Abstract
This study examined the effects of software graphical user interface (GUI) visual cues in educational software on user performance. It specifically studied the effectiveness of three distinct and commonly used visual cues -- bolded text, buttons, and arrows to guide a software application user through a series of tasks. The study attempted to prove the hypothesis that specific visual cues in educational software applications could decrease task time.
The study population consisted of a group of 134 post-secondary undergraduate students in Honolulu, Hawaiʻi, that engaged in a web-based educational software simulation which recorded response times when prompted by each of the three distinct visual cues.
The web-based simulation consisted of six steps. Each step consisted of a simple question and the appearance of a new visual cue to lead the participant to the next step only after selecting the correct answer. Each step of the experiment was automatically timed and recorded in milliseconds from the moment the participant selected the correct answer until the moment they clicked on the visual cue to proceed to the next step.
Slower response times indicated that during the first two steps, participants were still scanning the screen for the visual cue after they selected the correct answer. Of the three cues studied on the first two steps of the simulation, the Arrows and Bolded text were clearly the most quickly recognized cues among participants, while the response times for the Button cue were significantly slower.
However, in the last four steps of the simulation, no visual cue could be identified as the leader in participant response times. This would indicate that, since the visual cues were consistently in the same position, the participants acclimated to the position of the cue. At this point, there was no notable differences in response times among the different cues.
This study suggests that using arrows and/or bolded text in educational software are better choices for visual cues than buttons. It also suggests that keeping visual cues for common functions in a consistent location is optimal.
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References
Agee, R.: Are we really training computer teachers? Technol. Horizans Educ. J. 12, 96–99 (1985)
Awidi, I.T.: Critical factors in selecting a course management system for higher education in Ghana. Educase Q. 31(1), 24–32 (2008)
Beale, R., Sharples, M.: Proceedings of the 8th European Conference on Information Technology Evaluation, pp. 2–29. Vienna: ECIS (2001)
Bell, R.L., Trundle, K.C.: The use of a computer simulation to promote scientific conceptions of moon phases. J. Res. Sci. Teach. 45(3), 346–372 (2008)
Boldyreff, C.: UNIX on a micro. ACM SIGSMALL Newsl. 7(1), 7–8 (1981)
Brant, G., Hooper, E., Sugrue, B.: Which comes first the simulation or the lecture? J. Educ. Comput. Res. 7(4), 469–481 (1991)
Brickell, G.: Navigation and learning style. Aust. J. Educ. Technol. 9(2), 103–114 (1993)
Bullynck, M., De Mol, L.: Setting-up early computer programs: D. H. Lehmer’s ENIAC computation. Arch. Math. Logic 42(2), 123–146 (2010)
Chung, P.H.: Visual Cues to Reduce Error in Computer-based Routine Procedural Tasks. Rice University, Houston (2004)
Fishkin, K.P.: Embodied user interfaces for really direct manipulation. Commun. ACM 43(9), 74–80 (2000)
Flemming, J.: Web Navigation: Designing the User Experience. O’Reilly and Associates, Sebastapol (1998)
Fleming, E., Pritchett, A.: SRK as a framework for the development of training for effective interaction with multi-level automation. Cogn. Technol. Work 18(3), 511–528 (2016). https://doi.org/10.1007/s10111-016-0376-0
Frank, M.C.: Instructional Software (2008). Accessed 4 Jan 2012, from Boise State University: http://edtech2.boisestate.edu/frankm/EDTECH575/home_is.html
Hodges, M.S.: Computers: Systems, Terms and Acronyms, 17th edn. SemCo Enterprises Inc., Winter Springs (2007)
HyperOffice. Selecting Software (2008). Accessed 10 Jan 2011, www.hyperoffice.com/files/pdf/selectingsoftware.pdf
Joch, A.: Interfacing the facts. Inc. 19(9), 39 (1997)
