We present a comprehensive, user-centric approach to understand preferences
in AI-based productivity agents and develop personalized solutions tailored to
users' needs. Utilizing a two-phase method, we first conducted a survey with
363 participants, exploring various aspects of productivity, communication
style, agent approach, personality traits, personalization, and privacy.
Drawing on the survey insights, we developed a GPT-4 powered personalized
productivity agent that utilizes telemetry data gathered via Viva Insights from
information workers to provide tailored assistance. We compared its performance
with alternative productivity-assistive tools, such as dashboard and narrative,
in a study involving 40 participants. Our findings highlight the importance of
user-centric design, adaptability, and the balance between personalization and
privacy in AI-assisted productivity tools. By building on the insights
distilled from our study, we believe that our work can enable and guide future
research to further enhance productivity solutions, ultimately leading to
optimized efficiency and user experiences for information workers.

我们提出了一种全面的、以用户为中心的方法，以了解基于人工智能的生产力代理的偏好，并开发出根据用户需求定制的个性化解决方案。利用一个两阶段的方法，我们首先对 363 名参与者进行了调查，探讨了生产力、沟通风格、代理方法、个性特征、个性化和隐私等各个方面。基于此调查结果，我们开发了一款由 GPT-4 驱动的个性化生产力代理，利用通过 Viva Insights 从信息工作者那里收集到的遥测数据来提供定制帮助。我们在一个涉及 40 位参与者的研究中，将其性能与其他生产力辅助工具（如仪表板和故事情节）进行了比较。我们的研究发现强调了用户为中心的设计、适应性以及个性化与隐私之间的平衡在 AI 辅助生产力工具中的重要性。通过借鉴我们研究中的洞察，我们相信我们的工作可以推动未来的研究，进一步增强生产力解决方案，最终实现信息工作者的优化效率和用户体验。