BITxBIT: Encouraging Behavior Change with N=2 Experiments

Abstract

In this work we introduce an experimental methodology and open-sourced web application designed to promote behavior change and wellbeing within a workplace environment. Colleagues are paired together and asked to design a Behavioral Intervention Technology (BIT) uniquely customized to suit their partner’s behavior change goal. We present the results of a preliminary evaluation of the experiment, and suggest ways to further improve and expand our experiment design.

Publication
In Proceedings of the CHI Conference Extended Abstracts on Human Factors
Natasha Jaques
Natasha Jaques

My research is focused on Social Reinforcement Learning–developing algorithms that use insights from social learning to improve AI agents' learning, generalization, coordination, and human-AI interaction.

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