Eye Tracking to Evaluate the User eXperience (UX): Literature Review

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  • Matías García 8 &
  • Sandra Cano 8  

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13315))

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  • International Conference on Human-Computer Interaction

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User eXperience (UX) shapes the way how users interact with products, systems, and services therefore it is necessary to be able to accurately evaluate how this interaction behaves. We propose a review of some of the most relevant articles and how their discoveries impact this line of research including a list of metrics that jointly translate the raw variables captured by an eye tracker to results related to aspects of the UX model of a product. It is also discussed how state of the art Passive Eye tracking Technologies (PET) offer a cheap and simple way of implementing these experiments within the budget limit constraints, reviewing their pros and cons for future investigations that wish to apply this technology for evaluating UX and even carry out massive Eye Tracking studies with experiments done remotely with the help of cloud technology.

  • Eye tracking
  • User eXperience (UX)
  • Human-computer interaction

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Shi, A., Huo, F., Hou, G.: Effects of design aesthetics on the perceived value of a product. Front Psychol. 12 , 670800 (2021). https://doi.org/10.3389/fpsyg.2021.670800

ISO (2008). ISO 9241-210:2008, Ergonomics of human system interaction - Part 210: Human centred design for interactive systems. Geneve: ISO

Google Scholar  

Takacs, Z.K., Bus, A.G.: How pictures in picture storybooks support young children’s story comprehension: an eye-tracking experiment. J. Exp. Child Psychol. 174 , 1–12 (2018). https://doi.org/10.1016/j.jecp.2018.04.013 , ISSN 0022-0965

Gibbons, A.: Multimodality, Cognition, and Experimental Literature, 1st edn. Routledge (2011). https://doi.org/10.4324/9780203803219

Lukander, K.: A short review and primer on eye tracking in human computer interaction applications (2016)

Roda, C., Thomas, J.: Attention aware systems: Theories, applications, and research agenda. Comput. Hum. Behav. 22 , 557–587 (2006)

Article   Google Scholar  

Eriksen, C.W., Yeh, Y.-Y.: Allocation of attention in the visual field. J. Exp. Psychol. Hum. Percept. Perform. 11 , 583–597 (1985)

Just, M.A., Carpenter, P.A.: A theory of reading: from eye fixations to comprehension. Psychological Rev. 87 , 329–354 (1980)

Toreini, P., Langner, M., Maedche, A.: Using eye-tracking for visual attention feedback. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, P.-M., Randolph, A., Fischer, T. (eds.) Information Systems and Neuroscience. LNISO, vol. 32, pp. 261–270. Springer, Cham (2020). Doi: https://doi.org/10.1007/978-3-030-28144-1_29

Socas, V., González, C., Caratelli, S.: Emotional Navigation in nonlinear narratives. In: Proceedings of the XV International Conference on Human Computer Interaction - Interacción ’14 (2014). https://doi.org/10.1145/2662253.2662271

Linse, K., Rüger, W., Joos, M., Schmitz-Peiffer, H., Storch, A., Hermann, A.: Usability of eyetracking computer systems and impact on psychological wellbeing in patients with advanced amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis Frontotemporal Degeneration 19 (3-4), 212–219 (2018). https://doi.org/10.1080/21678421.2017.1392576

Hwang, Y.M., Lee, K.C.: Using eye tracking to explore consumers’ visual behavior according to their shopping motivation in mobile environments. Cyberpsychol. Behav. Soc. Networking 20 (7), 442–447 (2017). Doi: https://doi.org/10.1089/cyber.2016.0235

Bott Nicholas, T., Alex, L., Dorene, R., Elizabeth, B., Paul, Zola Stuart

Web Camera Based Eye Tracking to Assess Visual Memory on a Visual Paired Comparison Task. Frontiers in Neuroscience, vol 11 (2017). https://doi.org/10.3389/fnins.2017.00370

