Skip to main content
SpringerLink
Log in

How to Help Older Adults Learn Smartphone Applications? A Case Study of Instructional Design for Video Training

  • Conference paper
  • First Online:
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 826))

Included in the following conference series:

Abstract

Video training is a useful way for older adults to learn to use smartphone applications, but the instructional design of adapting age-related changes is necessary to improve learning effectiveness. This study investigates the influence of visual cues and tapping methods on older adults’ intention to use, ease of learning, satisfaction, and task completion time when learning how to use smartphone applications through instructional videos. Twenty-four older adults learned smartphone applications using two tapping methods (the tapping with/without validation method) on three types of instructional videos with different visual cues (red rectangle, cartoon finger, and real finger). The results indicated that use of a cartoon finger contributed to higher intention to use, higher ease of learning, higher satisfaction, and shorter task completion time compared with use of a red rectangle or a real finger. Moreover, older adults preferred the tapping with validation method rather than that without validation method. These findings will be a useful reference for designers of instructional videos and developers of smartphones.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Plaisant C, Shneiderman B (2005) Show me! guidelines for producing recorded demonstrations. In: 2005 IEEE symposium on visual languages and human-centric computing, pp 171–178. IEEE

    Google Scholar 

  2. Boot WR, Nichols TA, Rogers WA, Fisk AD (2012) Design for aging. In: Handbook of human factors and ergonomics, Fourth Edn, pp 1442–1471

    Google Scholar 

  3. Hwangbo H, Yoon SH, Jin BS, Han YS, Ji YG (2013) A study of pointing performance of elderly users on smartphones. Int J Hum Comput Interact 29:604–618

    Article  Google Scholar 

  4. Kobayashi M, Hiyama A, Miura T, Asakawa C, Hirose M, Ifukube T (2011) Elderly user evaluation of mobile touchscreen interactions. In: IFIP conference on human-computer interaction, pp 83–99. Springer, Heidelberg

    Google Scholar 

  5. Chêne D, Pillot V, Chaumon MÉB (2016) Tactile interaction for novice user. In: International conference on human aspects of IT for the aged population, pp 412–423

    Google Scholar 

  6. Commodari E, Guarnera M (2008) Attention and aging. Aging Clin Exp Res 20:578–584

    Article  Google Scholar 

  7. Mayer RE, Moreno R (2003) Nine ways to reduce cognitive load in multimedia learning. Educ Psychol 38:43–52

    Article  Google Scholar 

  8. Norman DA, Nielsen J (2010) Gestural interfaces: a step backward in usability. Interactions 17: 46–49

    Google Scholar 

  9. Lin L, Atkinson RK, Savenye WC, Nelson BC (2016) Effects of visual cues and self-explanation prompts: empirical evidence in a multimedia environment. Interact Learn Environ 24:799–813

    Article  Google Scholar 

  10. de Koning BB, Tabbers HK, Rikers RM, Paas F (2009) Towards a framework for attention cueing in instructional animations: guidelines for research and design. Educ Psychol Rev 21:113–140

    Article  Google Scholar 

  11. de Koning BB, Tabbers HK, Rikers RM, Paas F (2010) Attention guidance in learning from a complex animation: seeing is understanding? Learn Instr 20:111–122

    Article  Google Scholar 

  12. Ozcelik E, Arslan-Ari I, Cagiltay K (2010) Why does signaling enhance multimedia learning? evidence from eye movements. Comput Hum Behav 26:110–117

    Article  Google Scholar 

  13. Ozcelik E, Karakus T, Kursun E, Cagiltay K (2009) An eye-tracking study of how color coding affects multimedia learning. Comput Educ 53:445–453

    Article  Google Scholar 

  14. Amadieu F, Mariné C, Laimay C (2011) The attention-guiding effect and cognitive load in the comprehension of animations. Comput Hum Behav 27:36–40

    Article  Google Scholar 

  15. Boucheix J-M, Guignard H (2005) What animated illustrations conditions can improve technical document comprehension in young students? format, signaling and control of the presentation. Eur J Psychol Educ 20:369–388

    Article  Google Scholar 

  16. de Koning BB, Tabbers HK, Rikers RM, Paas F (2007) Attention cueing as a means to enhance learning from an animation. Appl Cogn Psychol 21:731–746

    Article  Google Scholar 

  17. de Koning BB, Tabbers HK, Rikers RM, Paas F (2010) Learning by generating vs. receiving instructional explanations: two approaches to enhance attention cueing in animations. Comput Educ 55:681–691

    Article  Google Scholar 

  18. Jamet E, Gavota M, Quaireau C (2008) Attention guiding in multimedia learning. Learn Instr 18:135–145

    Article  Google Scholar 

  19. Lin L, Atkinson RK (2011) Using animations and visual cueing to support learning of scientific concepts and processes. Comput Educ 56:650–658

    Article  Google Scholar 

  20. Wouters P, Paas F, van Merriënboer JJ (2009) Observational learning from animated models: effects of modality and reflection on transfer. Contemp Educ Psychol 34:1–8

