PITCH: Designing Agentic Conversational Support for Planning and Self-reflection

Conversational ChatbotsKnowledge Worker Tools & WorkflowsUniversity Professors & ResearchersSoftware Engineers & Developers

Effective planning and reflection are essential for knowledge workers' productivity and well-being, yet many struggle with them. While conversational agents (CAs) have shown promise, existing approaches rely on repetitive check-in without variance. We designed PITCH, a CA that checks in twice daily for morning planning and evening reflection while considering the morning conversation. A two-week field study with 12 graduate students demonstrated that engagement with PITCH increased their perceived well-being over time. We also evaluated a rotation strategy, which cycles through diverse topics every day, hypothesizing that rotation would mitigate wear-out effects and offer new perspectives. The results revealed that the specificity of a randomly chosen goal was perceived as being out of context and authoritarian, with most preferring the non-rotation version for consistency and flexibility. These findings highlight the potential of CAs to support knowledge workers and offer design considerations for varying conversations to provide topical diversity.

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https://hci.top/en/papers/cui/204427/2025

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DOI: https://doi.org/10.1145/3719160.3736634
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Source
CUI
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Year
2025
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5 authors
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Subtopics
Conversational Chatbots, Knowledge Worker Tools & Workflows
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University Professors & Researchers, Software Engineers & Developers
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Abstract only
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