PITCH: Designing Agentic Conversational Support for Planning and Self-reflection
Year: 2025
Type: conference-paper
Abstract: 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. Atwo-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.
Authors: Adnan Abbas, Caleb Wohn, Donghan Hu, Eugenia H Rho, Sang Won Lee
Institution: Virginia Tech
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412055658