Papers

1

Total Citations

8

H-Index

1

About

A. Picard is a researcher at the forefront of human-computer interaction (HCI), with a particular focus on the critical intersection of usability and artificial intelligence. Their most-cited work, "Human-Computer Interaction and Explainability: Intersection and Terminology" (2023), has already garnered 8 citations, establishing a foundational framework for how we define and discuss explainable AI within user-centered design. Picard’s major contribution lies in clarifying the often-blurred terminology between technical explainability and user comprehension, bridging the gap between machine learning developers and HCI practitioners. By systematically mapping the conceptual overlap, they have provided a vital lexicon for researchers striving to build AI systems that are not only powerful but also transparent and trustworthy. This work is particularly notable for its timely synthesis of two rapidly evolving fields, offering a clear roadmap for future studies on user-facing AI explanations. Picard’s research is essential reading for anyone interested in making complex algorithms understandable and usable for everyday people, ensuring that the next generation of technology is built with human needs at its core.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Human-Computer Interaction and Explainability: Intersection and Terminology
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Université de technologie de belfort-montbéliard

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago