurbplan.2015.05.003
   Web of Science ®Google Scholar
• Durko, A., & Petrick, J. (2013). Family and relationship benefits of travel experiences: A literature review. Journal of Travel Research,52(6), 720–730. doi: 10.1177/0047287513496478
   Web of Science ®Google Scholar
• Eghbal-Azar, K., & Widlok, T. (2013). Potentials and limitations of mobile eye tracking in visitor studies: Evidence from field research at two Museum exhibitions in Germany. Social Science Computer Review, 31(1), 103–118.
   Web of Science ®Google Scholar
• Ellert, G., Schafmeister, G., Mueller, F., Dallwig, S., & Phelan, S. (2014). The influence of alcohol on advertising perception and recall during a sports viewing experience. European Sport Management Quarterly, 14(2), 153–170.
   Web of Science ®Google Scholar
• Eraslan, S., Yesilada, Y., & Harper, S. (2016). Eye tracking scanpath analysis on web pages: how many users? Paper presented at the Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, Charleston, SC.
   Google Scholar
• Ert, E., & Fleischer, A. (2016). Mere position effect in booking hotels online. Journal of Travel Research,55(3), 311–321. doi: 10.1177/0047287514559035
   Web of Science ®Google Scholar
• Feighey, W. (2003). Negative image? Developing the visual in tourism research. Current Issues in Tourism, 6(1), 76–85.
   Google Scholar
• Fitts, P., Jones, R., & Milton, J. (1950). Eye movements of aircraft pilots during instrument-landing approaches. Aeronautical Engineering Review, 9(2), 24–29.
   Google Scholar
• Gena, C., De Carolis, B., Kuflik, T., & Nunnari, F. (2016). Advanced Visual Interfaces for Cultural Heritage. Paper presented at the Proceedings of the International Working Conference on Advanced Visual Interfaces, Bari, Italy.
   Google Scholar
• Goferman, S., Zelnik-Manor, L., & Tal, A. (2012). Context-aware saliency detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 34(10), 1915–1926.
   PubMed Web of Science ®Google Scholar
• Goldberg, J., & Helfman, J. (2010). Comparing information graphics: a critical look at eye tracking. Paper presented at the Proceedings of the 3rd BELIV’10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization, Atlanta, GA.
   Google Scholar
• Goldberg, J., & Kotval, X. (1998). Eye movement-based evaluation of the computer interface. In S. Kumar (Ed.), Advances in occupational ergonomics and safety (pp. 529–532). Amsterdam: IOS Press.
   Google Scholar
• Goldberg, J., & Kotval, X. (1999). Computer interface evaluation using eye movements: Methods and constructs. International Journal of Industrial Ergonomics, 24(6), 631–645.
   Web of Science ®Google Scholar
• Goldberg, J., Stimson, M., Lewenstein, M., Scott, N., & Wichansky, A. (2002). Eye tracking in web search tasks: design implications. Paper presented at the Proceedings of the 2002 symposium on Eye tracking research & applications.
   Google Scholar
• Goldberg, J., & Wichansky, A. (2002). Eye tracking in usability evaluation: A practitioner’s guide. In J. Hyona, R. Radach, & H. Deubel (Eds.), The mind’s eye: Cognitive and applied aspects of our eye movement research (pp. 493–516). Amsterdam: Elsevier.
   Google Scholar
• Grant, L., & Bowling, A. (2015). Gambling attitudes and beliefs predict attentional bias in non-problem gamblers. Journal of Gambling Studies, 31(4), 1487–1503.
   PubMed Web of Science ®Google Scholar
• Green, B., Murray, N., & Warner, S. (2011). Understanding website useability: An eye–tracking study of the Vancouver 2010 Olympic games website. International Journal of Sport Management and Marketing, 10(3), 257–271.
   Google Scholar
• Grushko, A., & Leonov, S. (2014). The usage of eye-tracking technologies in rock-climbing. Procedia-Social and Behavioral Sciences, 146, 169–174.
   Google Scholar
• Hao, J., Tang, R., Yu, Y., Li, N., & Law, R. (2015). Visual appeal of hotel websites: An exploratory eye tracking study on Chinese generation Y. In I. Tussyadiah & A. Inversini (Eds.), Information and communication technologies in tourism 2015 (pp. 607–620). Lugano, Switzerland: Springer International Publishing.
   Google Scholar
• Hellmann, A., Yeow, C., & De Mello, L. (2017). The influence of textual presentation order and graphical presentation on the judgements of non-professional investors. Accounting and Business Research, 47(4), 455–470.
   Web of Science ®Google Scholar
• Henderson, J., WeeksJr, P., & Hollingworth, A. (1999). The effects of semantic consistency on eye movements during complex scene viewing. Journal of Experimental Psychology: Human Perception and Performance, 25(1), 210–228.
   Web of Science ®Google Scholar
• Hernandez-Mendez, J., & Munoz-Leiva, F. (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: 10.1016/j.chb.2015.03.017
   Web of Science ®Google Scholar
• Holmqvist, K., Nyström, M., & Mulvey, F. (2012). Eye tracker data quality: what it is and how to measure it. Paper presented at the proceedings of the symposium on eye tracking research and applications, Santa Barbara, CA.
   Google Scholar
• Huddleston, P., Behe, B., Minahan, S., & Fernandez, R. (2015). Seeking attention: An eye tracking study of in-store merchandise displays. International Journal of Retail & Distribution Management, 43(6), 561–574.
   Web of Science ®Google Scholar
• Hui, S., Fader, P., & Bradlow, E. (2009). Path data in marketing: An integrative framework and prospectus for model building. Marketing Science, 28(2), 320–335.
   Web of Science ®Google Scholar
• Jacob, R., & Karn, K. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In R. Radach, J. Hyönä, & H. Deubel (Eds.), The mind’s eye: Cognitive and applied aspects of Eye movement research (pp. 573–605). Amsterdam: Elsevier.
   Google Scholar
• Janiszewski, C. (1993). Preattentive mere exposure effects. Journal of Consumer Research, 20(3), 376–392.
   Web of Science ®Google Scholar
• Just, M., & Carpenter, P. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87(4), 329–354.
   PubMed Web of Science ®Google Scholar
• Kiefer, P., Giannopoulos, I., Kremer, D., Schlieder, C., & Raubal, M. (2014). Starting to get bored: An outdoor eye tracking study of tourists exploring a city panorama. Paper presented at the Proceedings of the Symposium on Eye Tracking Research and Applications, Safety Harbor, FL.
   Google Scholar
• Kim, D., Hwang, Y., & Fesenmaier, D. (2005). Modeling tourism advertising effectiveness. Journal of Travel Research, 44, 42–49.
   Google Scholar
• Kim, J., & McMillan, S. (2008). Evaluation of internet advertising research: A bibliometric analysis of citations from key sources. Journal of Advertising, 37(1), 99–112.
   Web of Science ®Google Scholar
• Krugman, D., Fox, R., Fletcher, J., Fischer, P., & Rojas, T. (1994). Do adolescents attend to warnings in cigarette advertising? An eye-tracking approach. Journal of Advertising Research, 34, 39–39.
   Web of Science ®Google Scholar
• Kuhl, B., & Chun, M. (2014). Memory and attention. In A. Nobre & S. Kastner (Eds.), The Oxford handbook of attention (pp. 806–836). Oxford: Oxford University Press.
   Google Scholar
• LaBerge, D. (1995). Attentional processing: The brain’s art of mindfulness (Vol. 2). Cambridge, MA: Harvard University Press.
   Google Scholar
• Lai, M., Tsai, M., Yang, F., Hsu, C.-Y., Liu, T., Lee, S. W., … Tsai, C. (2013). A review of using eye-tracking technology in exploring learning from 2000 to 2012. Educational Research Review, 10, 90–115.
   Web of Science ®Google Scholar
• Land, M. (1999). Motion and vision: Why animals move their eyes. Journal of Comparative Physiology A, 185(4), 341–352.
   PubMed Web of Science ®Google Scholar
• Leder, H., Mitrovic, A., & Goller, J. (2016). How beauty determines gaze! Facial attractiveness and gaze duration in images of real world scenes. i-Perception, 7(4), 1–12.
   Web of Science ®Google Scholar
• Li, Q., Huang, Z., & Christianson, K. (2016). Visual attention toward tourism photographs with text: An eye-tracking study. Tourism Management, 54, 243–258.
