Corpus Design for Studying Linguistic Nudges in Human-Computer Spoken Interactions

Natalia Kalashnikova, Serge Pajak, Fabrice Le Guel, Ioana Vasilescu, Gemma Serrano, Laurence Devillers


Abstract
In this paper, we present the methodology of corpus design that will be used to study the comparison of influence between linguistic nudges with positive or negative influences and three conversational agents: robot, smart speaker, and human. We recruited forty-nine participants to form six groups. The conversational agents first asked the participants about their willingness to adopt five ecological habits and invest time and money in ecological problems. The participants were then asked the same questions but preceded by one linguistic nudge with positive or negative influence. The comparison of standard deviation and mean metrics of differences between these two notes (before the nudge and after) showed that participants were mainly affected by nudges with positive influence, even though several nudges with negative influence decreased the average note. In addition, participants from all groups were willing to spend more money than time on ecological problems. In general, our experiment’s early results suggest that a machine agent can influence participants to the same degree as a human agent. A better understanding of the power of influence of different conversational machines and the potential of influence of nudges of different polarities will lead to the development of ethical norms of human-computer interactions.
Anthology ID:
2022.lrec-1.434
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4079–4087
Language:
URL:
https://aclanthology.org/2022.lrec-1.434
DOI:
Bibkey:
Cite (ACL):
Natalia Kalashnikova, Serge Pajak, Fabrice Le Guel, Ioana Vasilescu, Gemma Serrano, and Laurence Devillers. 2022. Corpus Design for Studying Linguistic Nudges in Human-Computer Spoken Interactions. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4079–4087, Marseille, France. European Language Resources Association.
Cite (Informal):
Corpus Design for Studying Linguistic Nudges in Human-Computer Spoken Interactions (Kalashnikova et al., LREC 2022)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.434.pdf