skip to main content
research-article

How to Arrange Texts and Pictures for Online Visitors — Comparing Basic Ceramic Display Forms with Eye Tracking

Published:26 March 2024Publication History
Skip Abstract Section

Abstract

In the context of online text–picture relic exhibitions, two exploratory experiments were conducted to investigate the role of integrated/separate display, background information, and annotation type in learning tangible heritage. Using ceramics as an example, we tracked the eye movement of subjects under different display forms and tested whether they obtained the relevant information. Experiment 1 (N = 48) adopted a 2 (integrated/separate display) × 2 (with/without background information) design and Experiment 2 (N = 93) investigated distinct types of annotation (no annotation, indicative/direct/picture/contour shape annotation). We found that the following. (1) In the segmented relic display, the usage time, fixation count, and total fixation duration of relic names were lower than those in the integrated case. The probability that subjects would learn comparatively was also lower in the separate display. However, the performance on retention or transfer tests did not differ depending on the integrated/separate display. After reading the background information, subjects paid less attention to relic names but had better knowledge transfer performance. (2) The viewers’ attention allocation to the materials was not significantly influenced by the annotations. Mere visual annotations did not provide an advantage for information acquisition. By contrast, indicative verbal annotation required relatively more time for better target information memory, and the direct verbal cue consumed the least time. Based on the results, we discussed the application scenario of multimedia learning principles and potential recommendations for designing online relic displays.