   Web of Science ®Google Scholar
• Li, S., Scott, N., & Walters, G. (2015). Current and potential methods for measuring emotion in tourism experiences: A review. Current Issues in Tourism, 18(9), 805–827.
   Web of Science ®Google Scholar
• Li, S., Walters, G., Packer, J., & Scott, N. (2016). Using skin conductance and facial electromyography to measure emotional responses to tourism advertising. Current Issues in Tourism, 1–23 [Online]. doi: 10.1080/13683500.2016.1223023
   Web of Science ®Google Scholar
• Locher, P., Krupinski, E., Mello-Thoms, C., & Nodine, C. (2007). Visual interest in pictorial art during an aesthetic experience. Spatial Vision, 21(1), 55–77.
   PubMedGoogle Scholar
• Lorigo, L., Haridasan, M., Brynjarsdóttir, H., Xia, L., Joachims, T., Gay, G., … Pan, B. (2008). Eye tracking and online search: Lessons learned and challenges ahead. Journal of the American Society for Information Science and Technology, 59(7), 1041–1052.
   Web of Science ®Google Scholar
• Ma, J., Campos, A., Li, S., Gardiner, S., & Scott, N. (2016). Attention, emotion and hedonic service experiences: Managing and delivering services in the Asian century. Worldwide Hospitality and Tourism Themes, 8(1), 53–60.
   Web of Science ®Google Scholar
• Marchiori, E., & Cantoni, L. (2015). Studying online contents navigation: A comparison between Eye-tracking technique and self-reported investigation. In I. Tussyadiah, & A. Inversini (Eds.), Information and communication technologies in tourism 2015 (pp. 349–359). Lugano, Switzerland: Springer.
   Google Scholar
• Mariussen, A., Von Ibenfeldt, C., & Vespestad, M. K. (2014). The typology and role of online information sources in destination image formation: An eye-tracking study. The International Journal of Digital Accounting Research, 14(20), 141–164.
   Google Scholar
• Mele, M., & Federici, S. (2012). Gaze and eye-tracking solutions for psychological research. Cognitive Processing,13(1), 261–265. doi:10.1007/s10339–012-0499-z
   PubMed Web of Science ®Google Scholar
• Milosavljevic, M., & Cerf, M. (2008). First attention then intention: Insights from computational neuroscience of vision. International Journal of Advertising, 27(3), 381–398.
   Web of Science ®Google Scholar
• Morgan, N., Hastings, E., & Pritchard, A. (2012). Developing a new DMO marketing evaluation framework. Journal of Vacation Marketing,18(1), 73–89. doi: 10.1177/1356766711432225
   Google Scholar
• Naspetti, S., Pierdicca, R., Mandolesi, S., Paolanti, M., Frontoni, E., & Zanoli, R. (2016). Automatic analysis of eye-tracking data for augmented reality applications: A prospective outlook. Paper presented at the International Conference on Augmented Reality, Virtual Reality and Computer Graphics: (AVR), Lecce, Italy: Springer, 217–230.
   Google Scholar
• Neill, J., Hurwitz, D., & Olsen, M. J. (2015). Alternative information signs: Evaluation of driver comprehension and visual attention. Journal of Transportation Engineering, 142(1), 1–12.
   Web of Science ®Google Scholar
• Nelson, D., Graham, D., & Harnack, L. (2014). An objective measure of nutrition facts panel usage and nutrient quality of food choice. Journal of Nutrition Education and Behavior, 46(6), 589–594.
   PubMed Web of Science ®Google Scholar
• Netek, R. (2011). Implementation of Ria concept and Eye tracking system for cultural heritage. Opgeroepen op September, 9, 2012–2019.
   Google Scholar
• Nevelsteen, K. (2013). Attention allocation of traffic environments of international visitors during virtual city walks. Paper presented at the Eye Tracking for Spatial Research, Proceedings of the 1st International Workshop (in conjunction with COSIT 2013).
   Google Scholar
• Noone, B., & Robson, S. (2014). Using Eye tracking to obtain a deeper understanding of what drives online hotel choice. Cornell Hospitality Report, 14(18), 6–16.
   Google Scholar
• Noone, B., & Robson, S. (2016). Understanding consumers’ inferences from price and nonprice information in the online lodging purchase decision. Service Science, 8(2), 108–123.
