From 07f80dfa04d80df7998607040e6e1f1452c83a5c Mon Sep 17 00:00:00 2001 From: Tobias Gerstenberg Date: Tue, 30 Apr 2024 09:02:05 -0700 Subject: [PATCH] . --- README.md | 41 +++++++++++++---------------------------- 1 file changed, 13 insertions(+), 28 deletions(-) diff --git a/README.md b/README.md index 36b8928..68c4a32 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # Explanations Communicate Optimal Interventions -This repository contains the experiment, data, analyses and figured for the CogSci 2024 paper "Do as I explain" Explanations communiate optimal interventions" by Lara Kirfel, Jacqueline Harding, Jeong Shin, Cindy Wu, Thomas Icard and Tobias Gerstenberg. +This repository contains the experiment, data, analyses and figured for the CogSci 2024 paper "Do as I explain" Explanations communicate optimal interventions" by Lara Kirfel, Jacqueline Harding, Jeong Shin, Cindy Wu, Thomas Icard and Tobias Gerstenberg. ## Abstract @@ -9,8 +9,9 @@ People often select only a few events when explaining what happened. What drives ## Pre-registrations -- the pre-registrations for all experiments may be accessed via the Open Science Framework [here](https://osf.io/fpyst/) -- separate links for each experiment: +The pre-registrations for all experiments may be accessed via the Open Science Framework [here](https://osf.io/fpyst/). + +Here are separate links for each experiment: - [Condition "Hard Intervention / Negative Outcome"](https://osf.io/8k9sy) - [Condition "Hard Intervention / Positive Outcome"](https://osf.io/7qzu9) - [Condition "Soft Intervention / Negative Outcome"](https://osf.io/aw286) @@ -41,31 +42,15 @@ People often select only a few events when explaining what happened. What drives This folder contains two types of R scripts. - The model predictions can be seen [here](https://cicl-stanford.github.io/explanation_intervention/analyses/model/index.html) - - The analyses and plots can be seen [here](https://cicl-stanford.github.io/explanation_intervention/analyses/experiments/index.html) - +- R/optimal_intervention_model: + - R/optimal_intervention.rmd creates the model predictions for the intervention model, the truth model and a combined model. + - explanation_predictions_truth_only.csv, for example, contains the predictions for a "Truth Only" model. +- R/experiments: This folder contains all raw data from all experimental conditions. + - [...]study_X-responses.csv contains the response data (i.e., intervention and explanation selection). + - [...]study_X-participants.csv contains demographic information and post-experiment feedback/comments from participants. + - Experiment.rmd reads in the response data from each experimental condition (e.g., fixed intervention / negative), calculates average responses and outputs these in a new data file (e.g., fixedint_negative.csv). ### docs @@ -95,11 +80,11 @@ For example, fixedint_negative.csv contains the average percentage ### figures -contains all the figures from the paper (generated using the script in code/R/experiments). +Contains all the figures from the paper (generated using the script in code/R/experiments). ### writeup -contains a pdf of the CogSci 2024 paper. +Contains a pdf of the CogSci 2024 paper. ## CRediT