A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study.

Matthew Louis Mauriello Nantanick Tantivasadakarn Marco Antonio Mora-Mendoza Emmanuel Thierry Lincoln Grace Hon Parsa Nowruzi Dorien Simon Luke Hansen Nathaniel H Goenawan Joshua Kim Nikhil Gowda Dan Jurafsky Pablo Enrique Paredes

Published in: JMIR formative research (2021)

Our work suggests that suites of shallow chatbots may offer benefits for both users and designers. As a result, this study's contributions include the design and evaluation of a novel suite of shallow chatbots for daily stress management, a summary of benefits and challenges associated with random delivery of multiple conversational interventions, and design guidelines and directions for future research into similar systems, including authoring chatbot systems and artificial intelligence-enabled recommendation algorithms.

Keyphrases

artificial intelligence
machine learning
physical activity
deep learning
randomized controlled trial
clinical trial
study protocol
clinical practice
current status
heat stress
neural network