How people prompt generative AI to create interactive VR scenes
Generative AI tools can provide people with the ability to create virtual environments and scenes with natural language prompts. Yet, how people will formulate such prompts is unclear---particularly when they inhabit the environment that they are designing. For instance, it is likely that a person m...
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sg-smu-ink.sis_research-99802024-10-17T07:10:29Z How people prompt generative AI to create interactive VR scenes AGHEL MANESH, Setareh ZHANG, Tianyi ONISHI, Yuki HARA, Kotaro BATEMAN, Scott LI, Jiannan TANG, Anthony Generative AI tools can provide people with the ability to create virtual environments and scenes with natural language prompts. Yet, how people will formulate such prompts is unclear---particularly when they inhabit the environment that they are designing. For instance, it is likely that a person might say, "Put a chair here,'' while pointing at a location. If such linguistic and embodied features are common to people's prompts, we need to tune models to accommodate them. In this work, we present a Wizard of Oz elicitation study with 22 participants, where we studied people's implicit expectations when verbally prompting such programming agents to create interactive VR scenes. Our findings show when people prompted the agent, they had several implicit expectations of these agents: (1) they should have an embodied knowledge of the environment; (2) they should understand embodied prompts by users; (3) they should recall previous states of the scene and the conversation, and that (4) they should have a commonsense understanding of objects in the scene. Further, we found that participants prompted differently when they were prompting in situ (i.e. within the VR environment) versus ex situ (i.e. viewing the VR environment from the outside). To explore how these lessons could be applied, we designed and built Ostaad, a conversational programming agent that allows non-programmers to design interactive VR experiences that they inhabit. Based on these explorations, we outline new opportunities and challenges for conversational programming agents that create VR environments. 2024-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8977 info:doi/10.1145/3643834.3661547 https://ink.library.smu.edu.sg/context/sis_research/article/9980/viewcontent/3643834.3661547.pdf http://creativecommons.org/licenses/by/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University generative ai virtual reality prompting interactive virtual reality multi-modal embodied prompting embodied interaction Artificial Intelligence and Robotics Graphics and Human Computer Interfaces |
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generative ai virtual reality prompting interactive virtual reality multi-modal embodied prompting embodied interaction Artificial Intelligence and Robotics Graphics and Human Computer Interfaces AGHEL MANESH, Setareh ZHANG, Tianyi ONISHI, Yuki HARA, Kotaro BATEMAN, Scott LI, Jiannan TANG, Anthony How people prompt generative AI to create interactive VR scenes |
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Generative AI tools can provide people with the ability to create virtual environments and scenes with natural language prompts. Yet, how people will formulate such prompts is unclear---particularly when they inhabit the environment that they are designing. For instance, it is likely that a person might say, "Put a chair here,'' while pointing at a location. If such linguistic and embodied features are common to people's prompts, we need to tune models to accommodate them. In this work, we present a Wizard of Oz elicitation study with 22 participants, where we studied people's implicit expectations when verbally prompting such programming agents to create interactive VR scenes. Our findings show when people prompted the agent, they had several implicit expectations of these agents: (1) they should have an embodied knowledge of the environment; (2) they should understand embodied prompts by users; (3) they should recall previous states of the scene and the conversation, and that (4) they should have a commonsense understanding of objects in the scene. Further, we found that participants prompted differently when they were prompting in situ (i.e. within the VR environment) versus ex situ (i.e. viewing the VR environment from the outside). To explore how these lessons could be applied, we designed and built Ostaad, a conversational programming agent that allows non-programmers to design interactive VR experiences that they inhabit. Based on these explorations, we outline new opportunities and challenges for conversational programming agents that create VR environments. |
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text |
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AGHEL MANESH, Setareh ZHANG, Tianyi ONISHI, Yuki HARA, Kotaro BATEMAN, Scott LI, Jiannan TANG, Anthony |
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AGHEL MANESH, Setareh ZHANG, Tianyi ONISHI, Yuki HARA, Kotaro BATEMAN, Scott LI, Jiannan TANG, Anthony |
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AGHEL MANESH, Setareh |
title |
How people prompt generative AI to create interactive VR scenes |
title_short |
How people prompt generative AI to create interactive VR scenes |
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How people prompt generative AI to create interactive VR scenes |
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How people prompt generative AI to create interactive VR scenes |
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How people prompt generative AI to create interactive VR scenes |
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how people prompt generative ai to create interactive vr scenes |
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Institutional Knowledge at Singapore Management University |
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2024 |
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https://ink.library.smu.edu.sg/sis_research/8977 https://ink.library.smu.edu.sg/context/sis_research/article/9980/viewcontent/3643834.3661547.pdf |
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