Artificial Intelligence
6 Ways to Improve Psychological AI Apps and Chatbots
Repetitiveness, complicated setups, and lack of personalization deter users.
Posted January 16, 2024 Reviewed by Abigail Fagan
Key points
- Personalized feedback, dynamic conversations, and a streamlined set up improve user engagement with AI apps.
- People dislike overly scripted and repetitive AI chatbots that bottleneck access to other features.
- Tracking is a feature that engages users and develops an "observer mind," enhancing awareness and change.
![Andrea Piacquadio / Pexels Andrea Piacquadio / Pexels](https://cdn2.psychologytoday.com/assets/styles/article_inline_half_caption/public/field_blog_entry_images/2024-01/pexels-andrea-piacquadio-3769109.jpg?itok=8ECR7mdk)
A new study of an AI chatbot and smartphone app to reduce drinking shows that users do not like repetitiveness, lack of individualized guidance, and complicated or glitchy setups.
Apps and chatbots can deliver effective interventions to improve sleep, decrease alcohol use, and reduce anxiety and depression, but the challenge is keeping users on the app. Sustained user engagement is a key factor to the success of psychological apps and chatbots. The number of app installs can be high, but only a small percentage of users use mental health apps consistently over time. One study found that after one week, only 5% to 19% of users continued to use mental health apps. Even when content is helpful, dropout rates are high.
Features that increase engagement are appealing visual design, easy navigation, goal setting, reminders, and feedback. New content and a friendly tone keep users coming back.
Researchers found that the top reasons users stopped engaging were due to technology glitches, notification issues, repetitive material, and a long or glitchy setup. With the AI chatbot, users were frustrated by repetitive conversation, lack of control over navigation, and delivery platform.
![Image is AI-generated by author Image is AI-generated by author](https://cdn2.psychologytoday.com/assets/styles/article_inline_half_caption/public/field_blog_entry_images/2024-01/11978ba6-6b58-4842-9aa1-8080e2aa197c_512x512.jpg?itok=o9sSNDyM)
Here are six features to enhance user engagement of psychological AI apps and chatbots:
1. Make setup easy. Complicated and glitchy setup deters users. One participant in the study described how their data disappeared after reregistration was required. Informed consent is ethically necessary for apps and chatbots dealing with mental health personal data, but a streamlined setup is equally important.
2. Offer tracking. Tracking is an important way to get people to interact with the app or chatbot regularly. More importantly, tracking raises awareness and can change behavior. Mindfulness calls this developing an "observer mind," a powerful stress management skill and catalyst for change. For example, tracking the number of alcoholic drinks one has daily helps people realize automatic habits.
3. Provide personalized feedback and accurate insights. Individualized guidance based on one's data helps people get feedback or insight into their patterns. Tracking data around anxiety levels and timing can help predict anxiety episodes and narrow down potential triggers. Accuracy is critical. One participant described that the app said that they had met their daily goal, when they had not. This lack of accuracy reduces user confidence in the app.
4. Make interactions less repetitive. Overly scripted and repetitive bots are not welcome. Like therapy, the therapeutic alliance between the user and conversational agent determines whether people return. Novelty and a positive tone make the interaction therapeutic.
5. Ensure notifications are customizable, accurate, and timely. Faulty or absent notifications can deter users. If the app centers around changing daily habits, the timing of daily reminders is essential.
6. Prioritize user agency, and avoid bottlenecking navigation with an unwelcome bot. Users should be able to navigate to resources on their own, rather than be forced to interact with a bot. Users described being frustrated with having to go through a bot to get to basic features. One participant in the study described how it felt "strange" to have the bot constantly bothering them when they were working on a task. This is similar to Microsoft's Clippy, which caused a lot of user frustration.
These design considerations will make psychological AI apps and chatbots more effective. Developers should consider offering personalized feedback, high-quality dynamic conversations, and a smooth glitch-free set up that will keep users coming back.
Marlynn Wei, MD, PLLC Copyright © 2024. All Rights Reserved.
References
Amagai S., Pila S., Kaat A.J., Nowinski C.J., Gershon R.C. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. J. Med. Internet Res. 2022;24:e35120. doi: 10.2196/35120.
Baumel A., Kane J.M. Examining predictors of real-world user engagement with self-guided eHealth interventions: Analysis of mobile apps and websites using a novel dataset. JMIR. 2018;20:e11491. doi: 10.2196/11491.
Milne-Ives M., Lam C., De Cock C., Van Velthoven M.H., Meinert E. Mobile apps for health behavior change in physical activity, diet, drug and alcohol use, and mental health: Systematic review. JMIR mHealth uHealth. 2020;8:e17046. doi: 10.2196/17046.
Sedotto RNM, Edwards AE, Dulin PL, King DK. Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce Drinking. Healthcare (Basel). 2024 Jan 2;12(1):101. doi: 10.3390/healthcare12010101. PMID: 38201007; PMCID: PMC10778607.