Manoj Deshpande

ORCID: 0009-0004-1307-2553
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About
Contact & Profiles
Research Areas
  • Innovative Human-Technology Interaction
  • Embodied and Extended Cognition
  • Action Observation and Synchronization
  • Virtual Reality Applications and Impacts
  • Video Analysis and Summarization
  • Opportunistic and Delay-Tolerant Networks
  • Sport Psychology and Performance
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Brain Tumor Detection and Classification
  • AI in Service Interactions
  • Diversity and Impact of Dance
  • Interactive and Immersive Displays
  • Context-Aware Activity Recognition Systems
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare
  • Human Motion and Animation
  • Industrial Vision Systems and Defect Detection
  • Ethics and Social Impacts of AI
  • Intelligent Tutoring Systems and Adaptive Learning
  • Human Pose and Action Recognition
  • Design Education and Practice

Georgia Institute of Technology
2023-2024

University of North Carolina at Charlotte
2019

Co-creation in embodied contexts is central to the human experience but often lacking our interactions with computers. We seek develop a better understanding of co-creativity inform human-centered design machines that can co-create us. In this paper, we ask: What characterizes dancers' experiences dyadic interaction movement improvisation? To answer this, ran focus groups 24 university dance students and conducted thematic analysis their responses. synthesize findings an Interconnected Model...

10.1145/3613904.3642677 article EN cc-by-nc-nd 2024-05-11

As artificial intelligence becomes more integral to daily life, the need design AI systems capable of understanding human interactions is increasingly important. This paper delves into integration social cognition in AI, tracing back its historical foundations and examining seminal theories like Newell's Bands Cognition, Minsky's Society Mind, etc., which have emphasized importance since AI's inception. We highlight shortcomings traditional computational theory mind approaches, particularly...

10.1145/3613905.3650998 article EN 2024-05-11

This paper explores how different interaction modalities with AI agents affect human perception of the co-creative process. We utilize Wizard Oz methodology within Drawcto, a drawing system, to examine co-creativity across three scenarios: human-human, human-robot, and human-software interactions. Using mixed-methods approach, we combined insights using Observable Creative Sensemaking (OCSM) method data from structured interviews. The study involved 20 participants engaging in collaborative...

10.1145/3635636.3656202 article EN Creativity and Cognition 2024-06-22

In a world with ever increasing needs for comfort, human race is relying more and on technological advancements to find solutions their problems. Home Automation Systems have become go-to arena in the recent years. following paper, we propose system that uses wholesome blending of some technologies like Internet Things, Natural Language Processing Machine Learning. The prime feature this that, it provides two modes communication user : Text Voice. text input from will be given via Chatbot...

10.1051/itmconf/20203201002 article EN cc-by ITM Web of Conferences 2020-01-01

This paper introduces a new method for quantifying open-ended collaborative embodied improvisation: Observable Creative Sense-Making (OCSM). technique builds on previous work (CSM), examines its shortcomings, and addresses it by reformalizing grounding CSM in current literature from social cognition an intersubjective perspective of creativity. We apply this to empirical studies human collaboration dance improvisation with 16 advanced college dancers establish the method's validity. The OCSM...

10.1145/3591196.3593514 article EN Creativity and Cognition 2023-06-18

This article introduces a method that combines human input and computation for analyzing motion from video recordings, specifically capturing dance movements. The central aim is to develop an innovative system processing videos. consists of four key stages: using pre-trained MediaPipe models interactive image segmentation, organizing videos efficiently through batching, identifying extracting keyframes, pinpointing accurate timestamps keyframes. pipeline part LuminAI, installation features...

10.1145/3658852.3659085 article EN 2024-05-30

We often perceive other peoples' presence implicitly, through the traces of their interactions with physical objects. What if our urban environments could mediate these allowing remotely located people each other's collectively? developed Pneuxels, a network programmable inflatables, placed at remote sites, that allow visitors in one site to promoting thereby sense collective awareness and place-making. Pneuxels (Pneumatic Pixels) are pneumatically actuated pixels, connected web-socket...

10.1145/3341162.3343828 article EN 2019-09-09

In this demonstration, we present a holographic projected version of LuminAI, which is an interactive art installation that allows participants to collaborate with AI dance partner by improvising movements together. By utilizing mix top-down and bottom-up approach, seek understand embodied co-creativity in improvisational setting better develop the design modular agent creatively dancer. The purpose demonstration describe five-module investigate how can immersive experience design-efficient,...

10.1145/3563703.3596658 article EN Designing Interactive Systems Conference 2023-07-08
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