Ontology highlight
ABSTRACT: Background
Mental disorders in adolescence and young adulthood are major public health concerns. Digital tools such as text-based conversational agents (ie, chatbots) are a promising technology for facilitating mental health assessment. However, the human-like interaction style of chatbots may induce potential biases, such as socially desirable responding (SDR), and may require further effort to complete assessments.Objective
This study aimed to investigate the convergent and discriminant validity of chatbots for mental health assessments, the effect of assessment mode on SDR, and the effort required by participants for assessments using chatbots compared with established modes.Methods
In a counterbalanced within-subject design, we assessed 2 different constructs-ps
SUBMITTER: Schick A
PROVIDER: S-EPMC9664331 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature