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.
|Title of host publication||Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing|
|Editors||Lora Aroyo, Elena Simperl|
|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||8th AAAI Conference on Human Computation and Crowdsourcing|
|Abbreviated title||HCOMP 2020|
|Period||25/10/20 → 29/10/20|
Bibliographical noteGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
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