Large Language Models (LLMs) hold the potential to perform a variety of text processing tasks and provide textual explanations for proposed actions or decisions. In the era of hybrid work, LLMs can provide intelligent decision support for workers who are designing their hybrid work plans. In particular, they can offer suggestions and explanations to workers balancing numerous decision factors, thereby enhancing their work experience. In this paper, we present a decision support model for workspaces in hybrid work environments, leveraging the reasoning skill of LLMs. We first examine LLM's capability of making suitable workspace suggestions. We find that its reasoning extends beyond the guidelines in the prompt and the LLM can manage the trade-off among the available resources in the workspaces. We conduct an extensive user study to understand workers' decision process for workspace choices and evaluate the effectiveness of the system. We observe that a worker's decision could be influenced by the LLM's suggestions and explanations. The participants in our study find the system to be convenient, regardless of whether reasons are provided or not. Our results show that employees can benefit from the LLM-empowered system for their workspace selection in hybrid workplace.

翻译：大型语言模型（LLMs）具备执行多种文本处理任务的能力，并能针对所提出的行动或决策提供文本解释。在混合办公时代，LLMs可为制定混合工作计划的员工提供智能决策支持，尤其能通过建议与解释帮助员工平衡多重决策因素，从而提升工作体验。本文提出一种基于LLM推理能力的混合办公环境决策支持模型。我们首先评估了LLM在合理推荐办公场所方面的能力，发现其推理能力不仅超越了提示词中的规范准则，还能有效权衡办公场所中可用资源间的冲突。通过开展大规模用户研究，我们深入理解员工选择办公场所的决策过程，并检验了系统的有效性。研究发现，员工的决策可能受到LLM建议与解释的影响。无论是否附带解释说明，参与实验的用户均认为该系统使用便捷。研究结果表明，员工能够在混合办公场景中受益于基于LLM的办公场所选择系统。