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

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

May 2021 | CHI

Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits

Brianna Richardson, Jean Garcia-Gathright, Samuel F. Way, Jennifer Thom, Henriette Cramer

October 2020 | ISMIR - International Society for Music Information Retrieval Conference

“Play Music”: User Motivations and Expectations for Non-specific Voice Queries

Jennifer Thom, Angela Nazarian, Ruth Brillman, Henriette Cramer, Sarah Mennicken