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A Scoping Review of Mental Model Research in HCI from 2010 to 2021

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Abstract

Research on mental models has been ongoing in Human-Computer Interaction (HCI) since the 1980s. A mental model derives from humans’ perception, memories, knowledge, and causal beliefs about the external reality, mediating how they describe, explain, and predict the world surrounding them. By understanding users’ mental models of a target system, designers can improve the learnability and usability of a system via a better interface. Although understanding mental models is important for interface design, unfortunately understanding what is meant by the term ‘mental model’ can be a challenge. The field has historically been plagued by inconsistent usage of the term, as pointed out by prior researchers. It has been some time since the last comprehensive evaluation of HCI-related mental model research. This scoping review provides a comprehensive overview of the current literature on mental model research in HCI from 2010 to 2021, exploring aspects such as where research has been conducted, by whom, on what, using which methods, and for which purposes. The findings suggest a growing diversity in approach, with new perspectives and methodologies being introduced. Our review was initiated by a desire to understand the state of the art of mental models research, and sustained by a sense of confusion about the different ways that different researchers used the term. We hope that it will help people new to the field to make sense of the rich, diverse, but at times rather confusing ways that the term ‘mental model’ is used in HCI research.

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References

  1. Holtrop, J.S., Scherer, L.D., Matlock, D.D., Glasgow, R.E., Green, L.A.: The importance of mental models in implementation science. Front. Publ. Health 9 (2021). https://www.frontiersin.org/article/10.3389/fpubh.2021.680316. Accessed 16 May 2022

  2. Johnson-Laird, P.N.: The history of mental models. In: Psychology of Reasoning. Psychology Press (2004)

    Google Scholar 

  3. Lee, Y.-C., Malcein, L.A.: Users’ mental models for computer-mediated communication: theorizing emerging technology and behavior in eHealth applications. Hum. Behav. Emerg. Technol. 2(4), Article no. 4 (2020). https://doi.org/10.1002/hbe2.212

  4. Rouse, W.B., Morris, N.M.: On looking into the black box: prospects and limits in the search for mental models. Psychol. Bull. 100(3), 349–363 (1986). https://doi.org/10.1037/0033-2909.100.3.349

    Article  Google Scholar 

  5. Scheutz, M.: Computational mechanisms for mental models in human-robot interaction. In: Shumaker, R. (ed.) VAMR 2013. LNCS, vol. 8021, pp. 304–312. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39405-8_34

    Chapter  Google Scholar 

  6. Wilson, J.R., Rutherford, A.: Mental models: theory and application in human factors. Hum. Factors 31(6), 617–634 (1989). https://doi.org/10.1177/001872088903100601

    Article  Google Scholar 

  7. Norman, D.A.: Some observations on mental models. In: Mental Models. Psychology Press (1983)

    Google Scholar 

  8. Payne, S.J.: Users’ Mental Models: The Very Ideas. Elsevier Inc., Amsterdam (2003). https://doi.org/10.1016/B978-155860808-5/50006-X

  9. Craik, K.J.W.: The Nature of Explanation, pp. viii, 123. University Press, Macmillan, Oxford (1943)

    Google Scholar 

  10. Gentner, D., Stevens, A.L.: Mental Models. Psychology Press (1983)

    Google Scholar 

  11. Johnson-Laird, P.N.: Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Harvard University Press (1983)

    Google Scholar 

  12. Card, S.K., Moran, T.P., Newell, A.: The Psychology of Human-Computer Interaction | Guide Books (1983). https://dl.acm.org/doi/abs/10.5555/578027. Accessed 13 Apr 2022

  13. Ahmed, F.: Profile of Philip N. Johnson-Laird. Proc. . Acad. Sci. USA 108(50), 19862–19864 (2011). https://doi.org/10.1073/pnas.1117174108

    Article  Google Scholar 

  14. Combefis, S., Giannakopoulou, D., Pecheur, C., Feary, M.: A formal framework for design and analysis of human-machine interaction. In: 2011 IEEE International Conference on 2011 IEEE International Conference on Systems, Man, and Cybernetics, Systems, Man, and Cybernetics (SMC), pp. 1801–1808, October 2011. https://doi.org/10.1109/ICSMC.2011.6083933

  15. Rowe, A.L., Cooke, N.J., Neville, K.J., Schacherer, C.W.: Mental models of metal models: a comparison of mental model measurement techniques. In: Proceedings of the Human Factors Society Annual Meeting, vol. 36, no. 16, pp. 1195–1199, October 1992. https://doi.org/10.1177/154193129203601603

