HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Recommendation, Personalization, and Exploration / Media Content Recommendation Exploration and Control

How do contextual factors such as activity, environment, and emotion influence music preferences?

helpResearch questionMedia Content Recommendation Exploration and Control

How do contextual factors such as activity, environment, and emotion influence music preferences?

UbiComp '22Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets

Similar questions

helpResearch questionMedia Content Recommendation Exploration and Control

What strategies do users adopt when facing TikTok recommendations that do not match their interests?

CHI '25“They’ve Over-Emphasized That One Search”: Controlling Unwanted Content on TikTok's For You Page

helpResearch questionMedia Content Recommendation Exploration and Control

Why do TikTok recommendation algorithms show 'algorithmic persistence' in response to users' rejection signals?

CHI '25“They’ve Over-Emphasized That One Search”: Controlling Unwanted Content on TikTok's For You Page

helpResearch questionMedia Content Recommendation Exploration and Control

Can users' behavioral strategies effectively improve recommender adaptivity?

CHI '25“They’ve Over-Emphasized That One Search”: Controlling Unwanted Content on TikTok's For You Page

helpResearch questionMedia Content Recommendation Exploration and Control

How do TikTok's short-video recommendation algorithms affect user behavior and engagement?

CHI '24Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations

helpResearch questionMedia Content Recommendation Exploration and Control

How do users' usage time and engagement patterns change over time?

CHI '24Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations

helpResearch questionMedia Content Recommendation Exploration and Control

Why do videos from unfollowed accounts perform better in user interaction?

CHI '24Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations

Related papers

“They’ve Over-Emphasized That One Search”: Controlling Unwanted Content on TikTok's For You Page

Julie A. Vera, Sourojit Ghosh

Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations

Savvas Zannettou, Olivia Nemes-Nemeth, Oshrat Ayalon

Personalised Yet Impersonal: Listeners' Experiences Of Algorithmic Curation On Music Streaming Services

Sophie Freeman, Martin Gibbs, Bjorn Nansen

SwitchTube: A Proof-of-Concept System Introducing "Adaptable Commitment Interfaces" as a Tool for Digital Wellbeing

Kai Lukoff, Ulrik Lyngs, Karina Shirokova

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

Savvas Petridis, Nediyana Daskalova, Sarah Mennicken

OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with Strangers

Md Momen Bhuiyan, Carlos Augusto Bautista Isaza, Tanushree Mitra

Non-Linear Consumption of Videos Using a Sequence of Personalized Multimodal Fragments

Gaurav Verma, Trikay Nalamada, Keerti Harpavat

Interactive music genre exploration with visualization and mood control

Yu Liang, Martijn C. Willemsen

The Subconscious Director: Dynamically Personalizing Videos Using Gaze Data

Melanie Heck, Janick Edinger, Jonathan Bünemann

How the Design of YouTube Influences User Sense of Agency

Kai Lukoff, Ulrik Lyngs, Himanshu Zade