REFERENCES

  1. [1] Seifert Christin, Bailer Werner, Orgel Thomas, Gantner Louis, Kern Roman, Ziak Hermann, Petit Albin, Schlötterer Jörg, Zwicklbauer Stefan, and Granitzer Michael. 2017. Ubiquitous access to digital cultural heritage. ACM J. Comput. Cult. Herit. 10, 1 (April2017), 127. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. [2] Karaman Svebor, Bagdanov Andrew D., Landucci Lea, D’Amico Gianpaolo, Ferracani Andrea, Pezzatini Daniele, and Bimbo Alberto Del. 2016. Personalized multimedia content delivery on an interactive table by passive observation of museum visitors. Multimed. Tools Appl. 75 (April2016), 37873811. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. [3] UNESCO. 2020. Museums Around the World in the Face of COVID-19. (2020). https://unesdoc.unesco.org/ark:/48223/pf0000373530Google ScholarGoogle Scholar
  4. [4] Mayer Richard E.. 2009. Multimedia Learning (2nd ed.). Cambridge University Press.Google ScholarGoogle ScholarCross RefCross Ref
  5. [5] Mayer Richard E. (Ed.). 2014. The Cambridge Handbook of Multimedia Learning (2nd ed.). Cambridge University Press, Cambridge. Google ScholarGoogle ScholarCross RefCross Ref
  6. [6] Mayer Richard E. and Johnson Cheryl I.. 2008. Revising the redundancy principle in multimedia learning. J. Educ. Psychol. 100, 2 (May2008), 380386. Google ScholarGoogle ScholarCross RefCross Ref
  7. [7] Makransky Guido, Terkildsen Thomas S., and Mayer Richard E.. 2019. Role of subjective and objective measures of cognitive processing during learning in explaining the spatial contiguity effect. Learn Instr. 61 (June2019), 2334. Google ScholarGoogle ScholarCross RefCross Ref
  8. [8] Mason Lucia, Pluchino Patrik, and Tornatora Maria Caterina. 2013. Effects of picture labeling on science text processing and learning: Evidence from eye movements. Read. Res. Q. 48, 2 (April2013), 199214. Google ScholarGoogle ScholarCross RefCross Ref
  9. [9] Wang Xue, Lin Lin, Han Meiqi, and Spector J. Michael. 2020. Impacts of cues on learning: Using eye-tracking technologies to examine the functions and designs of added cues in short instructional videos. Comput. Hum. Behav. 107 (June2020), 106279. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. [10] Alpizar David, Adesope Olusola O., and Wong Rachel M.. 2020. A meta-analysis of signaling principle in multimedia learning environments. ETR&D-Educ. Tech. Res. Dev. 68 (Oct.2020), 20952119. Google ScholarGoogle ScholarCross RefCross Ref
  11. [11] Schneider Sascha, Beege Maik, Nebel Steve, and Rey Günter Daniel. 2018. A meta-analysis of how signaling affects learning with media. Educ. Res. Rev. 23 (Feb.2018), 124. Google ScholarGoogle ScholarCross RefCross Ref
  12. [12] Krauss Luisa, Ott Celine, Opwis Klaus, Meyer Andrea, and Gaab Jens. 2021. Impact of contextualizing information on aesthetic experience and psychophysiological responses to art in a museum: A naturalistic randomized controlled trial. Psychology of Aesthetics, Creativity, and the Arts 15, 3 (2021), 505516. Google ScholarGoogle ScholarCross RefCross Ref
  13. [13] Falk John H., Koran John J., and Dierking Lynn D.. 1986. The things of science: Assessing the learning potential of science museums. Sci. Educ. 70, 5 (Oct.1986), 503508. Google ScholarGoogle ScholarCross RefCross Ref
  14. [14] Liu Qingtang, Liu Mengfan, Yu Shufan, Ma Jingjing, Liu Jindian, and Jiang Yuwei. 2021. Design and implementation of virtual museum learning environment from the perspective of multimedia learning theory. In 2021 International Symposium on Educational Technology (ISET). 266269. Google ScholarGoogle ScholarCross RefCross Ref
  15. [15] Guo Dongqiao, Wei Xiaodong, and Li Zhe. 2019. The effect of virtual museum on students’ cognitive and non-cognitive abilities: From the perspective of multimedia learning theory. In 2019 International Joint Conference on Information, Media and Engineering (IJCIME). 378382. Google ScholarGoogle ScholarCross RefCross Ref
  16. [16] Sommerauer Peter and Müller Oliver. 2014. Augmented reality in informal learning environments: A field experiment in a mathematics exhibition. Comput. Educ. 79 (Oct.2014), 5968. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. [17] Schwan Stephan, Dutz Silke, and Dreger Felix. 2018. Multimedia in the wild: Testing the validity of multimedia learning principles in an art exhibition. Learn Instr. 55 (June2018), 148157. Google ScholarGoogle ScholarCross RefCross Ref
  18. [18] Keller Anna, Sommer Laura, Klöckner Christian A., and Hanss Daniel. 2020. Contextualizing information enhances the experience of environmental art. Psychology of Aesthetics, Creativity, and the Arts 14, 3 (2020), 264275. Google ScholarGoogle ScholarCross RefCross Ref
  19. [19] Li Qiang, Luo Tian, and Wang Jingjing. 2022. The role of digital interactive technology in cultural heritage learning: Evaluating a mid-air gesture-based interactive media of Ruihetu. Comput. Animat. Virtual Worlds 33, 3–4 (2022), e2085. Google ScholarGoogle ScholarCross RefCross Ref
  20. [20] Reymond Claire, Pelowski Matthew, Opwis Klaus, Takala Tapio, and Mekler Elisa D.. 2020. Aesthetic evaluation of digitally reproduced art images. Front. Psychol. 11 (Dec.2020), 615575. Google ScholarGoogle ScholarCross RefCross Ref
  21. [21] Villani Daniela, Morganti Francesca, Cipresso Pietro, Ruggi Simona, Riva Giuseppe, and Gilli Gabriella. 2015. Visual exploration patterns of human figures in action: An eye tracker study with art paintings. Front. Psychol. 6 (Oct.2015), 1636. Google ScholarGoogle ScholarCross RefCross Ref
  22. [22] Massaro Davide, Savazzi Federica, Dio Cinzia Di, Freedberg David, Gallese Vittorio, Gilli Gabriella, and Marchetti Antonella. 2012. When art moves the eyes: A behavioral and eye-tracking study. PLoS ONE 7, 5 (May2012), e37285. Google ScholarGoogle ScholarCross RefCross Ref
  23. [23] Lin Fen and Yao Mike. 2018. The impact of accompanying text on visual processing and hedonic evaluation of art. Empir. Stud. Arts 36, 2 (July2018), 180198. Google ScholarGoogle ScholarCross RefCross Ref
  24. [24] Eitel Alexander and Scheiter Katharina. 2015. Picture or text first? Explaining sequence effects when learning with pictures and text. Educ. Psychol. Rev. 27 (March2015), 153180. Google ScholarGoogle ScholarCross RefCross Ref
  25. [25] Zheng Xia and Yang Xuewen. 2020. Measuring visitor learning outcomes from showcases, video installations, and interactive tablets: An empirical investigation. Mus. Manag. Curatorship 35, 3 (2020), 281305. Google ScholarGoogle ScholarCross RefCross Ref
  26. [26] Dondi Piercarlo, Lombardi Luca, Porta Marco, Rovetta Tommaso, Invernizzi Claudia, and Malagodi Marco. 2019. What do luthiers look at? An eye tracking study on the identification of meaningful areas in historical violins. Multimed. Tools Appl. 78 (July2019), 1911519139. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. [27] Ragusa Francesco, Furnari Antonino, Battiato Sebastiano, Signorello Giovanni, and Farinella Giovanni Maria. 2019. Egocentric visitors localization in cultural sites. ACM J. Comput. Cult. Herit. 12, 2 (Apr2019), 119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. [28] Walker Francesco, Bucker Berno, Anderson Nicola C., Schreij Daniel, and Theeuwes Jan. 2017. Looking at paintings in the Vincent Van Gogh Museum: Eye movement patterns of children and adults. PloS One 12, 6 (June2017), e0178912. Google ScholarGoogle ScholarCross RefCross Ref
  29. [29] Perry Deborah L.. 1993. Measuring learning with the knowledge hierarchy. Visit. Stud. 6, 1 (1993), 7377.Google ScholarGoogle ScholarCross RefCross Ref
  30. [30] Lin Aleck C. H., Fernandez Walter D., and Gregor Shirley. 2012. Understanding web enjoyment experiences and informal learning: A study in a museum context. Decis. Support Syst. 53 (Nov.2012), 846858. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. [31] Ying Chang and Shan Chen. 2014. An effective mode of information dissemination and learning—Communication strategy of digital museum. In 2014 9th International Conference on Computer Science & Education. IEEE, 807811. Google ScholarGoogle ScholarCross RefCross Ref
  32. [32] Chong Cordelia and Smith Diantha. 2017. Interactive learning units on museum websites. J. Museum Education 42, 2 (2017), 169178. Google ScholarGoogle ScholarCross RefCross Ref
