Literature Review

 

In this literature review, I will explain how AI generates automated messages and how those automated messages convey information for crisis support. This review explores usability and how patients interact with AI and demonstrates how AI facilitates crisis communication for mental health. This review incorporates technical knowledge into AI and mental health communication using the example of chatbots conveying information to patients. I will synthesize my sources to connect topic-related ideas that support my ambition while also explaining the process of chatbot communication and human interface using my sources. 


Arendt, F., Till, B., Voracek, M., Kirchner, S., Sonneck, G., Naderer, B., Pürcher, P., & Niederkrotenthaler, T. (2023). ChatGPT, artificial intelligence, and suicide prevention: A call for a targeted and concerted research effort. Crisis: The Journal of Crisis Intervention and Suicide Prevention, 44(5), 258-261. https://doi.org/10.1027/0227-5910/a000915

Bedington, A., Halcomb, E. F., McKee, H. A., Sargent, T., & Smith, A. (2024). Writing with generative AI and human-machine teaming: Insights and recommendations from faculty and students. Computers and Composition, 71, 102785. https://doi.org/10.1016/j.compcom.2023.102785

Gamble, A. (2020). Artificial intelligence and mobile apps for mental healthcare: A social informatics perspective. Aslib Journal of Information Management, 72(6), 843-861. https://doi.org/10.1108/AJIM-04-2020-0152

Kessler, M. M., Breuch, L.-A. K., Stambler, D. M., Campeau, K. L., Riggins, O. J., Feedema, E., Doornink, S. I., & Misono, S. (2021). User experience in health & medicine: Building methods for patient experience design in multidisciplinary collaborations. Journal of Technical Writing and Communication, 51(4), 380-406. https://doi.org/10.1177/00472816211044498

Knowles, A. M. (2024). Machine-in-the-loop writing: Optimizing the rhetorical load. Computers and Composition, 71, 102826. https://doi.org/10.1016/j.compcom.2024.102826

Ma, J. S., O’Riordan, M., Mazzer, K., Batterham, P. J., Bradford, S., Kõlves, K., Titov, N., Klein, B., & Rickwood, D. J. (2022). Consumer perspectives on the use of artificial intelligence technology and automation in crisis support services: Mixed methods study. JMIR Human Factors, 9(3), e34514. https://doi.org/10.2196/34514

Reeves, C. (1994). Writing and reading mental health records (Book Review). Technical Communication Quarterly, 3(1), 103-104.

Rosinski, P., & Squire, M. (2009). Strange bedfellows: Human-computer interaction, interface design, and composition pedagogy. Computers and Composition, 26(3), 149-163. https://doi.org/10.1016/j.compcom.2009.05.002

Tian, Z., & Yi, D. (2024). Application of artificial intelligence based on sensor networks in student mental health support system and crisis prediction. Measurement: Sensors, 32, 101056. https://doi.org/10.1016/j.measen.2024.101056

Sorapure, M. (2019). Text, image, data, interaction: Understanding information visualization. Computers and Composition, 54, 102519. https://doi.org/10.1016/j.compcom.2019.102519

Comments

  1. Lea HopkinsonSeptember 9, 2024 at 12:24 PM

    Devon, I think your research topic exploring AI and mental health is really interesting and will serve you well in our TWDR program. The sources you selected should provide a good introduction to your topic and they will reveal other scholars you can explore to help narrow in on what you are seeking.

    I appreciate the arguments you made in your first blog post because I have mixed feelings about AI. Mainly, I struggle with what has been promised by AI promoters and companies who dove in with heavy investments. As with most exciting new tech, great things are imagined that will revolutionize our lives, but the reality is the tech ends up being used in the ways it is actually useful. It finds its place. Research into AI is an area where watching who is saying what will be critical to the analysis of sources and their claims. I can hear Dr. Bacabac saying my statement holds true for all research sources, which is correct, but the motivations of the sources of AI claims is especially critical I think to understanding AI capabilities.

    I'm excited to learn from your research project because it will reveal what is working and what is problematic. I'd rather know about the real benefits and limitations of AI than hold onto my general suspicion. Mental health is about so much more than peoples' preferences, it’s about peoples' lives. Combining research into AI with mental health applications is a great way to look at AI capabilities with a critical eye. Your topic is exciting, challenging, current, and the results could benefit both the sceptics and the early adaptors of AI by encouraging an accurate picture of AI capabilities and potential.

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  2. DevonSeptember 11, 2024 at 6:08 PM

    What topics and/or variables might emerge from the current bibliography? Note, if categories/headings exist, how might they help to enable or constrain the topic?

    The technical journals approved for my review are broad and will provide conceptual evidence. The interdisciplinary sources are more specific and will provide more relevant and selective information for my review. I think that the constraining aspect will come from the technical sources. I will have to synthesize information from a more generalized interpretation, which will prove more difficult. I want to have relevant, specific sources that pertain directly to the points I am trying to prove. However, the broad approach will help me develop various concepts and flesh out my ideas without narrowing my view.

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