Conversational artificial intelligence (AI), particularly AI-based conversational agents (CAs),
is gaining traction in mental health care. Despite their growing usage, there is a scarcity of …

Background Chatbots have become ubiquitous in our daily lives, enabling natural language
conversations with users through various modes of communication. Chatbots have the …

Large language models (LLMs) provide a new way to build chatbots by accepting natural
language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on …

Objective Prevention of eating disorders (EDs) is of high importance. However, digital
programs with human moderation are unlikely to be disseminated widely. The aim of this …

Purpose–This study applied the theory of planned behaviour (TPB) model and the unified
theory of acceptance and use of technology (UTAUT) model to predict intentions to use …

Advancements in conversational artificial intelligence (AI) have created unparalleled
opportunities to promote the independence and well-being of older adults, including people …

Background In dealing with familial cancer risk, seeking web-based health information can
be a coping strategy for different stakeholder groups (ie, patients, relatives, and those …

Background The rising prevalence of noncommunicable diseases (NCDs) worldwide and
the high recent mortality rates (74.4%) associated with them, especially in low-and middle …

Objective Based on the heuristic–systematic model (HSM) and health belief model (HBM),
this study aims to investigate how personalization and source expertise in responses from a …

Smart speakers have become exceedingly popular and entered many people's homes due
to their ability to engage users with natural conversations. Researchers have also looked …