Data and analysis for the publication: Content-Based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation Study
What's in it
This dataset contains all data and analysis scripts to the research conducted for the JMIR paper: "Content-based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation Study" Background : The working environment of a suicide prevention helpline requires high emotional and cognitive awareness from chat counselors. A shared opinion among counselors is that as a chat conversation becomes more difficult, it takes more effort and a longer amount of time to compose a response, which, in turn, can lead to writer’s block. Objective : This study evaluates and then designs supportive technology to determine if a support system that provides inspiration can help counselors resolve writer’s block when they encounter difficult situations in chats with help-seekers. Methods : A content-based recommender system with sentence embedding was used to search a chat corpus for similar chat situations. The system showed a counselor the most similar parts of former chat conversations so that the counselor would be able to use approaches previously taken by their colleagues as inspiration. In a within-subject experiment, counselors’ chat replies when …
Files and services
- DataCite REST API (JSON)api.datacite.orgOpen