Valeria López Torres, Ph.D.
Bio
Dr. Valeria López Torres investigates how design and technology shape lived experiences, specifically focusing on how humans think, work, and collaborate with autonomous systems through interdisciplinary perspectives.
As a specialist in Human-AI Interaction, her research addresses both the functional and socio-technical dimensions of machine intelligence. Her work in Explainable AI (XAI), including recent research supported by the Laboratory for Analytic Sciences (LAS), involves developing tailored visual interfaces to support decision-making within the intelligence community. Complementing this functional focus is her research into artificial companionship, examining the role of authenticity and the evolving nature of human-AI relationships.
A leader in design pedagogy, Dr. López Torres spearheads curricular efforts that bridge traditional design foundations with essential AI competencies, including the design and implementation of cross-disciplinary curriculum initiatives. Her pedagogical research also explores the integration of More-than-Human perspectives into experience design, situating the designer’s role within a broader context of systemic and ecological responsibility.
Education
Ph.D. Design University of Minnesota, Twin Cities 2024
M.A. Design; Art Minor University of Minnesota, Twin Cities 2015
B.S. Communication & Media Studies Universidad Salesiana, Mexico City 2009
Area(s) of Expertise
Human-AI Interaction (HAI)
Explainable AI (XAI)
Experience Design (XD)
UX/UI Design
Design Pedagogy
Publications
- Integrating AI in Design Education: Lessons from a Cross-Disciplinary Curriculum Sprint , IASDR 2025: Design Next (2025)
- New Tools for Empathy: An Interdisciplinary Approach to Incorporating More-Than-Human Perspectives in Experience Design Education , National Conference on the Beginning Design Student (NCBDS 40) (2025)
- Authenticity In The Age Of AI: A User-Centered Approach To Human–Artificial Companion Relationships , (2024)
- Before and after lockdown: a longitudinal study of long-term human-AI relationships , AHFE international (2023)