Manoj Deshpande
Papers
1
Total Citations
11
H-Index
1
About
Manoj Deshpande is a pioneering researcher in human-AI co-creativity, with a focus on understanding how interaction dynamics shape collaborative experiences between humans and intelligent systems. His work investigates the perceptual nuances of co-creative processes, particularly through the lens of different interaction modalities—including human-human, human-robot, and human-software partnerships. In his highly cited 2024 study, "Perceptions of Interaction Dynamics in Co-Creative AI: A Comparative Study of Interaction Modalities in Drawcto," Deshpande employs the Wizard of Oz methodology within the Drawcto drawing system to reveal how the medium of interaction fundamentally alters users' perceptions of agency, creativity, and collaboration. With 11 citations in its first year, this work has already influenced emerging discussions on designing more intuitive and engaging co-creative AI. Deshpande’s contributions bridge cognitive science, human-computer interaction, and artificial intelligence, offering critical insights for developing AI partners that feel truly collaborative. His research is essential reading for anyone interested in the future of human-AI teamwork, creative AI systems, and the subtle factors that make co-creation feel authentic and rewarding.
Research Focus
Key Achievements
Top Papers
- 1