"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use
Shardul Sapkota, Matthew Jörke, Zane Sabbagh, Omar Shaikh, Grace Wang + 1 more
TLDR
This paper introduces 'striving co-creation,' a system that infers users' broader life goals from computer use, allowing user feedback.
Key contributions
- Introduces 'striving co-creation' to infer broader life goals from everyday computer use, beyond just current actions.
- Grounds the system in Activity Theory and Emmons' personal strivings framework for hierarchical goal representation.
- Features an interactive editing interface, allowing users to correct and refine the system's understanding of their goals.
- Field deployment showed the system produces representative long-term goals and enhances user agency compared to baselines.
Why it matters
This paper addresses a critical gap in user modeling by moving beyond surface-level activity tracking to infer deeper life goals. By integrating user feedback, it creates a more accurate and empowering system. This approach could lead to more personalized and meaningful AI assistance.
Original Abstract
Recent advances in user modeling make it feasible to conduct open-ended inference over a person's everyday computer use. Despite longstanding visions of systems that deeply understand our actions and the purposes they serve in our lives, existing systems only capture what a person is doing in the moment -- not why they are doing it -- limiting these systems to surface-level support. We introduce striving co-creation, a process for inferring broader life goals from unstructured observations of computer use. Grounded in Activity Theory and Emmons' personal strivings framework, our system progressively constructs a hierarchical representation of a person's activities. Crucially, strivings are difficult to fully resolve from observation alone, as the same action can be driven by many different goals. Our system therefore supports an editing interface that gives people agency over how they are understood by the system, feeding their corrections back into subsequent rounds of striving induction. In a week-long field deployment (N=14), we find that our co-creation process produces strivings that are representative of participants' long-term goals and gives them greater agency than baseline methods.
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