habitlab-conservation-analysis-chi2019

About

Data analysis code for CHI 2019 paper: "Conservation of Procrastination: Do Productivity Interventions Save Time or Just Redistribute It?"

Paper: CHI 2019

ACM DL

Website

Code for system

Code for data analysis

Abstract

Productivity behavior change systems help us reduce our time on unproductive activities. However, is that time actually saved, or is it just redirected to other unproductive activities? We report an experiment using HabitLab, a behavior change browser extension and phone application, that manipulated the frequency of interventions on a focal goal and measured the effects on time spent on other applications and platforms. We find that, when intervention frequency increases on the focal goal, time spent on other applications is held constant or even reduced. Likewise, we find that time is not redistributed across platforms from browser to mobile phone or vice versa. These results suggest that any conservation of procrastination effect is minimal, and that behavior change designers may target individual productivity goals without causing substantial negative second-order effects.

Using

Use Jupyter to open the notebooks.

Authors

Geza Kovacs

Andrew Mylander Gregory

Zilin Ma

License

MIT

Name		Name	Last commit message	Last commit date
Latest commit History 76 Commits
Across Devices		Across Devices
Important Results		Important Results
Within Android		Within Android
Within Browser		Within Browser
.DS_Store		.DS_Store
.gitignore		.gitignore
2018-08-31-browser_intensity_on_time.csv		2018-08-31-browser_intensity_on_time.csv
2018-09-05-browser_goal_freq_df.csv		2018-09-05-browser_goal_freq_df.csv
2018-09-06-browser_goal_freq_df.csv		2018-09-06-browser_goal_freq_df.csv
2018-09-06-browser_intensity_on_time.csv		2018-09-06-browser_intensity_on_time.csv
2018-09-10-browser_goal_freq_df.csv		2018-09-10-browser_goal_freq_df.csv
2018-09-10-browser_intensity_on_time.csv		2018-09-10-browser_intensity_on_time.csv
2018-09-13-browser_goal_freq_df.csv		2018-09-13-browser_goal_freq_df.csv
2018-09-13-goal_freq_df.csv		2018-09-13-goal_freq_df.csv
2018-09-14-cross_device_intervention_effects		2018-09-14-cross_device_intervention_effects
2018-09-21-within_android_df.csv		2018-09-21-within_android_df.csv
Android App Error Logs.ipynb		Android App Error Logs.ipynb
Android App Frequent vs. Infrequent Comparisons.ipynb		Android App Frequent vs. Infrequent Comparisons.ipynb
Android Procastination Conservation.ipynb		Android Procastination Conservation.ipynb
App General Stats.ipynb		App General Stats.ipynb
Cross Device Categories.ipynb		Cross Device Categories.ipynb
Cross Device Intervention Effects.ipynb		Cross Device Intervention Effects.ipynb
Cross-Device Comparisons.ipynb		Cross-Device Comparisons.ipynb
Effect of Frequency on Total Time OLD DEF OF INTENSITTY.ipynb		Effect of Frequency on Total Time OLD DEF OF INTENSITTY.ipynb
LinUCB.ipynb		LinUCB.ipynb
OTHER DEVICE FREQ STUFF HI GEZA Cross-Device Comparisons.ipynb		OTHER DEVICE FREQ STUFF HI GEZA Cross-Device Comparisons.ipynb
Sankey Flow.ipynb		Sankey Flow.ipynb
Session Distribution Analysis-R.ipynb		Session Distribution Analysis-R.ipynb
Session Distribution Analysis.ipynb		Session Distribution Analysis.ipynb
Terms Stats.ipynb		Terms Stats.ipynb
Test get_name function.ipynb		Test get_name function.ipynb
Within Device Android Reduction.ipynb		Within Device Android Reduction.ipynb
browser_intensity_on_time.csv		browser_intensity_on_time.csv
browser_libs.ipynb		browser_libs.ipynb
browser_libs.py		browser_libs.py
browser_libs_stable.py		browser_libs_stable.py
calculateBaselinePerSession.py		calculateBaselinePerSession.py
classification_intervention_suggestion.py		classification_intervention_suggestion.py
cross_device_android_df.csv		cross_device_android_df.csv
dataUtil.py		dataUtil.py
data_visulization_util.py		data_visulization_util.py
domain_to_category.json		domain_to_category.json
domain_to_productivity.json		domain_to_productivity.json
effect_freq_time_spent.csv		effect_freq_time_spent.csv
effect_freq_time_spent_2018_09_06.csv		effect_freq_time_spent_2018_09_06.csv
effect_freq_time_spent_2018_09_10.csv		effect_freq_time_spent_2018_09_10.csv
efficiencyFunction.py		efficiencyFunction.py
experiment_vs_uninstall.ipynb		experiment_vs_uninstall.ipynb
experiment_vs_uninstall.py		experiment_vs_uninstall.py
findAverageVisitsAfterInstall.py		findAverageVisitsAfterInstall.py
flow_of_time.png		flow_of_time.png
flow_of_time_not_nudged.png		flow_of_time_not_nudged.png
getsecret.py		getsecret.py
goal_freq_df.csv		goal_freq_df.csv
goal_intervention_info.json		goal_intervention_info.json
historyEstimate.py		historyEstimate.py
howOftenChangingGoals.py		howOftenChangingGoals.py
inter-device-day-data		inter-device-day-data
inter-device-day-data-2018-08-21.csv		inter-device-day-data-2018-08-21.csv
internventionSuggestion.py		internventionSuggestion.py
interventionSuggestionClassifier.py		interventionSuggestionClassifier.py
intervention_frequency_lmm.ipynb		intervention_frequency_lmm.ipynb
lifelineExample.py		lifelineExample.py
long_term_effect_conservation.py		long_term_effect_conservation.py
lz2string.py		lz2string.py
mobile_intervention_info_list.json		mobile_intervention_info_list.json
readme.md		readme.md
slackingConservation.py		slackingConservation.py
testIfGoalEffective.py		testIfGoalEffective.py
timeCurve.py		timeCurve.py
time_utils.py		time_utils.py
vistisComparison.py		vistisComparison.py
within browser analysis.ipynb		within browser analysis.ipynb

gkovacs/habitlab-conservation-analysis-chi2019

Folders and files

Latest commit

History