@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://preview.aclanthology.org/jlcl-multiple-ingestion/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."
}