@inproceedings{kalashnikova-etal-2024-linguistic,
    title = "Linguistic Nudges and Verbal Interaction with Robots, Smart-Speakers, and Humans",
    author = "Kalashnikova, Natalia  and
      Vasilescu, Ioana  and
      Devillers, Laurence",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.923",
    pages = "10555--10564",
    abstract = "This paper describes a data collection methodology and emotion annotation of dyadic interactions between a human, a Pepper robot, a Google Home smart-speaker, or another human. The collected 16 hours of audio recordings were used to analyze the propensity to change someone{'}s opinions about ecological behavior regarding the type of conversational agent, the kind of nudges, and the speaker{'}s emotional state. We describe the statistics of data collection and annotation. We also report the first results, which showed that humans change their opinions on more questions with a human than with a device, even against mainstream ideas. We observe a correlation between a certain emotional state and the interlocutor and a human{'}s propensity to be influenced. We also reported the results of the studies that investigated the effect of human likeness on speech using our data.",
}

This paper describes a data collection methodology and emotion annotation of dyadic interactions between a human, a Pepper robot, a Google Home smart-speaker, or another human. The collected 16 hours of audio recordings were used to analyze the propensity to change someone{'}s opinions about ecological behavior regarding the type of conversational agent, the kind of nudges, and the speaker{'}s emotional state. We describe the statistics of data collection and annotation. We also report the first results, which showed that humans change their opinions on more questions with a human than with a device, even against mainstream ideas. We observe a correlation between a certain emotional state and the interlocutor and a human{'}s propensity to be influenced. We also reported the results of the studies that investigated the effect of human likeness on speech using our data.
Kalashnikova, Natalia Vasilescu, Ioana Devillers, Laurence
Linguistic Nudges and Verbal Interaction with Robots, Smart-Speakers, and Humans