-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Updated README to reflect new abstract
- Loading branch information
Showing
1 changed file
with
2 additions
and
2 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,9 +1,9 @@ | ||
## Harry's Habits: A Chatbot Investigating the Impact of Positive Reinforcement Rewards on Habit Formation. | ||
|
||
Written at the University of Bristol for my MSc Advanced Computer Science [thesis](thesis/main.pdf). I built a [chatbot](https://github.com/harrymt/harryshabits) that helps people form new positive habits by deliving different types of positive reinforcement rewards. | ||
Written at the University of Bristol for my MSc Advanced Computer Science [thesis](thesis.pdf). I built a [chatbot](https://github.com/harrymt/harryshabits) that helps people form new positive habits by deliving different types of positive reinforcement rewards. | ||
|
||
## Overview | ||
|
||
[Poster](poster.pdf) for a visual overview instead. | ||
|
||
Habit formation systems use rewards to motivate people to form habits. This thesis looks at the effect of three types of positive reinforcement rewards on habit formation. The rewards are delivered by a chatbot from three modes: visual, auditory and visual-auditory combined. The findings are evaluated against two hypotheses: i) positive reinforcement is effective at supporting habit formation by increasing automaticity and regular habit performance, ii) multiple modalities rewards are more effective then singular mode rewards. 60 people were recruited to participate in a 4-week study followed by voluntary semi-structured interviews. The findings showed that participants receiving the bot-delivered rewards had higher habit performance than the control group without rewards. Participants with visual-auditory rewards had the highest habit automaticity score, however, these were not statistically significant. Finally, all participants interviewed (N = 7) reported a drop in habit performance after one week without the prototype. Further research for using different rewards with behaviour change technology is needed to validate how each modality affected habit automaticity and habit performance. | ||
Habit formation technologies use rewards and points as means for providing positive reinforcement, often in the format of visual or audio rewards such as jingles, badges or animations. Providing the right reward increases the chances for developing a new habit; yet, research on how these rewards should be delivered and the impact that this has on the process of habit formation is scarce. In this thesis we investigate how three types of positive reinforcement (visual, auditory, visual-auditory) influence habit performance and automaticity. Sixty people participated in a 4-week study where a custom built chatbot was used to deliver different types of positive reinforcement rewards for completing a new daily habit. The results reported higher habit performance rates when a reward was present without necessarily increasing behaviour automaticity. This has implications for the design of habit formation technologies that rely on visual and auditory rewards as means of positive reinforcement. |