  16. Cooke, N.J., Rowe, A.L.: Evaluating mental model elicitation methods. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 38, no. 4, Art. no. 4, October 1994. https://doi.org/10.1177/154193129403800416

  17. Paivio, A.: Mental Representations: A Dual Coding Approach. Oxford University Press, Oxford (1990)

    Google Scholar 

  18. Sasse, M.A.: Eliciting and describing users’ models of computer systems. Electronic thesis or dissertation (1997). [Online]

    Google Scholar 

  19. Nielsen, J.: A meta-model for interacting with computers. Interact. Comput.Comput. 2(2), 147–160 (1990). https://doi.org/10.1016/0953-5438(90)90020-I

    Article  MathSciNet  Google Scholar 

  20. Arksey, H., O’Malley, L.: Scoping Studies: Towards a Methodological Framework. vol. 8, no. 1, pp. 19–32, February 2005. https://doi.org/10.1080/1364557032000119616

  21. Pham, M.T., Rajić, A., Greig, J.D., Sargeant, J.M., Papadopoulos, A., McEwen, S.A.: A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res. Synth. Methods 5(4), 371–385 (2014). https://doi.org/10.1002/jrsm.1123

    Article  Google Scholar 

  22. Long, R., Zhang, J.: Research on information architecture based on graphic reasoning and mental model. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 850, pp. 85–92. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92270-6_12

    Chapter  Google Scholar 

  23. Khairuddin, I.E., Sas, C., Speed, C.: BlocKit: a physical kit for materializing and designing for blockchain infrastructure. In: DIS – Proceedings of ACM Designing Interactive Systems Conference, pp. 1449–1462 (2019). https://doi.org/10.1145/3322276.3322370

  24. Long, R., Liu, X., Lei, T., Chen, X., Jin, Z.: The impact of chinese traditional cultural on the gesture and user experience in mobile interaction design. In: Rau, P.-L.P. (ed.) CCD 2017. LNCS, vol. 10281, pp. 49–58. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57931-3_5

    Chapter  Google Scholar 

  25. Renzi, A.B., Freitas, S.: Affordances and gestural interaction on multi-touch interface systems: building new mental models. In: Marcus, A. (ed.) DUXU 2014. LNCS, vol. 8518, pp. 615–623. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07626-3_58

    Chapter  Google Scholar 

  26. Du, Y., Qin, J., Zhang, S., Cao, S., Dou, J.: Voice user interface interaction design research based on user mental model in autonomous vehicle. In: Kurosu, M. (ed.) HCI 2018. LNCS, vol. 10903, pp. 117–132. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91250-9_10

    Chapter  Google Scholar 

  27. Dechand, S., Naiakshina, A., Danilova, A., Smith, M.: In encryption we don’t trust: the effect of end-to-end encryption to the masses on user perception. In: Proceedings - IEEE European Symposium on Security and Privacy, EURO S P, pp. 401–415 (2019). https://doi.org/10.1109/EuroSP.2019.00037

  28. Prettyman, S.S., Furman, S., Theofanos, M., Stanton, B.: Privacy and security in the brave new world: the use of multiple mental models. In: Tryfonas, T., Askoxylakis, I. (eds.) HAS 2015. LNCS, vol. 9190, pp. 260–270. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20376-8_24

    Chapter  Google Scholar 

  29. Bertrand, P., Guegan, J., Robieux, L., McCall, C.A., Zenasni, F.: Learning empathy through virtual reality: multiple strategies for training empathy-related abilities using body ownership illusions in embodied virtual reality. Front. Robot. AI 5 (2018). https://doi.org/10.3389/frobt.2018.00026

  30. Vlist, B., Niezen, G., Rapp, S., Hu, J., Feijs, L.: Configuring and controlling ubiquitous computing infrastructure with semantic connections: a tangible and an AR approach. Pers. Ubiquit. Comput.Ubiquit. Comput. 17(4), 783–799 (2013)

    Article  Google Scholar 

  31. Van Kerckhoven, J., Geldof, S., Vermeersch, B.: Contextual inquiry in signal boxes of a railway organization. In: Palanque, P., Vanderdonckt, J., Winckler, M. (eds.) HESSD 2009. LNCS, vol. 5962, pp. 96–106. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-11750-3_8

    Chapter  Google Scholar 

  32. Rutjes, H., Willemsen, M., IJsselsteijn, W.: “Considerations on explainable AI and users’ mental models. In: Where is the Human? Bridging the Gap Between AI and HCI: Workshop at CHI’19, 4–9 May 2019, Glasgow, Scotland UK, May 2019. https://research.tue.nl/en/publications/considerations-on-explainable-ai-and-users-mental-models. Accessed 10 Jan 2022

