Citation

Zainal Abidin, Mohamad Izani and Mustaffa, Fauzan and Mohd Yusof, Mohd Hafizuddin and Ab. Razak, Aishah (2025) Optimizing Animation Workflows: Strategic Utilization of AI-Driven Tools in Diverse 3D Animation Scenarios. ALAM CIPTA International Journal Of Sustainable Tropical Design & Practice, 18 (S1). pp. 164-178. ISSN 1823-7231

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Abstract

This study presents a comprehensive evaluation of four leading AI-driven 3D animation tools; Plask, Radical, Deep Motion, and Pix Cap, through a mixedmethods approach that integrates structured performance testing, observational analysis, and expert interviews. The research addresses a critical gap in current literature and practice: although AI tools are increasingly adopted in 3D animation workflows, there remains limited guidance on how to strategically select and apply them across diverse production contexts. This lack of clarity often leads to inefficiencies, suboptimal outcomes, and underutilization of available technologies. To address this, each tool was assessed against key performance dimensions, including naturalness of movement, foot-locking accuracy, ease of use, and contextual suitability. The findings reveal distinct functional strengths: Plask for expressive character animation, Radical for dynamic motion sequences, Deep Motion for precision in grounded interactions, and Pix Cap for rapid deployment in low-complexity projects. These insights are further contextualized through practitioner-informed interviews, highlighting broader implications for workflow optimization, creative accessibility, and the evolving role of animators in AIintegrated environments. The study contributes to the growing discourse on AI in creative industries by offering actionable guidance for animation practitioners and emphasizing the transformative potential of AI in reshaping future animation workflows and production strategies.

Item Type:	Article
Uncontrolled Keywords:	3D animation, AI-driven tools, animation technology, workflow optimization
Subjects:	T Technology > TR Photography > TR845-899 Cinematography. Motion pictures
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Nurin Syazwani Azmi
Date Deposited:	06 Nov 2025 03:50
Last Modified:	06 Nov 2025 03:50
URII:	http://shdl.mmu.edu.my/id/eprint/14714

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