Designing, Developing, and Democratizing Guidance for Visual Analytics
Georgia Tech ยท 2024
โ 2025 IEEE VGTC Visualization Dissertation Award
Abstract
This dissertation develops a human-centered approach to guidance in visual analytics across three connected goals: designing ways to communicate guidance, developing guidance-enriched systems with end users, and democratizing their creation through reusable interface components. Together, these contributions help people and AI collaborate more effectively during complex data analysis.
Citation
@phdthesis{narechania2024guidance,
author = {Narechania, Arpit Ajay},
title = {{Designing, Developing, and Democratizing Guidance for Visual Analytics}},
school = {Georgia Institute of Technology},
year = {2024},
month = dec,
type = {Ph.D. dissertation},
url = {https://narechania.com/docs/arpit_narechania_cs_phd_dissertation.pdf}
}