  33. [33] Li Qiang. 2022. Effects of different types of digital exhibits on children’s experiences in science museums. The Design Journal 25, 1 (2022), 126135. Google ScholarGoogle ScholarCross RefCross Ref
  34. [34] Novak Magdalena and Schwan Stephan. 2021. Does touching real objects affect learning? Educ. Psychol. Rev. 33 (June2021), 637665. Google ScholarGoogle ScholarCross RefCross Ref
  35. [35] Li Zao, Sun Xia, Zhao Shichen, and Zuo Hongwei. 2021. Integrating eye-movement analysis and the semantic differential method to analyze the visual effect of a traditional commercial block in Hefei, China. Front. Archit. Res. 10, 2 (June2021), 317331. Google ScholarGoogle ScholarCross RefCross Ref
  36. [36] Mayer Richard E.. 1996. Learning strategies for making sense out of expository text: The SOI model for guiding three cognitive processes in knowledge construction. Educ. Psychol. Rev. 8, 4 (Dec.1996), 357371. Google ScholarGoogle ScholarCross RefCross Ref
  37. [37] Mayer Richard E.. 1997. Multimedia learning: Are we asking the right questions? Educ. Psychol. 32, 1 (1997), 119. Google ScholarGoogle ScholarCross RefCross Ref
  38. [38] Jia Yiming. 2009. The science research on multimedia learning —— discussion on academic ideas of Richard E. Mayer. Modern Educational Technology 19, 11 (2009), 59.Google ScholarGoogle Scholar
  39. [39] Schnotz Wolfgang and Kürschner Christian. 2008. External and internal representations in the acquisition and use of knowledge: Visualization effects on mental model construction. Instr. Sci. 36 (May2008), 175190. Google ScholarGoogle ScholarCross RefCross Ref
  40. [40] Mayer Richard E. and Moreno Roxana. 2003. Nine ways to reduce cognitive load in multimedia learning. Educ. Psychol. 38, 1 (2003), 4352. Google ScholarGoogle ScholarCross RefCross Ref
  41. [41] Hatsidimitris George and Kalyuga Slava. 2013. Guided self-management of transient information in animations through pacing and sequencing strategies. ETR&D-Educ. Tech. Res. Dev. 61 (Feb.2013), 91105. Google ScholarGoogle ScholarCross RefCross Ref
  42. [42] Hassanabadi Hamidreza, Robatjazi Effat Sadat, and Savoji Azar Pakdaman. 2011. Cognitive consequences of segmentation and modality methods in learning from instructional animations. Procedia - Social and Behavioral Sciences 30 (2011), 14811487. Google ScholarGoogle ScholarCross RefCross Ref
  43. [43] Richter Juliane, Scheiter Katharina, and Eitel Alexander. 2016. Signaling text-picture relations in multimedia learning: A comprehensive meta-analysis. Educ. Res. Rev. 17 (Feb.2016), 1936. Google ScholarGoogle ScholarCross RefCross Ref
  44. [44] Boucheix Jean-Michel, Lowe Richard K., Ainsworth Shaaron, Betrancourt Mireille, and Vries Erica De. 2012. Paired graphics: An exploratory study of graphicacy. In Staging Knowledge and Experience: How to Take Advantage of Representational Technologies in Education and Training?, Vries E. de and Scheiter K. (Eds.). Universite Pierre-Mendes-France, Grenoble, France, 4345. http://hdl.handle.net/20.500.11937/43369Google ScholarGoogle Scholar
  45. [45] Ploetzner Rolf and Lowe Richard. 2014. Simultaneously presented animations facilitate the learning of higher-order relationships. Comput. Hum. Behav. 34 (May2014), 1222. Google ScholarGoogle ScholarCross RefCross Ref
  46. [46] Koroscik Judith S., Short Georgianna, Stavropoulos Carol, and Fortin Sylvie. 1992. Frameworks for understanding art: The function of comparative art contexts and verbal cues. Stud. Art Educ. 33, 3 (1992), 154164. Google ScholarGoogle ScholarCross RefCross Ref
  47. [47] Mautone Patricia D. and Mayer Richard E.. 2001. Signaling as a cognitive guide in multimedia learning. J. Educ. Psychol. 93, 2 (2001), 377389. Google ScholarGoogle ScholarCross RefCross Ref
  48. [48] Kost Claudia R., Foss Pamelo, and Lenzini John J.. 1999. Textual and pictorial glosses: Effectiveness on incidental vocabulary growth when reading in a foreign language. Foreign Lang. Ann. 32, 1 (March1999), 8997. Google ScholarGoogle ScholarCross RefCross Ref
  49. [49] Yoshii Makoto. 2006. L1 and L2 glosses: Their effects on incidental vocabulary learning. Lang. Learn. Technol. 10, 3 (Sept.2006), 85101.Google ScholarGoogle Scholar
