Human-Computer Interaction

Human-computer interaction research at Spotify focuses on deeply understanding how people interact with music and audio across a variety of modalities including conversation and text entry on platforms ranging from mobile phones to voice controlled speakers. This understanding includes how people relate socially and emotionally to music and audio content, how they converse with voice assistants to request and describe music and how context influences audio consumption. We use interdisciplinary qualitative and quantitative research methods to deliver design prototypes of novel interaction paradigms and fundamental insights about how people experience music and audio.

Latest Human-Computer Interaction Publications

September 2022 | Interspeech

Exploring audio-based stylistic variation in podcasts

Katariina Martikainen, Jussi Karlgren, Khiet Truong

March 2022 | Intelligent User Interfaces (IUI)

TastePaths: Enabling deeper exploration and understanding of personal preferences in recommender systems

Saavas Petridis, Nediyana Daskalova, Sarah Mennicken, Samuel F. Way, Paul Lamere, Jennifer Thom

October 2021 | CSCW

Let Me Ask You This: How Can a Voice Assistant Elicit Explicit User Feedback?

Ziang Xiao, Sarah Mennicken, Bernd Huber, Adam Shonkoff, Jennifer Thom