Jonassen, D.H., Grabinger, R.S.: Designing Hypermedia for Learning. Springer, London (1990). https://doi.org/10.1007/978-3-642-75945-1_1
Kim, S., Brock, D.M., Orkland, A., Astion, M.L.: Design implications from a usability study of GramStain-Tutor. Br. J. Edu. Technol. 32(5), 595–605 (2001)
Kippenberg, H.G., Van Den, B., Leertouwer, L.: The Image of Writing. Brill Academic Publishers, Boston (1988)
Koneman, P.A., Jonassen, D.H.: Hypertext interface design and structural knowledge acquisition. In: Proceedings of the National Convention of the Association for Educational Communication and Technology, pp. 349–355 (1994)
Lawless, K.A., Brown, S.W.: Multimedia learning environments: issues of learner control and navigation. Instr. Sci. 25(2), 117–131 (1997)
Litchfield, B.C.: Design factors in multimedia environments: research findings and implications for instructional design. In: Annual Meeting of the American Educational Research Association, Atlanta, pp. 2–16 (1993)
Marshal, C., Nelson, C., Gardiner, M.M.: Applying Cognitive Psychology to User-interface Design. Wiley, Chichester (1987)
Molnar, A.S.: Computers in education: a brief history. Technol. Horizons Educ. 24, 63–68 (1997)
Moore, A.: Iconography of Religions: An Introduction. Fortress Press, Minneapolis (1977)
Moore, B.: Waiting at the terminal. J. Acad. Librarianship 4(6), 443 (1979)
Nico, R., van Joolingen, W.R., van der Veen, J.T.: The learning effects of computer simulations in science education. Comput. Educ. 58(1), 136–153 (2012)
Pandhi, D.: How to create the best user experience for your application (2006). Accessed Dec 2011, from MSDN (Microsoft Developer Network): http://msdn.microsoft.com/en-us/library/aa468595.aspx#humanux_topic9
Park, I., Hannafin, M.J.: Empirically-based guidelines for the design of interactive multimedia. Educ. Tech. Res. Dev. 41(3), 63–85 (1993)
Percisco, D.: Methodological constants in courseware design. Br. J. Edu. Technol. 28(2), 111–123 (1997)
Powell, J., Wright, T., Newland, P., Creed, C., Logan, B.: Fire play: ICCARUS—intelligent command and control, acquisition and review using simulation. Br. J. Edu. Technol. 39(2), 369–389 (2008)
Rasmussen, J.: Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. 13(3), 257–266 (1983)
Ritchie, D.M.: The evolution of the unix time-sharing system. In: Tobias, J.M. (ed.) Language Design and Programming Methodology. LNCS, vol. 79, pp. 25–35. Springer, Heidelberg (1980). https://doi.org/10.1007/3-540-09745-7_2
Ruiz, J.G., Mintzer, M.J., Leipzig, R.M.: The impact of e-learning in medical education. Acad. Med. 81(3), 207–212 (2006)
Schacter, J.: The impact of education technology on student achievement what the most current research has to say. The Milken Exchange on Education Technology, Santa Monica (1999)
Seffah, A., Gulliksen, J., Desmarais, M.C. (eds.): Human-Centered Software Engineering — Integrating Usability in the Software Development Lifecycle. Springer, Dordrecht (2005). https://doi.org/10.1007/1-4020-4113-6
Serenko, A.: The development of an instrument to measure animation predisposition of users of animated agents in ms office applications. McMaster University. DeGroote School of Business, Quebec (2004)
Sutch, L.A.: “You know more than you think you do”: helping participants transfer knowledge. In: Proceedings of the 35th Annual ACM SIGUCCS Fall Conference. SIGUCCS, New York (2007)
Thomas, E., Piemme, M.: Computer-assisted learning and evaluation in medicine. J. Am. Med. Assoc. 260, 367–372 (1988)
Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)
Wild, M., Quinn, C.: Implications of educational theory for the design of instructional multimedia. Br. J. Educ. Technol. 29(1), 73–82 (1998)
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This material is based upon work supported by the National Science Foundation under Grant No. 1662487. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.
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Stevens, D. (2022). Optimizing Visual Cues in Educational Software. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2022. Lecture Notes in Computer Science(), vol 13310. Springer, Cham. https://doi.org/10.1007/978-3-031-05457-0_23
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