  50. [50] Helal Dina, Maxson Heather, and Ancelet Jeanine. 2013. Lessons learned: Evaluating the Whitney’s multimedia guide. In The Annual Conference of Museums and the Web 2013. https://mw2013.museumsandtheweb.com/paper/lessons-learned-evaluating-the-whitneys-multimedia-guide/index.htmlGoogle ScholarGoogle Scholar
  51. [51] Rayner Keith. 1998. Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124, 3 (Nov.1998), 372422. Google ScholarGoogle ScholarCross RefCross Ref
  52. [52] Tang Pengfei, Yao Zhong, Luan Jing, and Xiao Jie. 2022. How information presentation formats influence usage behaviour of course management systems: Flow diagram navigation versus menu navigation. Behav. Inf. Technol. 41, 2 (2022), 383400. Google ScholarGoogle ScholarCross RefCross Ref
  53. [53] Loo Ellen J. Van, Caputo Vincenzina, Nayga Rodolfo M., Seo Han-Seok, Zhang Baoyue, and Verbeke Wim. 2015. Sustainability labels on coffee: Consumer preferences, willingness-to-pay and visual attention to attributes. Ecol. Econ. 118 (Oct.2015), 215225. Google ScholarGoogle ScholarCross RefCross Ref
  54. [54] Alemdag Ecenaz and Cagiltay Kursat. 2018. A systematic review of eye tracking research on multimedia learning. Comput. Educ. 125 (Oct.2018), 413428. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. [55] Lin Qi, Yousif Sami R., Chun Marvin M., and Scholl Brian J.. 2021. Visual memorability in the absence of semantic content. Cognition 212 (July2021), 104714. Google ScholarGoogle ScholarCross RefCross Ref
  56. [56] Ponce Hector R. and Mayer Richard E.. 2014. An eye movement analysis of highlighting and graphic organizer study aids for learning from expository text. Comput. Hum. Behav. 41 (Dec.2014), 2132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. [57] Faul Franz, Erdfelder Edgar, Lang Albert-Georg, and Buchner Axel. 2007. G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 2 (May2007), 175191. Google ScholarGoogle ScholarCross RefCross Ref
  58. [58] Mayer Richard E., Howarth Jeffrey T., Kaplan Michelle, and Hanna Sara. 2018. Applying the segmenting principle to online geography slideshow lessons. ETR&D-Educ. Tech. Res. Dev. 66 (June2018), 563577. Google ScholarGoogle ScholarCross RefCross Ref
  59. [59] Brieber David, Forster Michael, and Leder Helmut. 2020. On the mutual relation between art experience and viewing time. Psychology of Aesthetics, Creativity, and the Arts 14, 2 (2020), 197208. Google ScholarGoogle ScholarCross RefCross Ref
  60. [60] Rodicio Héctor García, Sánchez Emilio, and Acuña Santiago R.. 2013. Support for self-regulation in learning complex topics from multimedia explanations: Do learners need extensive or minimal support? Instr. Sci. 41, 3 (2013), 539553. Google ScholarGoogle ScholarCross RefCross Ref
  61. [61] Dochy Filip, Segers Mien, and Buehl Michelle M.. 1999. The relation between assessment practices and outcomes of studies: The case of research on prior knowledge. Rev. Educ. Res. 69, 2 (1999), 145186. Google ScholarGoogle ScholarCross RefCross Ref
  62. [62] Shapiro Amy M.. 2004. How including prior knowledge as a subject variable may change outcomes of learning research. Am. Educ. Res. J. 41, 1 (2004), 159189. Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. How to Arrange Texts and Pictures for Online Visitors — Comparing Basic Ceramic Display Forms with Eye Tracking

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in

    Full Access

    • Published in

      cover image Journal on Computing and Cultural Heritage
      Journal on Computing and Cultural Heritage   Volume 17, Issue 2
      June 2024
      355 pages
      ISSN:1556-4673
      EISSN:1556-4711
      DOI:10.1145/3613557
      Issue’s Table of Contents

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 March 2024
      • Online AM: 12 January 2024
      • Accepted: 3 December 2023
      • Revised: 18 September 2023
      • Received: 29 September 2022
      Published in jocch Volume 17, Issue 2

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
    • Article Metrics

      • Downloads (Last 12 months)115
      • Downloads (Last 6 weeks)21

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Full Text

    View this article in Full Text.

    View Full Text