Spotify

apartmentCompanybar_chart#417 Global Rank

Total Papers

HCI Rank

#417

Research Areas

Years Active

Recent Publications

TastePaths: Enabling Deeper Exploration and Understanding of Personal Preferences in Recommender Systems

Recommender systems are ubiquitous and influence the information we consume on a daily basis by helping us navigate vast catalogs of information like music databases. However, their linear approach of surfacing content in ranked lists limits their ability to help us grow and understand our personal preferences. In thi…

CSCW '21Algorithmic Auditing and Responsible AI

Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for shifting Organizational Practices

Large and ever-evolving technology companies continue to invest more time and resources to incorporate responsible Artificial Intelligence (AI) into production-ready systems to increase algorithmic accountability. This paper examines and seeks to offer a framework for analyzing how organizational culture and structure…

CSCW '21Voice and Speech

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

Voice assistants offer users access to an increasing variety of personalized functionalities. The researchers and engineers who build these experiences rely on various signals from users to create the machine learning models powering them. One type of signal is explicit in situ feedback. While collecting explicit in s…

CHI '21AI Ethics, Fairness & Accountability +1

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

In order to support fairness-forward thinking by machine learning (ML) practitioners, fairness researchers have created toolkits that aim to transform state-of-the-art research contributions into easily-accessible APIs. Despite these efforts, recent research indicates a disconnect between the needs of practitioners an…

CHI '21Mental Health Apps & Online Support Communities +1

Self-E: Smartphone-Supported Guidance for Customizable Self-Experimentation

The ubiquity of self-tracking devices and smartphone apps has empowered people to collect data about themselves and try to self-improve. However, people with little to no personal analytics experience may not be able to analyze data or run experiments on their own (self-experiments). To lower the barrier to interventi…

DIS '20Voice User Interface (VUI) Design +2

Using Remote Controlled Speech Agents to Explore Music Experience in Context

It can be difficult for user researchers to explore how people might interact with interactive systems in everyday contexts; time and space limitations make it hard to be present everywhere that technology is used. Digital music services are one domain where designing for context is important given the myriad places p…

CHI '20Intelligent Voice Assistants (Alexa, Siri, etc.) +1

Giving Voice to Silent Data: Designing with Personal Music Listening History

Music streaming services collect listener data to support personalization and discovery of their extensive catalogs. Yet this data is typically used in ways that are not immediately apparent to listeners. We conducted design workshops with ten Spotify listeners to imagine future voice assistant (VA) interactions lever…

CHI '19Recommender System UX

Just Give Me What I Want: How People Use and Evaluate Music Search

Music-streaming platforms offer users a large amount of content for consumption. Finding the right music can be challenging and users often need to search through extensive catalogs provided by these platforms. Prior research has focused on general-domain web search, which is designed to meet a broad range of user goa…

IUI '19Explainable AI (XAI) +1

Progressive Disclosure: Empirically Motivated Approaches to Designing Effective Transparency

As we increasingly delegate important decisions to intelligent systems, it is essential that users understand how algorithmic decisions are made. Prior work has often taken a technocentric approach to transparency. In contrast, we explore empirical user-centric methods to better understand user reactions to transparen…

CHI '18Voice User Interface (VUI) Design +2

“Play PRBLMS”: Identifying and Correcting Less Accessible Content in Voice Interfaces

Voice interfaces often struggle with specific types of named content. Domain-specific terminology and naming may push the bounds of standard language, especially in domains like music where artistic creativity extends beyond the music itself. Artists may name themselves with symbols (e.g. M△S▴C△RA) that most standard…

View all 11 papers →

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/institutions/Spotify?source=all

At a Glance

Institution Snapshot

analytics

tag

Display Name

Spotify

public

Location

Sweden · Europe

leaderboard

Overall Rank

#417

article

Total Papers

calendar_month

Active Years

2018-2022

groups

Network

14 researchers · 0 collaborators

Research Profile

Top Research Directions

query_stats

Voice Interaction & Conversational Systems

Voice User Interface (VUI) Design

AI & Machine Learning Interaction

Recommender System UX

Health, Healthcare & Wellbeing

Mental Health Apps & Online Support Communities

Data Visualization & Information Design

Interactive Data Visualization

Ethics, Fairness, Social Justice & Inclusion

Algorithmic Fairness & Bias