Gaurav Dilip Tikas
Papers
1
Total Citations
24
H-Index
1
About
Gaurav Dilip Tikas is a rising scholar in human-robot interaction (HRI), whose work bridges the methodological and practical challenges of designing studies in this deeply multidisciplinary field. His most-cited paper, “Lessons Learned About Designing and Conducting Studies From HRI Experts” (2022, 24 citations), distills critical insights from seasoned researchers, offering a practical roadmap for navigating the complexities of HRI—a domain that demands fluency in computer science, engineering, psychology, and philosophy. By synthesizing expert advice, Tikas helps researchers avoid common pitfalls and design more robust, impactful studies. This contribution is especially valuable for early-career investigators seeking to master the interdisciplinary rigor HRI requires. While his citation count is still growing, his work signals a thoughtful, community-oriented approach to advancing the field. Tikas’s focus on study design and methodological transparency positions him as a key voice in shaping how HRI research is conducted, ensuring that future work is both scientifically sound and ethically grounded.
Research Focus
Key Achievements
Top Papers
- 1Lessons Learned About Designing and Conducting Studies From HRI Experts24 citations · 2022