Louise Veling

National University of Ireland, Maynooth

Papers

Total Citations

H-Index

About

Louise Veling’s research sits at the vital intersection of human-robot interaction (HRI) and assistive technology, with a sharp focus on the needs of older adults. Her most influential work, "Qualitative Research in HRI: A Review and Taxonomy" (2021), with 46 citations, provides a foundational framework for understanding how qualitative methods can be rigorously applied to study human-robot relationships. This taxonomy has become a key reference for researchers seeking to move beyond purely quantitative metrics. Veling’s more recent contribution, "Assistive Robotics Needs for Older Care" (2024), tackles a persistent problem in the field: the gap between genuinely understanding older persons’ needs and translating those insights into actionable design solutions. By introducing the concept of "authentic citations," she offers a novel methodology to bridge this divide, ensuring that user voices are not lost in the engineering process. Her work is notable for its commitment to ethical, user-centered design, challenging the field to prioritize lived experience over technological novelty. Veling’s research is essential reading for anyone interested in creating assistive robots that are not just functional, but truly meaningful for the people they are meant to serve.