Skip to main content

Apps and Digital Resources in Speech and Language Therapy - Which Factors Influence Therapists’ Acceptance?

  • Conference paper
  • First Online:
Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13308))

Included in the following conference series:

Abstract

The aging of society, an increasing shortage of skilled professionals, and the digitization of the healthcare sector will continue to intensify in the future. To meet these challenges, new developments in the field of health technologies, such as digital therapy or teletherapy, are gaining importance.

The aim of the present study was to investigate speech and language pathologists’ (SLPs) acceptance of apps and digital resources for interventions. Guided expert interviews with practicing SLPs (N = 5) were conducted focusing self-assessment of technical competence, technology use and reasons for non-use, experience of using apps, conditions of use, assessment of effort, barriers, and potentials.

Results show that although all interviewees rated both the potential of apps and digital resources for the quality of their work and their own technical competencies as high, only two out of five regularly used digital resources in their daily work. Feedback from the clients on the use of apps in therapy is predominantly positive. In contrast, the effort required to obtain the apps, to learn how to use them, and for the initial preparation are high. The equipment of the therapy rooms with devices and WLAN access and the support provided by co-workers and supervisors are also rated as inadequate. Regarding their attitudes toward technology, the therapists’ self-image and rather conservative mindsets toward digital technologies are described as hindering.

The study revealed that the structural environment and various personality traits of the therapists have great relevance for the use digital resources in speech and language therapy.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
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

Notes

  1. 1.

    In Germany, there are several possible ways to become a SLP. One way is through vocational training to become a state-approved speech therapist, another is through academic studies in speech therapy, clinical linguistics, patholinguistics, or speech therapy education.

References

  1. Alber, B., Starke, A.: Digitale Kompetenzen von Sprachtherapeut*innen – Therapieren (DioST-T). Forschung Sprache 2, 3–11 (2021)

    Google Scholar 

  2. Bilda, K.: Grundlagen. Potenziale und Barrieren. In: Bilda, K., Mühlhaus, J., Ritterfeld, U. (eds.) Neue Technologien in der Sprachtherapie, pp. 20–34. Thieme, Stuttgart (2017)

    Google Scholar 

  3. Beushausen, U.: Teletherapie in der Logopädie im deutschsprachigen Raum: Ein Überblick über aktuelle Studienergebnisse. Forum Logopädie 25(3), 6–10 (2021)

    Google Scholar 

  4. Leinweber, J., Schulz, K.: Digitalisierung in der Aphasietherapie – eine ethische Betrachtung. Aphasie und verwandte Gebiete 46, 34–41 (2019)

    Google Scholar 

  5. Starke, A., Mühlhaus, J., Ritterfeld, U.: Neue Medien in Therapie und Unterricht für Kinder mit dem Förderschwerpunkt Sprache. Praxis Sprache 61(1), 28–32 (2016)

    Google Scholar 

  6. Liu, L., Miguel Cruz, A., Rios Rincon, A., Buttar, V., Ranson, Q., Goertzen, D.X.: What factors determine therapists’ acceptance of new technologies for rehabilitation – a study using the Unified Theory of Acceptance and Use of Technology (UTAUT). Disabil. Rehabil. 37(5), 447–455 (2015)

    Article  Google Scholar 

  7. Schäfer, M., Keppler, D.: Modelle der technikorientierten Akzeptanzforschung. http://www.depositonce.tu-berlin.de/handle/11303/4758. Accessed 7 Jan 2022

  8. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  9. Hill, R.J., Fishbein, M., Ajzen, I.: Belief, attitude, intention and behavior: an introduction to theory and research. Contemp. Sociol. 6(2), 244 (1977)

    Article  Google Scholar 

  10. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage. Sci. 46, 186–204 (2000)

    Article  Google Scholar 

  11. Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)

    Article  Google Scholar 

  12. Venkatesh, V., Morris, M.G., Davis, F.D., Davis, G.B.: User acceptance of information technology. Toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  13. Venkatesh, V., Thong, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157 (2012)

    Article  Google Scholar 

  14. Shachak, A., Kuziemsky, C., Petersen, C.: Beyond TAM and UTAUT: Future directions for HIT implementation research. J. Biomed. Inform. 100, 103315 (2019)

    Article  Google Scholar 

  15. Lauer, N.: Teletherapie – hat die Logopädie eine digitale Zukunft? Ergebnisse eines qualitativen Forschungsprojekts des Studiengangs Logopädie der OTH Regensburg. Forum Logopädie 34(5), 12–17 (2020). https://www.hs-bremen.de/internet/studium/stg/atw/ljclauer_2020_teletherapie.pdf. Accessed 17 May 2021

  16. Bilda, K., Dörr, F., Urban, K., Tschuschke, B.: Digitale logopädische Therapie. Ergebnisse einer Befragung zum aktuellen Ist-Stand aus Sicht von LogopädInnen. Logos 28(3), 176–183 (2020)

    Google Scholar 

  17. Jakob, H., Späth, M.: Sprachtherapeutische Apps am Beispiel neolexon: Herausforderungen beim Zugang in die Versorgung und Chancen für Therapeuten und Patienten. Sprache Stimme Gehör 45(01), 17–21 (2021)

    Article  Google Scholar 

  18. Malchus, K.: Evaluation emotionaler und kommunikativer Verhaltensweisen in Mensch-Roboter Interaktionen in therapierelevanten Szenarien. https://pub.uni-bielefeld.de/download/2784346/2784347/diss_malchus.pdf. Accessed 10 June 2021

  19. Albudoor, N., Peña, E.D.: Factors influencing US speech and language therapists’ use of technology for clinical practice. Int. J. Lang. Commun. Disord. 56(3), 567–582 (2021)

    Article  Google Scholar 

  20. Kruse, J., Schmieder, C., Weber, K.M., Dresing, T., Pehl, T.: Qualitative Interviewforschung. Ein integrativer Ansatz, 2nd edn. Beltz, Weinheim (2015)

    Google Scholar 

  21. Helfferich, C.: Die Qualität qualitativer Daten. Verlag für Sozialwissenschaften, Wiesbaden (2009). https://doi.org/10.1007/978-3-531-91858-7

    Book  Google Scholar 

  22. Bogner, A., Littig, B., Menz, W.: Interviews mit Experten. Eine praxisorientierte Einführung. Springer, Wiesbaden (2014). https://doi.org/10.1007/978-3-531-19416-5

  23. Kuckartz, U.: Einführung in die computergestützte Analyse qualitativer Daten. Springer, Wiesbaden (2010). https://doi.org/10.1007/978-3-531-92126-6

    Book  Google Scholar 

  24. MAXQDA. https://www.maxqda.com. Accessed 20 July 2021

  25. Dirks, S., Bühler, C.: Assistive technologies for people with cognitive impairments – which factors influence technology acceptance? In: Antona, M., Stephanidis, C. (eds.) UAHCI 2018. LNCS, vol. 10907, pp. 503–516. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92049-8_36

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Susanne Dirks .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Szabó, B., Dirks, S., Scherger, AL. (2022). Apps and Digital Resources in Speech and Language Therapy - Which Factors Influence Therapists’ Acceptance?. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies. HCII 2022. Lecture Notes in Computer Science, vol 13308. Springer, Cham. https://doi.org/10.1007/978-3-031-05028-2_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-05028-2_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05027-5

  • Online ISBN: 978-3-031-05028-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics