Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults' Career Exploration

要旨

Young adults often encounter challenges in career exploration. Self-guided interventions, such as the letter-exchange exercise, where participants envision and adopt the perspective of their future selves by exchanging letters with their envisioned future selves, can support career development. However, the broader adoption of such interventions may be limited without structured guidance. To address this, we integrated Large Language Model (LLM)-based agents that simulate participants’ future selves into the letter-exchange exercise and evaluated their effectiveness. A one-week experiment (N=36) compared three conditions: (1) participants manually writing replies to themselves from the perspective of their future selves (baseline), (2) future-self agents generating letters to participants, and (3) future-self agents engaging in chat conversations with participants. Results indicated that exchanging letters with future-self agents enhanced participants' engagement during the exercise, while overall benefits of the intervention on future orientation, career self-concept, and psychological support remained comparable across conditions. We discuss design implications for AI-augmented interventions for supporting young adults' career exploration.

受賞
Best Paper
著者
Hayeon Jeon
Seoul National University, Seoul, Korea, Republic of
Suhwoo Yoon
Seoul National University, Seoul, Korea, Republic of
Keyeun Lee
University, Seoul, Korea, Republic of
Seo Hyeong Kim
Seoul National University, Seoul, Korea, Republic of
Esther Hehsun Kim
Seoul National University, Seoul, Korea, Republic of
Seonghye Cho
Seoul National University, Seoul, Korea, Republic of
Yena Ko
Seoul National University, Seoul, Korea, Republic of
Soeun Yang
Seoul National University, Seoul, Korea, Republic of
Laura Dabbish
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
John Zimmerman
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Eun-mee Kim
Seoul National University, Seoul, Korea, Republic of
Hajin Lim
Seoul National University , Seoul, Korea, Republic of
DOI

10.1145/3706598.3714206

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714206

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Better Work and Career

G414+G415
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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