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Cristie, Verina; Joyce, Sam Conrad

doi:10.1145/3170427.3188446

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems 2018

DOI: 10.1145/3170427.3188446

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Verina Cristie

Sam Conrad Joyce

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2022

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NCAlt: Alternatives and Difference Visualizations for Behavior Trees in Game Development Learning

Hossain

Zaman

2022

Proc. ACM Hum.-Comput. Interact.

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When learning how to develop AI behavior it is common for students to test different ideas before settling on a desired outcome. This functionality is not available in modern behavior tree systems beyond the traditional methods of duplication and conditional execution. We present NCAlt - a visual behavior authoring framework for exploring multiple game AI behaviors. The system also allows selective merging of nodes between multiple behavior tree alternatives and their visual differencing in the game scene and behavior tree views. We present two worked examples which demonstrate how NCAlt can improve the workflow of game development students. We have conducted a user study where NCAlt was compared against NodeCanvas for creating and using alternatives with moderately skilled game development students. Participants rated NCAlt 15% higher than NodeCanvas on the System Usability Scale (SUS). NCAlt was also rated higher on a self-developed questionnaire. We also conducted a semi-structured interview and a detailed longitudinal follow-up and obtained mostly positive feedback for NCAlt. The results suggest NCAlt has a potential to improve the types of workflows with behavior trees that involve exploration for game development students and facilitate learning, as a result. NCAlt was built on top of NodeCanvas - a plugin for the Unity Engine.

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NCAlt: Alternatives and Difference Visualizations for Behavior Trees in Game Development Learning

Hossain

Zaman

2022

Proc. ACM Hum.-Comput. Interact.

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GHShot

Cited by 1 publication

References 10 publications

NCAlt: Alternatives and Difference Visualizations for Behavior Trees in Game Development Learning

NCAlt: Alternatives and Difference Visualizations for Behavior Trees in Game Development Learning

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