   Web of Science ®Google Scholar
• Orquin, J., & Loose, S. (2013). Attention and choice: A review on eye movements in decision making. Acta Psychologica, 144(1), 190–206.
   PubMed Web of Science ®Google Scholar
• Ozdemir, B., & Caliskan, O. (2015). Menu design: A review of literature. Journal of Foodservice Business Research,18(3), 189–206. doi: 10.1080/15378020.2015.1051428
   Google Scholar
• Pan, B., Hembrooke, H., Gay, G. K., Granka, L., Feusner, M., & Newman, J. (2004). The determinants of web page viewing behavior: an eye-tracking study. Paper presented at the Proceedings of the 2004 symposium on Eye tracking research & applications, New York.
   Google Scholar
• Pan, B., Zhang, L., & Law, R. (2013). The complex matter of online hotel choice. Cornell Hospitality Quarterly, 54(1), 74–83.
   Web of Science ®Google Scholar
• Pan, B., Zhang, L., & Smith, K. (2011). A mixed-method study of user behavior and usability on an online travel agency. Information Technology & Tourism, 13(4), 353–364.
   Google Scholar
• Pickering, C., & Byrne, J. (2014). The benefits of publishing systematic quantitative literature reviews for PhD candidates and other early-career researchers. Higher Education Research & Development, 33(3), 534–548.
   Web of Science ®Google Scholar
• Pieters, R., Hans, B., & Allen, D. (1995). A means-end chain approach to consumer goal structures. International Journal of Research in Marketing, 12, 227–244.
   Google Scholar
• Pieters, R., Rosbergen, E., & Wedel, M. (1999). Visual attention to repeated print advertising: A test of scanpath theory. Journal of Marketing Research,36(4), 424–438. doi: 10.2307/3151998
   Web of Science ®Google Scholar
• Pieters, R., & Warlop, L. (1999). Visual attention during brand choice: The impact of time pressure and task motivation. International Journal of Research in Marketing, 16(1), 1–16.
   Web of Science ®Google Scholar
• Pieters, R., & Wedel, M. (2004). Attention capture and transfer in advertising: Brand, pictorial, and text-size effects. Journal of Marketing, 68(2), 36–50.
   Web of Science ®Google Scholar
• Pieters, R., & Wedel, M. (2007). Goal control of attention to advertising: The Yarbus implication. Journal of Consumer Research, 34(2), 224–233.
   Web of Science ®Google Scholar
• Posner, M. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32(1), 3–25.
   PubMed Web of Science ®Google Scholar
• Potocka, I. (2013). The lakescape in the eyes of a tourist. Quaestiones Geographicae, 32(3), 85–97.
   Google Scholar
• Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372–422.
   PubMed Web of Science ®Google Scholar
• Rayner, K., Rotello, C., Stewart, A., Keir, J., & Duffy, S. (2001). Integrating text and pictorial information: Eye movements when looking at print advertisements. Journal of Experimental Psychology: Applied, 7(3), 219–226.
   PubMed Web of Science ®Google Scholar
• Robson, S., & Noone, B. (2014). Show me what you see, tell me what you think: Using eye tracking for hospitality research cornell hospitality report. Ithaca, NY: The Center for Hospitality Research, Cornell University.
   Google Scholar
• Ro, T., Friggel, A., & Lavie, N. (2007). Attentional biases for faces and body parts. Visual Cognition,15(3), 322–348. doi: 10.1080/13506280600590434
   Web of Science ®Google Scholar
• Rosa, P. (2015). What do your eyes say? Bridging eye movements to consumer behavior. International Journal of Psychological Research, 8(2), 91–104.
   Web of Science ®Google Scholar
• Salvucci, D., & Goldberg, J. (2000). Identifying fixations and saccades in eye-tracking protocols. Paper presented at the proceedings of the 2000 symposium on Eye tracking research & applications, Florida, USA: ACM, 71–78.
   Google Scholar
• Samant, S., & Seo, H. (2016). Effects of label understanding level on consumers’ visual attention toward sustainability and process-related label claims found on chicken meat products. Food Quality and Preference, 50, 48–56.
   Web of Science ®Google Scholar
• Sang, Å., Tveit, M., Pihel, J., & Hägerhäll, C. (2016). Identifying cues for monitoring stewardship in Swedish pasture landscapes. Land Use Policy, 53, 20–26.
   Web of Science ®Google Scholar
• Scott, N., Green, C., & Fairley, S. (2016). Investigation of the use of eye-tracking to examine tourism advertising effectiveness. Current Issues in Tourism, 19(7), 634–642.
   Web of Science ®Google Scholar
• Scott, N., & Smith, A. (2005). Use of automated content analysis techniques for event image assessment. Tourism Recreation Research, 30(2), 87–91.
   Google Scholar
• Siegel, W., & Ziff-Levine, W. (1990). Evaluating tourism advertising campaigns: Conversion vs. Advertising tracking studies. Journal of Travel Research, 28(3), 51–55.
   Google Scholar
• Sivaji, A., Tzuaan, S., Yang, L., & bin Ali Russin, M. (2014). Hotel photo gallery and Malaysian travelers: Preliminary findings. Paper presented at the User Science and Engineering (i-USEr), 2014 3rd international conference on user science and engineering, Shah Alam, Malaysia.
   Google Scholar
• Steciuk, H., & Zwierko, T. (2015). Gaze behavior in basketball shooting: Preliminary investigations. Trends in Sport Sciences, 22(2), 89–94.
   Google Scholar
• Tatler, B. (2009). Current understanding of eye guidance. Visual Cognition,17(6–7), 777–789. doi: 10.1080/13506280902869213
   Web of Science ®Google Scholar
• Toyama, T., Kieninger, T., Shafait, F., & Dengel, A. (2011). Museum guide 2.0-an eye-tracking based personal assistant for museums and exhibits. Proceedings of the international conference: “Re-Thinking Technology in Museums 2011: Emerging Experiences”, Limerick, Ireland: University of Limerick, 103–110.
   Google Scholar
• Tseng, C., Wu, B., Morrison, A. M., Zhang, J., & Chen, Y.-C. (2015). Travel blogs on China as a destination image formation agent: A qualitative analysis using Leximancer. Tourism Management, 46, 347–358.
   Web of Science ®Google Scholar
• Tzuaan, S. S., Sivaji, A., Yong, L. T., Zanegenh, M. H. T., & Shan, L. (2014). Measuring Malaysian M-commerce user behaviour. Computer and Information Sciences (ICCOINS), 2014 International Conference (ICCOINS), Kuala Lumpur: IEEE, 1–6.
   Google Scholar
• Venkatraman, V., Dimoka, A., Pavlou, P., Vo, K., Hampton, W., Bollinger, B., … Winer, R. (2015). Predicting advertising success beyond traditional measures: New insights from neurophysiological methods and market response modeling. Journal of Marketing Research, 52(4), 436–452.
   Web of Science ®Google Scholar
• Vosskuhler, A., Nordmeier, V., Kuchinke, L., & Jacobs, A. (2008). Ogama (open gaze and mouse analyzer): Open-source software designed to analyze eye and mouse movements in slideshow study designs. Behavior Research Methods, 40(4), 1150–1162.
   PubMed Web of Science ®Google Scholar
• Wang, Y., & Sparks, B. (2016). An eye-tracking study of tourism photo stimuli: Image characteristics and ethnicity. Journal of Travel Research,55(5), 588–602. doi: 10.1177/0047287514564598
   Web of Science ®Google Scholar
• Wedel, M., & Pieters, R. (2008a). Eye tracking for visual marketing. Boston, MA: Now.
   Google Scholar
• Wedel, M., & Pieters, R. (2008b). A review of eye-tracking research in marketing. Review of Marketing Research, 4(2008), 123–147.
   Google Scholar
• Wolfson, J., Graham, D., & Bleich, S. (2017). Attention to physical activity–equivalent calorie information on nutrition facts labels: An eye-tracking investigation. Journal of Nutrition Education and Behavior, 49(1), 35–42.
   PubMed Web of Science ®Google Scholar
• Yang, S. (2012). Eye movements on restaurant menus: A revisitation on gaze motion and consumer scanpaths. International Journal of Hospitality Management,31(3), 1021–1029. doi: 10.1016/j.ijhm.2011.12.008
   Web of Science ®Google Scholar
• Yang, E., Khoo-Lattimore, C., & Arcodia, C. (2017). A systematic literature review of risk and gender research in tourism. Tourism Management, 58, 89–100.
   Web of Science ®Google Scholar