Summary of Carrot and Stick: Inducing Self-motivation with Positive & Negative Feedback, by Jimin Sohn et al.
Carrot and Stick: Inducing Self-Motivation with Positive & Negative Feedback
by Jimin Sohn, Jeihee Cho, Junyong Lee, Songmu Heo, Ji-Eun Han, David R. Mortensen
First submitted to arxiv on: 24 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a new approach to studying self-motivation from a computational perspective. Specifically, it focuses on the role of positive thinking in driving people to reach their goals. The authors build upon previous work on sentiment transfer and positive reframing, but also explore negative feedback as a necessary component for growth. To facilitate this research, they introduce the CArrot and STICk (CASTIC) dataset, which consists of 12,590 sentences with five different strategies for enhancing self-motivation. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how positive thinking helps people achieve their goals. It’s like a computer program that looks at language and tries to make people more motivated. The researchers studied what makes people think positively and what they can do to help others be more motivated too. They made a big dataset with lots of sentences that show different ways to boost self-motivation. |