dc.contributor.advisor | Zaman, Loutfouz | |
dc.contributor.author | Hossain, Md. Yousuf | |
dc.date.accessioned | 2022-05-24T15:55:39Z | |
dc.date.accessioned | 2022-06-15T15:31:45Z | |
dc.date.available | 2022-05-24T15:55:39Z | |
dc.date.available | 2022-06-15T15:31:45Z | |
dc.date.issued | 2020-12-01 | |
dc.identifier.uri | https://hdl.handle.net/10155/1458 | |
dc.description.abstract | A visual behavior authoring framework for exploring and comparing multiple game AI behavior alternatives is presented. A mixed method study revealed participants rated it higher compared to the control framework. Mostly positive feedback was also obtained in a semi-structured interview and a follow-up qualitative longitudinal study. An extension for collaboration using synchronous and asynchronous modes is also presented. A mixed methods study revealed that collaboration provides improvement over the control condition, but no differences were found between the collaboration modes. In a semi-structured interview, the synchronous mode was revealed to be useful for quick prototyping, while the asynchronous mode – for most other situations. Overall, the results suggest that proposed solutions have a potential to improve the exploration and collaboration for behavior tree development, but further research is necessary. | en |
dc.description.sponsorship | University of Ontario Institute of Technology | en |
dc.language.iso | en | en |
dc.subject | Behavior tree | en |
dc.subject | Alternatives | en |
dc.subject | Visualization | en |
dc.subject | Collaboration | en |
dc.title | Interfaces for alternatives, difference visualizations and collaborative authoring of behavior trees | en |
dc.type | Thesis | en |
dc.degree.level | Master of Science (MSc) | en |
dc.degree.discipline | Computer Science | en |