Ansari, M.F., Kasprowski, P., Obetkal, M.: Gaze tracking using an unmodified web camera and convolutional neural network. Appl. Sci. 11 , 9068 (2021). https://doi.org/10.3390/app11199068

Brächter, T., Gerhardt, D.: Camera image based method of real time gaze detection and interaction. Int. J. Sci. Res. Publ. (IJSRP) 10 (11) (2020)

Xiao, F., Zheng, D., Huang, K., Qiu, Y., Shen, H.: A single camera gaze tracking system under natural light. J. Eye Move. Res.  11 (4) (2018). https://doi.org/10.16910/jemr.11.4.5 . https://doi.org/10.16910/jemr.11.4.5

Kaehler, A., Bradski, G.: Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. O’Reilly Media, Inc., CA (2016)

Viola, P., Jones, M.: Robust real-time face detection. In: Proceedings of International Conference Computer Vision, vol II, p. 747 (2001)

Gholami, Y., Taghvaei, S.H., Norouzian-Maleki, S., Sepehr, R.M.: Identifying the stimulus of visual perception based on eye-tracking in urban parks: case study of Mellat Park in Tehran. J. For. Res. 26 (2), 91–100 (2021). https://doi.org/10.1080/13416979.2021.1876286

Zeng, Z., Liu, S., Cheng, H., Liu, H., Li, Y., Feng, Y.: Feliz Wilhelm Siebert. GaVe: A Webcam- Based Gaze Vending Interface Using One-Point Calibration (2022). https://arxiv.org/abs/2201.05533

Lame, A.: Eye tracking library easily implementable to your projects, February 2019. https://github.com/antoinelame/GazeTracking

Kar, A., Corcoran, P.: A review and analysis of eye-gaze estimation systems, algorithms and performance evaluation methods in consumer platforms. IEEE Access 5 , 16495–16519 (2017). https://doi.org/10.1109/ACCESS.2017.2735633

Arksey, H., O’Malley, L.: Scoping studies: towards a methodological framework. Int. J. Soc. Res. Methodol. 8 (1), 19–32 (2005). https://doi.org/10.1080/1364557032000119616

Kitchenham, B.A.: Procedures for undertaking systematic reviews. Joint Technical report, Computer Science Department, Keele University (TR/SE- 0401) and National ICT Australia Ltd. (0400011T.1) (2004)

Djamasbi, S., Siegel, M., Skorinko, J., Tullis, T.: Online viewing and aesthetic preferences of generation Y and the baby boom generation: testing user web site experience through eye tracking. Int. J. Electron. Commer. 15 (4), 121–158 (2011). https://doi.org/10.2753/jec1086-4415150404

Guo, F., Ding, Y., Liu, W., Liu, C., Zhang, X.: Can eye-tracking data be measured to assess product design? visual attention mechanism should be considered. Int. J. Ind. Ergon. 53 , 229–235 (2016). https://doi.org/10.1016/j.ergon.2015.12.001

Qu, Q.X., Guo, F., Duffy, V.G.: Effective use of human physiological metrics to evaluate website usability. Aslib J. Inf. Manag. 69 (4), 370–388 (2017). https://doi.org/10.1108/ajim-09-2016-0155

Joseph, A.W., Murugesh, R.: Potential eye tracking metrics and indicators to measure cognitive load in human-computer interaction research. J. Sci. Res. 64 (01), 168–175 (2020). https://doi.org/10.37398/jsr.2020.640137

Xu, J., Zhang, Z.: Research on user experience based on competition websites. J. Phys: Conf. Ser. 1875 (1), 012014 (2021). https://doi.org/10.1088/1742-6596/1875/1/012014

Article   MathSciNet   Google Scholar  

Kuo, J.Y., Chen, C.H., Koyama, S., Chang, D.: Investigating the relationship between users’ eye movements and perceived product attributes in design concept evaluation. Appl. Ergon. 94 , 103393 (2021). https://doi.org/10.1016/j.apergo.2021.103393

