Enhancing User Satisfaction Through Micro-interactions: A Qualitative Study of Usability on Spotify
2024 (English)Independent thesis Basic level (degree of Bachelor), 180 HE credits
Student thesis
Abstract [en]
This study investigates the impact of micro-interactions on user satisfaction within music applications, specifically examining the usability differences between simpler and more complex interactions. The research employs semi-structured interviews to assess user satisfaction with two different levels of micro-interaction complexity. The goal is to derive actionable insights for optimising user-centred design in digital music streaming platforms, ultimately enhancing user satisfaction.
The semi-structured interview method is chosen for this study, with the assistance of A/B testing designed by the researchers to gain realistic and informative qualitative data. To analyse a large amount of qualitative data, thematic analysis is utilised as the analytic method.
The results reveal a clear preference for simple micro-interactions. Participants found these interactions required fewer steps, were more intuitive, and demanded minimal cognitive effort, thereby avoiding information and feature overload. In contrast, complex micro-interactions often led to confusion and frustration due to unnecessary complexity and unclear iconography. Moreover, participants expressed a need for personalised and voice-activated interactions to enhance usability and accessibility in diverse contexts.
These findings underscore the importance of designing micro-interactions that align with users' mental models and preferences. By prioritising simplicity, intuitiveness, and personalization, music streaming services can significantly improve user satisfaction and engagement.
Place, publisher, year, edition, pages
2024. , p. 76
Keywords [en]
Micro-interactions, Usability, User satisfaction, Music applications, Simplicity, Semi-structured interviews, User-centred design, Digital music streaming services, Qualitative research, Iterative design
National Category
Human Computer Interaction Design Visual Arts Electrical Engineering, Electronic Engineering, Information Engineering Media and Communication Technology Media and Communications Media Studies
Identifiers
URN: urn:nbn:se:hj:diva-65490OAI: oai:DiVA.org:hj-65490DiVA, id: diva2:1880002
Subject / course
JTH, Informatics
Supervisors
Examiners
2024-07-022024-06-292024-07-02Bibliographically approved