The Taxonomy of Factors of Acceptance and Use of Technologies for Human Computer Interface in Digital Services

Pablo Pintado; Irvin Jaramillo; Daniela Prado; Elsa Estevez

doi:10.24215/16666038.23.e14

Authors

Pablo Pintado Escuela de Ciencias de la Computación, Universidad del Azuay, Ecuador https://orcid.org/0000-0002-1356-0248
Irvin Jaramillo Escuela de Ciencias de la Computación, Universidad del Azuay, Ecuador https://orcid.org/0009-0007-4327-1504
Daniela Prado Facultad de Ingeniería, Universidad de Cuenca, Ecuador
Elsa Estevez Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur (UNS), Argentina

DOI:

https://doi.org/10.24215/16666038.23.e14

Keywords:

acceptance and use factors, digital transformation, human-computer interaction, taxonomy, digital services

Abstract

Emerging technologies, e.g., cloud computing, artificial intelligence, robotics, and information technologies, facilitate digital transformation and promote digital services. Significant research exists on the acceptance and use of technologies and specific digital transformation (DT) practices. However, more research is needed to better understand user’s acceptance and how they use technology to better de-sign digital services. Thus, this paper: 1) proposes a Systematic Literature Re-view (SLR) of the models of acceptance and use of technologies, as well as of certain DT practices applied to the human-computer interaction (HCI) of digital services; 2) provides an analysis of the results of the behavior of the factors and practices; and 3) proposes a taxonomy of the acceptance and use factors applied to HCI of digital services by economic activity. The main contribution of this work is the proposed taxonomy in a vacancy area relevant to digital transformation efforts applied to digital services pursued globally, both in the private and public sectors.

Downloads

Download data is not yet available.

References

P. Lai, “The literature review of technology adoption models and theories for the novelty technology,” Journal of Information Systems and Technology Management, vol. 14, no. 1, Apr. 2017, doi: 10.4301/S1807-17752017000100002.

J. Jetter, J. Eimecke, and A. Rese, “Augmented reality tools for industrial applications: What are potential key performance indicators and who benefits?,” Comput Human Behav, 2018, doi: 10.1016/j.chb.2018.04.054.

K. Tamilmani, N. P. Rana, S. F. Wamba, and R. Dwivedi, “The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation,” Int J Inf Manage, vol. 57, Apr. 2021, doi: 10.1016/j.ijinfomgt.2020.102269.

D. Slotnisky, Transformación digital - Como las personas y las empresas deben adaptarse a esta revolución. Buenos Aires, 2016. Accessed: Jun. 05, 2022. [Online]. Available: https://books.google.com.ec/books?id=9dBJDQAAQBAJ&printsec=frontcover&hl=es#v=onepage&q&f=false

M. Kalinowski et al., “Towards Lean R&D: An Agile Research and Development Approach for Digital Transformation,” in Proceedings - 46th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2020, Institute of Electrical and Electronics Engineers Inc., Aug. 2020, pp. 132–136. doi: 10.1109/SEAA51224.2020.00030.

T. Issa and P. Isaias, “Usability and Human Computer Interaction (HCI),” in Sustainable Design, Springer London, 2015, pp. 19–36. doi: 10.1007/978-1-4471-6753-2_2.

E. Estevez and T. Janowski, “Electronic Governance for Sustainable Development - Conceptual framework and state of research,” Gov Inf Q, vol. 30, no. SUPPL. 1, Jan. 2013, doi: 10.1016/j.giq.2012.11.001.

B. Kitchenham, “Guidelines for performing Systematic Literature Reviews in software engineering,” Durham, UK, 2007. [Online]. Available: https://www.researchgate.net/publication/258968007

R. Nickerson, J. Muntermann, U. Varshney, H. Isaac, and H. I. Taxonomy Devel-, “Taxonomy development in information systems: developing a taxonomy of mobile applications,” 2009. [Online]. Available: https://halshs.archives-ouvertes.fr/halshs-00375103

R. J. Holden and B. T. Karsh, “The Technology Acceptance Model: Its past and its future in health care,” Journal of Biomedical Informatics, vol. 43, no. 1. pp. 159–172, Feb. 2010. doi: 10.1016/j.jbi.2009.07.002.

K. Hornbæk and M. Hertzum, “Technology acceptance and user experience: A review of the experiential component in HCI,” ACM Transactions on Computer-Human Interaction, vol. 24, no. 5, Oct. 2017, doi: 10.1145/3127358.

D. Puentes and G. Garcia, “Trends in product design and development from the human factor: an approach to social responsibility,” 2013.

M. Falco and G. Robiolo, “Building a catalogue of ISO/IEC 25010 quality measures applied in an industrial context,” in Journal of Physics: Conference Series, IOP Publishing Ltd, Mar. 2021. doi: 10.1088/1742-6596/1828/1/012077.

