Abstract
This paper represents one of the first attempts to define a quality model capturing the peculiarities of intelligent personal assistants (IPAs). Driven by the results of current studies, we took a better look at the features of IPAs and identified pragmatic and hedonic dimensions that reflect the quality of such applications as perceived by the end users. As a follow up, we experimentally assessed the relevance of the determined quality dimensions. Taking into account the number and strength of differences in pairwise comparisons that was found between evaluated IPAs, the proposed set of attributes was classified into five different groups. Findings reported in the paper can be used by researchers as a foundation for future advances in the field as well as by practitioners as a framework for evaluating existing and developing new intelligent personal assistants (IPAs).
The original version of this chapter was revised: For detailed information please see Erratum. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-73888-8_120
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Goksel-Canbek, N., Mutlu, M.E.: On the track of artificial intelligence: learning with intelligent personal assistants. J. Hum. Sci. 13(1), 592–601 (2016)
Harish, A., Naveensankar, K.S., Abdullah, M., Devi, K.K.: VFF-a framework for linking virtual assistants with IoT. In: Proceedings of National Conference on Communication and Informatics, pp. 58–62. Sri Venkateswara College of Engineering, Sriperumbudur (2016)
Hennig, N.: Natural user interfaces and accessibility. Libr. Technol. Rep. 52(3), 5–17 (2016)
Jiang, J., Awadallah, A.H., Jones, R., Ozertem, U., Zitouni, I., Kulkarni, R.G., Khan, O.Z.: Automatic online evaluation of intelligent assistants. In: Proceedings of the 24th International Conference on World Wide Web, pp. 506–516. ACM, Florence (2015)
Reis, A., Paulino, D., Paredes, H., Barroso, J.: Using intelligent personal assistants to strengthen the Elderlies’ social bonds - a preliminary evaluation of Amazon Alexa, Google Assistant, Microsoft Cortana, and Apple Siri. In: Antona M., Stephanidis C. (eds.) Universal Access in Human–Computer Interaction. Human and Technological Environments. Lecture Notes in Computer Science, vol. 10279, pp. 593–602. Springer, Cham (2017)
Kiseleva, J., Williams, K., Jiang, J., Awadallah, A.H., Crook, A.C., Zitouni, I., Anastasakos, T.: Understanding user satisfaction with intelligent assistants. In: Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval, pp. 121–130. ACM, Carrboro (2016)
Strayer, D.L., Cooper, J.M., Turrill, J., Coleman, J.R., Hopman, R.J.: The smartphone and the driver’s cognitive workload: a comparison of Apple, Google, and Microsoft’s intelligent personal assistants. Can. J. Exp. Psychol. 71(2), 93–110 (2017)
Luger, E., Sellen, A.: Like having a really bad PA: the gulf between user expectation and experience of conversational agents. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5286–5297. ACM, San Jose (2016)
López, G., Quesada, L., Guerrero, L.A.: Alexa vs. Siri vs. Cortana vs. Google Assistant: a comparison of speech-based natural user interfaces. In: Nunes, I. (ed.) Advances in Human Factors and Systems Interaction. Advances in Intelligent Systems and Computing, vol. 592, pp. 241–250. Springer, Cham (2018)
Orehovački, T., Granić, A., Kermek, D.: Evaluating the perceived and estimated quality in use of web 2.0 applications. J. Syst. Softw. 86(12), 3039–3059 (2013)
Orehovački, T., Babić, S.: Identifying the relevance of quality dimensions contributing to universal access of social web applications for collaborative writing on mobile devices: an empirical study. Univ. Access Inf. Soc. (2017). https://doi.org/10.1007/s10209-017-0555-7
Cohen, J.: A power primer. Psychol. Bull. 112(1), 155–159 (1992)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Orehovački, T., Babić, S., Etinger, D. (2018). Modelling the Perceived Pragmatic and Hedonic Quality of Intelligent Personal Assistants. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_91
Download citation
DOI: https://doi.org/10.1007/978-3-319-73888-8_91
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73887-1
Online ISBN: 978-3-319-73888-8
eBook Packages: EngineeringEngineering (R0)