Zammarchi, G., Frigau, L., Mola, F.: Markov chain to analyze web usability of a university website using eye tracking data. Stat. Anal. Data Mining ASA Data Sci. J. 14 (4), 331–341 (2021). https://doi.org/10.1002/sam.11512

Joseph, A.W., Jeevitha Shree, D.V., Saluja, K.P.S., Mukhopadhyay, A., Murugesh, R., Biswas, P.: Eye tracking to understand impact of aging on mobile phone applications. In: Chakrabarti, A., Poovaiah, R., Bokil, P., Kant, V. (eds.) ICoRD 2021. SIST, vol. 221, pp. 315–326. Springer, Singapore (2021). Doi: https://doi.org/10.1007/978-981-16-0041-8_27

Guo, F., Chen, J., Li, M., Lyu, W., Zhang, J.: Effects of visual complexity on user search behavior and satisfaction: an eye-tracking study of mobile news apps. Universal Access in the Information Society. Published (2021). https://doi.org/10.1007/s10209-021-00815-1

Hammoud, R.I.: Passive Eye Monitoring: Algorithms, applications and experiments. Springer. https://doi.org/10.1007/978-3-540-75412-1

Just, M.A., Carpenter, P.A.: The role of eye-fixation research in cognitive psychology. Behav. Res. Methods Instrum. 8 , 139–143 (1976)

Poole, A., Ball, L.J., Phillips, P.: In search of salience: a response time and eye movement analysis of bookmark recognition. In: Fincher, S., Markopolous, P., Moore, D., Ruddle, R. (eds.) People and Computers XVIII-Design for Life: Proceedings of HCI 2004. Springer-Verlag Ltd., London (2004)

Byrne, M.D., Anderson, J.R., Douglas, S., Matessa, M.: Eye tracking the visual search of click-down menus. In: Proceedings of CHI 99. pp. 402–409. ACM Press, NY (1999)

Morville, P.: User Experience Design. Semantic Studios (2004). http://semanticstudios.com/user_experience_design/

Papoutsaki, A., Sangkloy, P., Laskey, J., Daskalova, N., Huang, J., Hays, J.: WebGazer: scalable webcam eye tracking using user interactions. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 3839–3845 (2016). https://www.ijcai.org/Abstract/16/540

Dalmaijer, E.S., Mathôt, S., Van der Stigchel, S.: PyGaze: an open-source, cross-platform toolbox for minimal-effort programming of eyetracking experiments. Behav. Res. Methods 46 (4), 913–921 (2013). https://doi.org/10.3758/s13428-013-0422-2

Zieliński, P.: Opengazer: open-source gaze tracker for ordinary webcams. OpenGazer (2009). http://www.inference.org.uk/opengazer/

GazeRecorder. (21 2021 septiembre). GazeCloudAPI | Real-Time online Eye-Tracking API. GazeCloud. https://gazerecorder.com/gazecloudapi/ . Accessed 12 Nov 2021

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Matías García & Sandra Cano

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García, M., Cano, S. (2022). Eye Tracking to Evaluate the User eXperience (UX): Literature Review. In: Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer, Cham. https://doi.org/10.1007/978-3-031-05061-9_10

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COMMENTS

  1. User experience framework that combines aspects, dimensions

    A systematic literature review to identify various UX terms has been conducted and published in (Zarour & Alharbi, Citation 2017). Figure 4 summarizes the adopted systematic literature review process to select primary studies. A total of 114 primary studies out of 2,331 papers have been collected and analyzed, based on a defined set of ...

  2. How to Conduct a Literature Review for UX Research

    A literature review is a systematic and critical analysis of existing sources related to a specific topic or research question. It helps you to identify gaps, trends, and opportunities for your UX ...

  3. Eye Tracking to Evaluate the User eXperience (UX): Literature

    Abstract. User eXperience (UX) shapes the way how users interact with products, systems, and services therefore it is necessary to be able to accurately evaluate how this interaction behaves. We propose a review of some of the most relevant articles and how their discoveries impact this line of research including a list of metrics that jointly ...