Testing behaviour change with an artificial intelligence chatbot in a randomized controlled study

被引:3
作者
van Baal, Simon T. [1 ,2 ]
Le, Suong T. T. [3 ]
Fatehi, Farhad [4 ]
Verdejo-Garcia, Antonio [4 ]
Hohwy, Jakob [1 ,5 ]
机构
[1] Monash Univ, Monash Ctr Consciousness & Contemplat Studies, Melbourne, Vic, Australia
[2] Univ Warwick, Dept Psychol, Coventry, England
[3] Monash Univ, Fac Med Nursing & Hlth Sci, Melbourne, Vic, Australia
[4] Monash Univ, Turner Inst Brain & Mental Hlth, Sch Psychol Sci, Melbourne, Vic, Australia
[5] Monash Univ, Clayton, Vic 3800, Australia
关键词
Chatbot; Human-computer interaction; Artificial intelligence; Behaviour change; Digital health; RISK COMMUNICATION;
D O I
10.1057/s41271-024-00500-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Chatbots can effect large-scale behaviour change because they are accessible through social media, flexible, scalable, and gather data automatically. Yet research on the feasibility and effectiveness of chatbot-administered behaviour change interventions is sparse. The effectiveness of established behaviour change interventions when implemented in chatbots is not guaranteed, given the unique human-machine interaction dynamics. We pilot-tested chatbot-based behaviour change through information provision and embedded animations. We evaluated whether the chatbot could increase understanding and intentions to adopt protective behaviours during the pandemic. Fifty-nine culturally and linguistically diverse participants received a compassion intervention, an exponential growth intervention, or no intervention. We measured participants' COVID-19 testing intentions and measured their staying-home attitudes before and after their chatbot interaction. We found reduced uncertainty about protective behaviours. The exponential growth intervention increased participants' testing intentions. This study provides preliminary evidence that chatbots can spark behaviour change, with applications in diverse and underrepresented groups. Chatbots can be equipped with animations to deliver standardised information and behaviour change interventions.We found preliminary evidence that using chatbots for behaviour change may be effective when users seek information independently.
引用
收藏
页码:506 / 522
页数:17
相关论文
共 45 条
[1]   Challenges of migration and culture in a public health communication context [J].
Ahmed, Rukhsana .
JOURNAL OF PUBLIC HEALTH RESEARCH, 2018, 7 (02) :92-94
[2]  
Ayre J., 2021, MEDRXIV, V4, P477, DOI [10.1101/2021.07.29.21261321, DOI 10.1101/2021.07.29.21261321]
[3]   Exponential-growth prediction bias and compliance with safety measures related to COVID-19 [J].
Banerjee, Ritwik ;
Bhattacharya, Joydeep ;
Majumdar, Priyama .
SOCIAL SCIENCE & MEDICINE, 2021, 268
[4]   AI Chatbot Design during an Epidemic like the Novel Coronavirus [J].
Battineni, Gopi ;
Chintalapudi, Nalini ;
Amenta, Francesco .
HEALTHCARE, 2020, 8 (02)
[5]   Why People Use Chatbots [J].
Brandtzaeg, Petter Bae ;
Folstad, Asbjorn .
INTERNET SCIENCE, 2017, 10673 :377-392
[6]  
Cahn J., 2017, CHATBOT: Architecture, Design, & Development
[7]  
Christensen R HB., 2018, Submitt J Stat Softw
[8]   What must be done to tackle vaccine hesitancy and barriers to COVID-19 vaccination in migrants? [J].
Crawshaw, Alison F. ;
Deal, Anna ;
Rustage, Kieran ;
Forster, Alice S. ;
Campos-Matos, Ines ;
Vandrevala, Tushna ;
Wurz, Andrea ;
Pharris, Anastasia ;
Suk, Jonathan E. ;
Kinsman, John ;
Deogan, Charlotte ;
Miller, Anna ;
Declich, Silvia ;
Greenaway, Chris ;
Noori, Teymur ;
Hargreaves, Sally .
JOURNAL OF TRAVEL MEDICINE, 2021, 28 (04)
[9]   A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective [J].
Gentner, Tobias ;
Neitzel, Timon ;
Schulze, Jacob ;
Buettner, Ricardo .
2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020), 2020, :735-740
[10]   Accuracy and Reliability of Chatbot Responses to Physician Questions [J].
Goodman, Rachel S. ;
Patrinely, J. Randall ;
Stone, Cosby A. ;
Zimmerman, Eli ;
Donald, Rebecca R. ;
Chang, Sam S. ;
Berkowitz, Sean T. ;
Finn, Avni P. ;
Jahangir, Eiman ;
Scoville, Elizabeth A. ;
Reese, Tyler S. ;
Friedman, Debra L. ;
Bastarache, Julie A. ;
van der Heijden, Yuri F. ;
Wright, Jordan J. ;
Ye, Fei ;
Carter, Nicholas ;
Alexander, Matthew R. ;
Choe, Jennifer H. ;
Chastain, Cody A. ;
Zic, John A. ;
Horst, Sara N. ;
Turker, Isik ;
Agarwal, Rajiv ;
Osmundson, Evan ;
Idrees, Kamran ;
Kiernan, Colleen M. ;
Padmanabhan, Chandrasekhar ;
Bailey, Christina E. ;
Schlegel, Cameron E. ;
Chambless, Lola B. ;
Gibson, Michael K. ;
Osterman, Travis J. ;
Wheless, Lee E. ;
Johnson, Douglas B. .
JAMA NETWORK OPEN, 2023, 6 (10)