Match Musical: Avaliando a UX de Recursos Colaborativos no Spotify

  • Edward C. Souza Universidade Federal do Amazonas (UFAM)
  • Romualdo Costa Universidade Federal do Amazonas (UFAM)
  • Genildo Gomes Universidade Federal do Amazonas (UFAM)
  • Leandro Galvão Universidade Federal do Amazonas (UFAM)
  • Tanara Lauschner Universidade Federal do Amazonas (UFAM)
  • Bruno Gadelha Universidade Federal do Amazonas (UFAM)

Resumo


As plataforma de streamings de músicas apresentam recursos colaborativos como a criação de playlists entre seus usuários. Uma das plataformas mais utilizadas é o Spotify que apresenta um recurso de "Match" para criação colaborativa de playlists e o "JAM" para audição conjunta de música. Assim, este artigo apresenta um estudo que avalia a experiência do usuário nos recursos colaborativos do Spotify com o objetivo de identificar problemas de usabilidade e satisfação do usuário. O estudo foi realizado com 17 participantes que utilizaram os recursos e tiveram seus feedbacks coletados através das técnicas 3E (Expressing Emotions and Experience) e SAM (Self-Assessment Manikin). Os resultados mostraram que os principais problemas de usabilidade ocorreram devido à falta de informações sobre o uso dos recursos colaborativos e a existência deles. Os participantes também relataram dificuldades com a funcionalidade "Match" e a navegação e busca de usuários.

Palavras-chave: UX, Spotify, Recursos Colaborativos

Referências

Assunção, W. G., Prates, R. O., and Zaina, L. A. M. (2023). Managing cold-start issues in music recommendation systems: An approach based on user experience. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, pages 31–37.

Bradley, M. M. and Lang, P. J. (1994). Measuring emotion: the self-assessment manikin and the semantic differential. Journal of behavior therapy and experimental psychiatry, 25(1):49–59.

Colbjørnsen, T. (2021). The streaming network: Conceptualizing distribution economy, technology, and power in streaming media services. Convergence, 27(5):1264–1287.

de Figueiredo, C. D. and Barbosa, R. R. (2019). Spotify e construçao do gosto: uma breve analise sobre a oferta de playlists pela plataforma. Signos do consumo, 11(2):28–39.

Fietkiewicz, K. J., Hamari, J., Törhönen, M., and Zimmer, F. (2021). Introduction to the minitrack on streaming media in entertainment. In Proceedings of the 54th Hawaii International Conference on System Sciences, pages 3077–3078.

Freeman, S., Gibbs, M., and Nansen, B. (2022). ‘don’t mess with my algorithm’: Exploring the relationship between listeners and automated curation and recommendation on music streaming services. First Monday.

Hassenzahl, M., Diefenbach, S., and Goritz, A. (2010). Needs, affect, and interactive products–facets of user experience. Interacting with computers, 22(5):353–362.

Hu, X. (2019). Evaluating mobile music services in china: An exploration in user experience. Journal of Information Science, 45(1):16–28.

ISO9241-110 (2010). Ergonomics of Human-system Interaction: Part 210: Human-centred Design for Interactive Systems. ISO.

Lee, J. H. and Price, R. (2016). User experience with commercial music services: An empirical exploration. Journal of the Association for Information Science and Technology, 67(4):800–811.

Lee, J. H., Pritchard, L., and Hubbles, C. (2019). Can we listen to it together?: Factors influencing reception of music recommendations and post-recommendation behavior. In ISMIR, pages 663–669.

Marshall, L. (2015). ‘let’s keep music special. f—spotify’: on-demand streaming and the controversy over artist royalties. Creative Industries Journal, 8(2):177–189.

Park, S. Y. and Kaneshiro, B. (2021). Social music curation that works: Insights from successful collaborative playlists. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1):1–27.

Park, S. Y., Laplante, A., Lee, J. H., and Kaneshiro, B. (2019). Tunes together: Perception and experience of collaborative playlists. In ISMIR, pages 723–730.

Rivero, L. and Conte, T. (2015). Using a study to assess user experience evaluation methods from the point of view of users. In ICEIS (3), pages 88–95.

Rivero, L. and Conte, T. (2017). A systematic mapping study on research contributions on ux evaluation technologies. In Proceedings of the XVI Brazilian symposium on human factors in computing systems, pages 1–10.

Siles, I., Segura-Castillo, A., Sancho, M., and Solís-Quesada, R. (2019). Genres as social affect: Cultivating moods and emotions through playlists on spotify. Social Media+ Society, 5(2):2056305119847514.

Tähti, M. and Niemelä, M. (2006). 3e–expressing emotions and experiences. In WP9 Workshop on Innovative Approaches for Evaluating Affective Systems, pages 15–19. Citeseer.

Vermeeren, A. P., Law, E. L.-C., Roto, V., Obrist, M., Hoonhout, J., and Väänänen-Vainio-Mattila, K. (2010). User experience evaluation methods: current state and development needs. In Proceedings of the 6th Nordic conference on human-computer interaction: Extending boundaries, pages 521–530.
Publicado
29/04/2024
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SOUZA, Edward C.; COSTA, Romualdo; GOMES, Genildo; GALVÃO, Leandro; LAUSCHNER, Tanara; GADELHA, Bruno. Match Musical: Avaliando a UX de Recursos Colaborativos no Spotify. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 19. , 2024, Salvador/BA. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 98-111. ISSN 2326-2842. DOI: https://doi.org/10.5753/sbsc.2024.238074.