  33. Coopamootoo, K.P.L., Groß, T.: Mental models for usable privacy: a position paper. In: Tryfonas, T., Askoxylakis, I. (eds.) HAS 2014. LNCS, vol. 8533, pp. 410–421. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07620-1_36

    Chapter  Google Scholar 

  34. Johns, J.D.: Strategic design: breaking mental models initiates learning in video games. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2017. LNCS, vol. 10295, pp. 443–461. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58509-3_35

    Chapter  Google Scholar 

  35. Chunpir, H.I., Ludwig, T.: A software to capture mental models. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2017. LNCS, vol. 10279, pp. 393–409. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58700-4_32

    Chapter  Google Scholar 

  36. Pantförder, D., Schaupp, J., Vogel-Heuser, B.: Making implicit knowledge explicit – acquisition of plant staff’s mental models as a basis for developing a decision support system. In: Stephanidis, C. (ed.) HCI 2017. CCIS, vol. 713, pp. 358–365. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58750-9_50

    Chapter  Google Scholar 

  37. Lei, T., Liu, X., Wu, L., Jin, Z., Wang, Y., Wei, S.: The influence of matching degree of the user’s inherent mental model and the product’s embedded mental model on the mobile user experience. In: Kurosu, M. (ed.) HCI 2016. LNCS, vol. 9732, pp. 320–329. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39516-6_31

    Chapter  Google Scholar 

  38. Nishimoto, H., Koyanagi, T., Sarata, M., Kinoshita, A., Okuda, M.: “Memes” UX-design methodology based on cognitive science regarding instrumental activities of daily living. In: Duffy, V.G. (ed.) HCII 2019. LNCS, vol. 11582, pp. 264–273. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22219-2_20

    Chapter  Google Scholar 

  39. Phillips, R., Lockton, D., Baurley, S., Silve, S.: Making instructions for others: exploring mental models through a simple exercise. In: Interactions 20(5), Article no. 5 (2013). https://doi.org/10.1145/2505290

  40. Chammas, A., Quaresma, M., Mont’Alvão, C.R.: Children’s mental model as a tool to provide innovation in digital products. In: Marcus, A. (ed.) DUXU 2015. LNCS, vol. 9187, pp. 23–33. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20898-5_3

    Chapter  Google Scholar 

  41. Hvorecký, J., Drlík, M., Munk, M.: Enhancing database querying skills by choosing a more appropriate interface. In: IEEE EDUCON 2010 Conference, Education Engineering (EDUCON), April 2010, pp. 1897–1905. IEEE (2010). https://doi.org/10.1109/EDUCON.2010.5492434

  42. Varga, E., Pattynama, P., Freudenthal, A.: Manipulation of mental models of anatomy in interventional radiology and its consequences for design of human-computer interaction. Cogn. Technol. Work 15(4), Article no. 4 (2013)

    Google Scholar 

  43. Yarosh, S., Zave, P.: Locked or not? Mental models of IoT feature interaction. In: Conference on Human Factors in Computing Systems and Processing, vol. 2017-May, pp. 2993–2997 (2017). https://doi.org/10.1145/3025453.3025617

  44. van den Bosch, K., Schoonderwoerd, T., Blankendaal, R., Neerincx, M.: Six challenges for human-AI co-learning. In: Sottilare, R.A., Schwarz, J. (eds.) HCII 2019. LNCS, vol. 11597, pp. 572–589. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22341-0_45

    Chapter  Google Scholar 

  45. Beimel, D., Kedmi-Shahar, E.: Improving the identification of functional system requirements when novice analysts create use case diagrams: the benefits of applying conceptual mental models. Requir. Eng. 24(4), Article no. 4 (2019). https://doi.org/10.1007/s00766-018-0296-z

  46. Dou, J., Qin, J.: Research on user mental model acquisition based on multidimensional data collaborative analysis in product service system innovation process. In: Harris, D. (ed.) EPCE 2017. LNCS (LNAI), vol. 10276, pp. 35–44. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58475-1_3

    Chapter  Google Scholar 

  47. Loeffler, D., Hurtienne, J., Hess, A., Maier, A., Schmitt, H.: Developing intuitive user interfaces by integrating users’ mental models into requirements engineering. In: HCI 2013 - 27th International British Computer Society Human Computer Interaction Conference: The Internet of Things (2013). https://doi.org/10.14236/ewic/hci2013.14

  48. Qian, X., Yang, Y., Gong, Y.: The art of metaphor: a method for interface design based on mental models. In: Proceedings of VRCAI: ACM SIGGRAPH Conference on Virtual Reality and Continuum Its Applications Industry, Hong Kong, pp. 171–178 (2011). https://doi.org/10.1145/2087756.2087780

