Mitigating Response Delays in Free-Form Conversations with LLM-powered Intelligent Virtual Agents
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arXiv
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| Format: | Preprint |
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2025
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| author | Maslych, Mykola Katebi, Mohammadreza Lee, Christopher Hmaiti, Yahya Ghasemaghaei, Amirpouya Pumarada, Christian Palmer, Janneese Martinez, Esteban Segarra Emporio, Marco Snipes, Warren McMahan, Ryan P. LaViola Jr, Joseph J. |
| author_facet | Maslych, Mykola Katebi, Mohammadreza Lee, Christopher Hmaiti, Yahya Ghasemaghaei, Amirpouya Pumarada, Christian Palmer, Janneese Martinez, Esteban Segarra Emporio, Marco Snipes, Warren McMahan, Ryan P. LaViola Jr, Joseph J. |
| contents | We investigated the challenges of mitigating response delays in free-form conversations with virtual agents powered by Large Language Models (LLMs) within Virtual Reality (VR). For this, we used conversational fillers, such as gestures and verbal cues, to bridge delays between user input and system responses and evaluate their effectiveness across various latency levels and interaction scenarios. We found that latency above 4 seconds degrades quality of experience, while natural conversational fillers improve perceived response time, especially in high-delay conditions. Our findings provide insights for practitioners and researchers to optimize user engagement whenever conversational systems' responses are delayed by network limitations or slow hardware. We also contribute an open-source pipeline that streamlines deploying conversational agents in virtual environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_22352 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mitigating Response Delays in Free-Form Conversations with LLM-powered Intelligent Virtual Agents Maslych, Mykola Katebi, Mohammadreza Lee, Christopher Hmaiti, Yahya Ghasemaghaei, Amirpouya Pumarada, Christian Palmer, Janneese Martinez, Esteban Segarra Emporio, Marco Snipes, Warren McMahan, Ryan P. LaViola Jr, Joseph J. Human-Computer Interaction H.1.2; H.5.2; I.2.7; I.3.7 We investigated the challenges of mitigating response delays in free-form conversations with virtual agents powered by Large Language Models (LLMs) within Virtual Reality (VR). For this, we used conversational fillers, such as gestures and verbal cues, to bridge delays between user input and system responses and evaluate their effectiveness across various latency levels and interaction scenarios. We found that latency above 4 seconds degrades quality of experience, while natural conversational fillers improve perceived response time, especially in high-delay conditions. Our findings provide insights for practitioners and researchers to optimize user engagement whenever conversational systems' responses are delayed by network limitations or slow hardware. We also contribute an open-source pipeline that streamlines deploying conversational agents in virtual environments. |
| title | Mitigating Response Delays in Free-Form Conversations with LLM-powered Intelligent Virtual Agents |
| topic | Human-Computer Interaction H.1.2; H.5.2; I.2.7; I.3.7 |
| url | https://arxiv.org/abs/2507.22352 |