Abstract
On-demand emotional support is an expensive and elu- sive societal need that is exacerbated in difficult times – as witnessed during the COVID-19 pandemic. Prior work in affective crowdsourcing has examined ways to overcome technical challenges for providing on-demand emotional support to end users. This can be achieved by training crowd workers to provide thought- ful and engaging on-demand emotional support. Inspired by recent advances in conversational user interface research, we investigate the efficacy of a conversational user interface for training workers to deliver psychological support to users in need. To this end, we conducted a between-subjects experimental study on Prolific, wherein a group of workers (N=200) received training on motivational interviewing via either a conversational interface or a conventional web interface. Our results indicate that training workers in a conversational interface yields both better worker performance and improves their user experience in on-demand stress management tasks.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing |
| Editors | Lora Aroyo, Elena Simperl |
| Pages | 3-12 |
| ISBN (Electronic) | 978-1-57735-848-0 |
| Publication status | Published - 2020 |
| Event | 8th AAAI Conference on Human Computation and Crowdsourcing - Virtual/online event due to COVID-19 Duration: 25 Oct 2020 → 29 Oct 2020 Conference number: 8 |
Conference
| Conference | 8th AAAI Conference on Human Computation and Crowdsourcing |
|---|---|
| Abbreviated title | HCOMP 2020 |
| Period | 25/10/20 → 29/10/20 |