Shikha Verma Kashyap
Biographic Data
| ID | 8967855 |
|---|---|
| NAME | Shikha Verma Kashyap |
| GIVEN NAMES | Shikha Verma |
| FAMILY NAME | Kashyap |
| SIGNATURE | KASHYAP S V |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predictive Models for Dance Competition Judging
Judging dance competitions is dependent on the subjective judgment of highly multimodal dances, which is very likely to be subjective and unequal. The paper will present a predictive modeling architecture of dance competition judging based on the multimodal performance analytics and decision support algorithms built on machine learning. The representation of dance performances with synchronized visual movement, audio rhythm, and spatial trajector…
Ai-Enhanced Audience Experience in Modern Art Spaces
Contemporary art environments are becoming anticipated to provide immersive, participatory, and personal experiences to the audience that goes beyond the usual model of traditional static exhibition. To aid the process of co-creative interaction, this paper will suggest an artificial intelligence-based AI-enhanced framework of audience experience in modern art spaces that combines multimodal sensing, artificial intelligence, and adaptive interact…
Voice Recognition Ai in Music Education Platforms
Voice recognition artificial intelligence (AI) can be described as a radical technology in music education platforms, which allows personalized, data-driven and scalable experiences in vocal training. The conventional method of music pedagogy is based on teacher-directed feedback, which is sometimes time-consuming, subjective, and hard to compare with different groups of learners. Conversely, systems that use voice recognition take advantage of t…
Visual Storytelling and Explainable Intelligence in Organizational Change Communication
The failure to align communication, trust, and lack of understanding of complex strategic decisions by stakeholders is a common cause of failure in the organization change initiatives. This study discusses the use of visual storytelling in conjunction with explainable artificial intelligence to promote organizational change communication through better sensemaking, transparency, and interactions among various stakeholder groups. Visual storytelli…
No prominent works on this page.
Visual Storytelling and Explainable Intelligence in Organizational Change Communication
The failure to align communication, trust, and lack of understanding of complex strategic decisions by stakeholders is a common cause of failure in the organization change initiatives. This study discusses the use of visual storytelling in conjunction with explainable artificial intelligence to promote organizational change communication through better sensemaking, transparency, and interactions among various stakeholder groups. Visual storytelli…
Predictive Models for Dance Competition Judging
Judging dance competitions is dependent on the subjective judgment of highly multimodal dances, which is very likely to be subjective and unequal. The paper will present a predictive modeling architecture of dance competition judging based on the multimodal performance analytics and decision support algorithms built on machine learning. The representation of dance performances with synchronized visual movement, audio rhythm, and spatial trajector…
Ai-Enhanced Audience Experience in Modern Art Spaces
Contemporary art environments are becoming anticipated to provide immersive, participatory, and personal experiences to the audience that goes beyond the usual model of traditional static exhibition. To aid the process of co-creative interaction, this paper will suggest an artificial intelligence-based AI-enhanced framework of audience experience in modern art spaces that combines multimodal sensing, artificial intelligence, and adaptive interact…
Voice Recognition Ai in Music Education Platforms
Voice recognition artificial intelligence (AI) can be described as a radical technology in music education platforms, which allows personalized, data-driven and scalable experiences in vocal training. The conventional method of music pedagogy is based on teacher-directed feedback, which is sometimes time-consuming, subjective, and hard to compare with different groups of learners. Conversely, systems that use voice recognition take advantage of t…
Aesthetic Perception and Analysis (1 work) · Analytics (1 work) · Architecture (1 work) · Art, Technology, and Culture (1 work) · Artificial Intelligence in Games (1 work) · Artificial neural network (1 work) · Audience response (1 work) · Cepstrum (1 work) · Conceptualization (1 work) · Dance (1 work)