Towards Algorithmic Experience: Initial Efforts for Social Media Contexts. - Oscar Alvarado 001; Annika Waern (CHI, 2018)

Tell Me What You Know: GDPR Implications on Designing Transparency and Accountability for News Recommender Systems. - Luciana Monteiro Krebs; Oscar Luis Alvarado Rodriguez; Pierre Dewitte; Jef Ausloos; David Geerts; Laurens Naudts; Katrien Verbert (CHI Extended Abstracts, 2019)

"I Really Don't Know What 'Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms. - Oscar Alvarado 001; Vero Vanden Abeele; David Geerts; Katrien Verbert (INTERACT (3), 2019)

Breaking the Fourth Wall: Embodied Interfaces for a Better Algorithmic Experience with Recommender Algorithms. - Oscar Alvarado 001 (TEI, 2019)

Meaningful interactions lab (Mintlab). - Bieke Zaman; Roos Voorend; Lawrence Van den Bogaert; Elias Storms; Karin Slegers; Jessica Schoffelen; Kevin Sanders; Isa Rutten; Rob van Roy; Marije Nouwen; Çisem Özkul; Luciana Monteiro Krebs; et al. (Interactions, 2019)

Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities. - Oscar Alvarado 001; Elias Storms; David Geerts; Katrien Verbert (NordiCHI, 2020)

Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube. - Oscar Alvarado 001; Hendrik Heuer; Vero Vanden Abeele; Andreas Breiter; Katrien Verbert (Proc. ACM Hum. Comput. Interact., 2020)

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations. - Oscar Alvarado 001; Vero Vanden Abeele; David Geerts; Francisco Gutiérrez; Katrien Verbert (TEI, 2021)

Touching the Explanations: Explaining Movie Recommendation Scores in Mobile Augmented Reality. - Po-Kai Yang; Oscar Luis Alvarado Rodriguez; Francisco Gutiérrez; Katrien Verbert (AIVR, 2022)

Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms. - Oscar Alvarado 001; Vero Vanden Abeele; David Geerts; Katrien Verbert (Proc. ACM Hum. Comput. Interact., 2022)

A Systematic Review of Interaction Design Strategies for Group Recommendation Systems. - Oscar Alvarado 001; Nyi Nyi Htun; Yucheng Jin; Katrien Verbert (Proc. ACM Hum. Comput. Interact., 2022)

'Transparency is Meant for Control' and Vice Versa: Learning from Co-designing and Evaluating Algorithmic News Recommenders. - Elias Storms; Oscar Alvarado 001; Luciana Monteiro Krebs (Proc. ACM Hum. Comput. Interact., 2022)