Would You Tell Spotify How You're Feeling? Exploring Acceptability and Ethics of Emotion-Regulation Plugins for Music Streaming Apps

How they used Delve

Researchers at the University of Melbourne used Delve to code 22 interview transcripts about the acceptability and ethics of emotion-regulation plugins for music-streaming apps like Spotify, combining deductive semantic coding by the first author with inductive latent coding calibrated by three authors.

“(Phase 2) Using the Delve software, the first author deductively coded 22 transcripts based on the research questions on a semantic level, to understand participants' perceived benefits and risks of an emotion-regulation feature, and their willingness to use it in daily life. [...] Three authors then worked through two transcripts inductively to explore the underlying (latent) meanings from participants' responses.”

Field

human-computer interaction; digital mental health; music streaming

Data

Interviews with 22 participants about an emotion-regulation feature for music-streaming apps: perceived benefits, risks, and willingness to use it day to day

Approach

Thematic analysis in Braun & Clarke's terms: deductive semantic coding against the research questions, then inductive latent coding, calibrated on two transcripts by three authors

Data types

Interviews