    Article  Google Scholar 

  21. Kühl T, Scheiter K, Gerjets P (2012) Enhancing learning from dynamic and static visualizations by means of cueing

    Google Scholar 

  22. Yung HI, Paas F (2015) Effects of cueing by a pedagogical agent in an instructional animation: a cognitive load approach. Educ Technol Soc 18:153–160

    Google Scholar 

  23. Mautone PD, Mayer RE (2001) Signaling as a cognitive guide in multimedia learning. J Educ Psychol 93:377

    Article  Google Scholar 

  24. Lowe R, Boucheix J-M (2011) Cueing complex animations: does direction of attention foster learning processes? Learn Instr 21:650–663

    Article  Google Scholar 

  25. Fisk AD, Czaja SJ, Rogers WA, Charness N, Sharit J (2009) Designing for older adults: principles and creative human factors approaches. CRC press, Boca Raton

    Google Scholar 

  26. Leonardi C, Albertini A, Pianesi F, Zancanaro M (2010) An exploratory study of a touch-based gestural interface for elderly. In: Proceedings of the 6th nordic conference on human-computer interaction: extending boundaries, pp 845–850. ACM

    Google Scholar 

  27. Stößel C, Wandke H, Blessing L (2009) An evaluation of finger-gesture interaction on mobile devices for elderly users. Prospektive Gestaltung von Mensch-Technik-Interaktion 8:470–475

    Google Scholar 

  28. Motti LG, Vigouroux N, Gorce P (2015) Improving accessibility of tactile interaction for older users: lowering accuracy requirements to support drag-and-drop interaction. Procedia Comput Sci 67:366–375

    Article  Google Scholar 

  29. Gorce P, Nadine V, Motti L (2017) Interaction techniques for older adults using touchscreen devices: a literature review from 2000 to 2013. J d’Interaction Personne-Système 3

    Google Scholar 

  30. Harada S, Sato D, Takagi H, Asakawa C (2013) Characteristics of elderly user behavior on mobile multi-touch devices. In: IFIP conference on human-computer interaction, pp 323–341. Springer, Heidelberg

    Google Scholar 

  31. Leonard VK, Jacko JA, Pizzimenti JJ (2005) An exploratory investigation of handheld computer interaction for older adults with visual impairments. In: Proceedings of the 7th international ACM SIGACCESS conference on computers and accessibility, pp 12–19. ACM

    Google Scholar 

  32. Lee J-H, Poliakoff E, Spence C (2009) The effect of multimodal feedback presented via a touch screen on the performance of older adults. In: International conference on haptic and audio interaction design, pp 128–135. Springer, Heidelberg

    Google Scholar 

  33. Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13:319–340

    Article  Google Scholar 

  34. Renaud K, Van Biljon J (2008) Predicting technology acceptance and adoption by the elderly: a qualitative study. In: Proceedings of the 2008 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries: riding the wave of technology, pp 210–219. ACM

    Google Scholar 

  35. Lewis JR (1995) IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int J Hum Comput Interact 7:57–78

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by funding from the National Natural Science Foundation of China (Grants nos. 71661167006) and Chongqing Municipal Natural Science Foundation (cstc2016jcyjA0406).

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Chongqing University, Chongqing, 400044, People’s Republic of China

    Fengli Liu & Jia Zhou

Authors
  1. Fengli Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jia Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jia Zhou .

Editor information

Editors and Affiliations

  1. University of the Republic of San Marino, San Marino, San Marino

    Sebastiano Bagnara

  2. Centre for Clinical Risk Management and Patient Safety, Tuscany Region, Florence, Italy

    Riccardo Tartaglia

  3. Centre for Clinical Risk Management and Patient Safety, Tuscany Region, Florence, Italy

    Sara Albolino

  4. Fraunhofer FKIE, Bonn, Nordrhein-Westfalen, Germany

    Thomas Alexander

  5. International Ergonomics Association, Tokyo, Japan

    Yushi Fujita

Appendix

Appendix

Intension to use (Davis, 1986):

  1. 1.

    I intend to use this learning way in the future.

    Ease of learning (Renaud & Van Biljon, 2008):

    In this way of learning,

  2. 2.

    It is easy to learn smart phone applications.

  3. 3.

    I want to learn how to use smart phone applications.

    Satisfaction (Lewis, 1995):

  4. 4.

    Overall, I am satisfied with the ease of learning smartphone applications through this way of learning.

  5. 5.

    Overall, I am satisfied with the amount of time it took to learn smart phone applications through this way of learning.

  6. 6.

    Overall, I am satisfied with the support information available when learning smart phone applications.

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, F., Zhou, J. (2019). How to Help Older Adults Learn Smartphone Applications? A Case Study of Instructional Design for Video Training. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 826. Springer, Cham. https://doi.org/10.1007/978-3-319-96065-4_16

Download citation

Publish with us

Policies and ethics

Search

Navigation