  49. Revell, K.M.A., Stanton, N.A.: Models of models: filtering and bias rings in depiction of knowledge structures and their implications for design. Ergonomics 55(9), Article no. 9, Sep. 2012

    Google Scholar 

  50. Coopamootoo, K.P.L., Groß, T.: Mental models of online privacy: structural properties with cognitive maps. In: Proceedings of the 28th International BCS Human Computer Interaction Conference: Sand, Sea and Sky - Holiday HCI, HCI 2014, pp. 287–292 (2014). https://doi.org/10.14236/ewic/hci2014.46

  51. Gondomar, R., Mor, E.: Understanding agency in human-computer interaction design. In: Kurosu, M. (ed.) HCII 2021. LNCS, vol. 12762, pp. 137–149. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78462-1_10

    Chapter  Google Scholar 

  52. Payne, S.J.: Mental models in human-computer interaction. In: The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, 3rd edn, pp. 41–54. CRC Press, Boca Raton (2012). https://doi.org/10.1201/b11963-ch-3

  53. Heuer, T., Stein, J.: From HCI to HRI: about users, acceptance and emotions. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds.) IHSED 2019. AISC, vol. 1026, pp. 149–153. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27928-8_23

    Chapter  Google Scholar 

  54. Albalawi, T.F.: Quantifying the effect of cognitive biases on security decision-making (2018)

    Google Scholar 

  55. Kulesza, T., Burnett, M., Kwan, I., Stumpf, S.: Tell me more? The effects of mental model soundness on personalizing an intelligent agent. I:n Conference on Human Factors in Computing Systems - Proceedings, January 2012, pp. 1–10 (2012). https://doi.org/10.1145/2207676.2207678

  56. Doi, T., Ishihara, K., Yamaoka, T.: Verification of the questionnaire for the level of mental models building. In: Stephanidis, C. (ed.) HCI 2013. CCIS, vol. 373, pp. 105–108. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39473-7_22

    Chapter  Google Scholar 

  57. Jones, N., Ross, H., Lynam, T., Perez, P., Leitch, A.: Mental models: an interdisciplinary synthesis of theory and methods. Ecol. Soc. 16(1), Article no. 1 (2011). https://doi.org/10.5751/ES-03802-160146

  58. Zhang, L., Zhang, X., Duan, Y., Fu, Z., Wang, Y.: Evaluation of learning performance of e-learning in China: a methodology based on change of internal mental model of learners. Turk. Online J. Educ. Technol. - TOJET 9(1), 70–82 (2010)

    Google Scholar 

  59. Spero, E., Stojmenović, M., Biddle, R.: Helping users secure their data by supporting mental models of VeraCrypt. In: Stephanidis, C. (ed.) HCII 2019. CCIS, vol. 1032, pp. 211–218. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-23522-2_27

    Chapter  Google Scholar 

  60. Valdez, A.C., Ziefle, M., Sedlmair, M.: Priming and anchoring effects in visualization. IEEE Trans. Vis. Comput. Graph.Comput. Graph. 24(1), 584–594 (2018). https://doi.org/10.1109/TVCG.2017.2744138

    Article  Google Scholar 

  61. Lei, T., et al.: Gestures: the reformer of the user’s mental model in mobile HCI. In: Design, User Experience & Usability. User Experience Design for Diverse Interaction Platforms & Environments, pp. 586–597, January 2014

    Google Scholar 

  62. Nelles, J., Kuz, S., Schlick, C.M.: Ergonomic visualization of logistical control parameters for flexible production planning and control in future manufacturing systems. In: Stephanidis, C. (ed.) HCI 2015. CCIS, vol. 529, pp. 684–689. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21383-5_116

    Chapter  Google Scholar 

  63. Filippi, S., Barattin, D.: Considering users’ different knowledge about products to improve a UX evaluation method based on mental models. In: Marcus, A., Wang, W. (eds.) DUXU 2018. LNCS, vol. 10918, pp. 367–378. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91797-9_26

    Chapter  Google Scholar 

  64. Jenness, J., Lenneman, J., Benedick, A., Huey, R., Jaffe, J., Singer, J., Yahoodik, S.: Spaceship, guardian, coach: drivers’ mental models of advanced vehicle technology. In: Stephanidis, C. (ed.) HCII 2019. CCIS, vol. 1034, pp. 351–356. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-23525-3_46