S. Nadkarni and R. Prügl, “Digital transformation: a review, synthesis and opportunities for future research,” Management Review Quarterly, vol. 71, no. 2, pp. 233–341, Apr. 2021, doi: 10.1007/s11301-020-00185-7.

M. U. Tariq, “User Centered Human-Computer Interaction and Agile Development: A Systematic Model for Useable Product Case Study Sustainable Development Goals or SDGs View project,” 2020. [Online]. Available: https://www.researchgate.net/publication/342330170

H. Park and S. McKilligan, “A systematic literature review for human-computer interaction and design thinking process integration,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2018, pp. 725–740. doi: 10.1007/978-3-319-91797-9_50.

V. Hong, T. Kiet, and R. Wojciechowski, “Straight through processing for corporate foreign exchange trading Lessons learned from a Web Service based implementation.”

J. Ribeiro, R. Lima, T. Eckhardt, and S. Paiva, “Robotic Process Automation and Artificial Intelligence in Industry 4.0 - A Literature review,” in Procedia Computer Science, Elsevier B.V., 2021, pp. 51–58. doi: 10.1016/j.procs.2021.01.104.

S. Montagud, S. Abrahão, and E. Insfran, “A systematic review of quality attributes and measures for software product lines,” Software Quality Journal, vol. 20, no. 3–4, pp. 425–486, 2012, doi: 10.1007/s11219-011-9146-7.

A. Abushakra and D. Nikbin, Extending the UTAUT2 model to understand the entrepreneur acceptance and adopting internet of things (IoT), vol. 1027. Springer International Publishing, 2019. doi: 10.1007/978-3-030-21451-7_29.

J. Khalilzadeh, A. B. Ozturk, and A. Bilgihan, “Security-related factors in extended UTAUT model for NFC based Mobile Payment in the Restaurant Industry,” Comput Human Behav, 2017, doi: 10.1016/j.chb.2017.01.001.

Y. Lu, S. Papagiannidis, and E. Alamanos, “Exploring the emotional antecedents and outcomes of technology acceptance,” Comput Human Behav, vol. 90, pp. 153–169, 2019, doi: 10.1016/j.chb.2018.08.056.

C. Yoon, “Extending the TAM for Green IT: A normative perspective,” Comput Human Behav, vol. 83, pp. 129–139, 2018, doi: 10.1016/j.chb.2018.01.032.

A. Ronkainen, “Software Usability and Legal Informatics,” SSRN Electronic Journal, 2012, doi: 10.2139/ssrn.2162380.

ISO/IEC, “ISO/IEC 25010:2011 - Systems and software engineering -- Systems and software Quality Requirements and Evaluation (SQuaRE) -- System and software quality models,” 2011.

V. L. Centeno, C. D. Kloos, M. Gaedke, and M. Nussbaumer, “WCAG formalization with W3C standards,” 14th International World Wide Web Conference, WWW2005, pp. 1146–1147, 2005, doi: 10.1145/1062745.1062911.

J. C. Pereira and R. de F. S. M. Russo, “Design thinking integrated in agile software development: A systematic literature review,” Procedia Comput Sci, vol. 138, pp. 775–782, 2018, doi: 10.1016/j.procs.2018.10.101.

B.-M. Aleksandra, “Application of Batch and Automated (STP) Processes in Banking-Case Study Aseba BI 1.”

M. Daum, M. Götz, and J. D. Domaschka, “Integrating CEP and BPM - How CEP Realizes Functional Requirements of BPM Applications (Industry Article),” 2012, p. 410.

W. M. P. van der Aalst, M. Bichler, and A. Heinzl, “Robotic Process Automation,” Business and Information Systems Engineering, vol. 60, no. 4. Gabler Verlag, pp. 269–272, Aug. 01, 2018. doi: 10.1007/s12599-018-0542-4.

A. Ć. Hasibović and A. Tanović, “PRINCE2 vs Scrum in digital business transformation.”

J. R. Landis and G. G. Koch, “The Measurement of Observer Agreement for Categorical Data,” 1977.

J. Sageder, A. Demleitner, O. Irlbacher, and R. Wimmer, “Applying voting methods in user research,” in ACM International Conference Proceeding Series, Association for Computing Machinery, Sep. 2019, pp. 571–575. doi: 10.1145/3340764.3344461.

J. L. D. P. Bin Nie and A. C. Zhuo Wang, Improved Algorithm of C4.5 Decision Tree on the Arithmetic Average Optimal Selection Classification Attribute. IEEE, 2017.

H. A. Stoddard and E. D. Brownfield, “Creation and implementation of a taxonomy for educational activities: A common vocabulary to guide curriculum mapping,” Academic Medicine, vol. 93, no. 10, pp. 1486–1490, 2018, doi: 10.1097/ACM.0000000000002187.