Open Access

ARTICLE

A Knowledge-Based Pilot Study on Assessing the Music Influence

Sabin C. Buraga1, Octavian Dospinescu2,*
1 Faculty of Computer Science, University Alexandru Ioan Cuza, Iasi, 700706, Romania
2 Faculty of Economics and Business Administration, University Alexandru Ioan Cuza, Iasi, 700706, Romania
* Corresponding Author: Octavian Dospinescu. Email:

Computers, Materials & Continua 2021, 66(3), 2857-2873. https://doi.org/10.32604/cmc.2021.014429

Received 20 September 2020; Accepted 19 October 2020; Issue published 28 December 2020

Abstract

A knowledge-driven approach is proposed for assessing the music influence on university students. The proposed method of modeling and conducting the interactive pilot study can be useful to convey other surveys, interviews, and experiments created in various phases of the user interface (UI) design processes, as part of a general human-computer interaction (HCI) methodology. Benefiting from existing semantic Web and linked data standards, best practices, and tools, a microservice-oriented system is developed as a testbed platform able to generate playlists in a smart way according to users’ music preferences. This novel approach could bring also benefits for user interface adaptation by using semantic Web techniques. Statistical analysis based on the ANOVA method and post-experiment survey data led to the conclusion that music listened has a significant impact on students’ cognitive abilities in various contexts. All obtained results were semantically enhanced by using different conceptual models in order to create a knowledge graph providing support for automated reasoning. Also, a knowledge-based persona Web smart editor was implemented in order to include music preferences for certain categories of the potential users operating a specific interactive system.

Keywords

HCI; knowledge; conceptual model; methodology; music; pilot study

Cite This Article

S. C. Buraga and O. Dospinescu, "A knowledge-based pilot study on assessing the music influence," Computers, Materials & Continua, vol. 66, no.3, pp. 2857–2873, 2021.

Citations




This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1642

    View

  • 800

    Download

  • 0

    Like

Share Link

WeChat scan