ContextBot: Improving Response Consistency in Crowd-Powered Conversational Systems for Affective Support Tasks
A controlled 3×3 study of 351 crowd workers evaluates ContextBot, which provides conversational context and motivational-interviewing guidance for affective-support tasks.
doi
10.1145/3603163.3609031
isbn
979-8-4007-0232-7
name
ContextBot: Improving Response Consistency in Crowd-Powered Conversational Systems for Affective Support Tasks
source
pdf
acm_url
https://dl.acm.org/doi/10.1145/3603163.3609031
authors
Yao Ma, Tahir Abbas, Ujwal Gadiraju
doi_url
https://doi.org/10.1145/3603163.3609031
license
© Copyright held by the owner/author(s).
summary
A controlled 3×3 study of 351 crowd workers evaluates ContextBot, which provides conversational context and motivational-interviewing guidance for affective-support tasks.
published
2023-09-04
conference
HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
open_access
true
acm_html_url
https://dl.acm.org/doi/full/10.1145/3603163.3609031
displayAuthor
Yao Ma, Tahir Abbas, and Ujwal Gadiraju (Delft University of Technology, Delft, The Netherlands)
displayPublishTime
2023-09-04