Designing and optimizing incentives in peer feedback
Abstract
The goal of the proposed research is to develop systematic methods and incentives for people to give feedback that are based in psychological theory and amplified by computational methods. Further, we will build systems that implement these methods, and evaluate their effectiveness and limitations. The core hypothesis behind this proposal is that because of variation among situations of use, people, and communities, it is likely that different motivational strategies would be best for different situations. At the Theory Example implementation Theoretical basis B–3 same time, it is not possible to determine ahead of time what motivational strategy works best. This proposal will instead create methods to experimentally determine the best motivational strategies for each individual and community. To do so, we will use well-established psychological theories (such as those in Table 1), and personalize them using a reinforcement learning approach for each individual1.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 08, 2020
- Source ID
- N000142012489
Entities
People
- Chinmay Kulkarni
Organizations
- Massachusetts Institute of Technology
- Office of Naval Research
- United States Navy