    Chapter  Google Scholar 

  65. Di Mascio, T., Gennari, R., Tarantino, L., Vittorini, P.: Designing visualizations of temporal relations for children: action research meets HCI. Multimedia Tools Appl. 76(4), Article no. 4 (2017). https://doi.org/10.1007/s11042-016-3609-6

  66. Xie, B., Zhou, J.: The influence of mental model similarity on user performance: comparing older and younger adults. In: Zhou, J., Salvendy, G. (eds.) ITAP 2017. LNCS, vol. 10298, pp. 569–579. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58536-9_45

    Chapter  Google Scholar 

  67. Acemyan, C.Z., Kortum, P., Byrne, M.D., Wallach, D.S.: Users’ mental models for three end-to-end voting systems: Helios, Prêt à voter, and scantegrity II. In: Tryfonas, T., Askoxylakis, I. (eds.) HAS 2015. LNCS, vol. 9190, pp. 463–474. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20376-8_41

    Chapter  Google Scholar 

  68. Zheng, Y., Zhao, G.: Natural interaction in video image investigation and its evaluation. In: Harris, D. (ed.) EPCE 2018. LNCS (LNAI), vol. 10906, pp. 520–532. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91122-9_42

    Chapter  Google Scholar 

  69. Mlilo, S., Thatcher, A.: Mental models: have users’ mental models of web search engines improved in the last ten years? In: Harris, D. (ed.) EPCE 2011. LNCS (LNAI), vol. 6781, pp. 243–253. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21741-8_27

    Chapter  Google Scholar 

  70. Nourani, M., et al.: Anchoring bias affects mental model formation and user reliance in explainable AI systems. In: International Conference on Intelligent User Interfaces Proceedings, IUI, pp. 340–350 (2021). https://doi.org/10.1145/3397481.3450639

  71. NazariShirehjini, A.A., SoltaniNejad, F., Saniee-Monfared, G., Semsar, A., Shirmohammadi, S.: Mental model development using collaborative 3D virtual environments. In: Streitz, N., Markopoulos, P. (eds.) DAPI 2016. LNCS, vol. 9749, pp. 279–290. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39862-4_26

    Chapter  Google Scholar 

  72. Lai, L.-L.: How do they tag? Senior adults’ tagging behavior in cultural heritage information. In: Nah, F.F.-H., Xiao, B.S. (eds.) HCIBGO 2018. LNCS, vol. 10923, pp. 475–484. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91716-0_38

    Chapter  Google Scholar 

  73. Chen, Z., Su, Z.: Using participatory design methods to study users’ emotional experiences. In: Proceedings of International Conference on E-Business E-Goverence, ICEE, Guangzhou, pp. 425–428 (2010). https://doi.org/10.1109/ICEE.2010.115

  74. González, V.M., Juárez, R.: How do you understand Twitter?: Analyzing mental models, understanding and learning about complex interactive systems. In: Collazos, C., Liborio, A., Rusu, C. (eds.) CLIHC 2013. LNCS, vol. 8278, pp. 103–110. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-03068-5_18

    Chapter  Google Scholar 

  75. Wohler, M., Loy, F., Schulte, A.: Mental models as common ground for human-agent interaction in cognitive assistant systems. In: HCI-Aero 2014 - Proceedings of the International Conference on Human-Computer Interaction in Aerospace, vol. 30 (2014). https://doi.org/10.1145/2669592.2669686

  76. Goodrich, M.A., Yi, D.: Toward task-based mental models of human-robot teaming: a Bayesian approach. In: Shumaker, R. (ed.) VAMR 2013. LNCS, vol. 8021, pp. 267–279. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39405-8_30. http://www.library.illinois.edu/proxy/go.php?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselc&AN=edselc.2-52.0-84884829119&site=eds-live&scope=site

  77. Johnson-Laird, P.N.: Mental models and human reasoning. PNAS 107(43), Article no. 43 (2010). https://doi.org/10.1073/pnas.1012933107

  78. Kramer, J., Noronha, S.: Designing with the user in mind a cognitive category based design methodology. In: Marcus, A. (ed.) DUXU 2014. LNCS, vol. 8520, pp. 152–163. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07638-6_16

    Chapter  Google Scholar 

  79. Calero Valdez, A., Ziefle, M., Alagöz, F., Holzinger, A.: Mental models of menu structures in diabetes assistants. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010. LNCS, vol. 6180, pp. 584–591. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14100-3_87

    Chapter  Google Scholar 

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Hu, X., Twidale, M. (2023). A Scoping Review of Mental Model Research in HCI from 2010 to 2021. In: Kurosu, M., et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14054. Springer, Cham. https://doi.org/10.1007/978-3-031-48038-6_7

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