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Children and adults display crisp technology- and human-directed style – Notice Global Internet

  • Hoy, M. B. Alexa, Siri, Cortana, and More: An launching to vocalise assistants. Med. Ref. Serv. Q. 37, 81–88 (2018).

    PubMed 

    Google Scholar
     

  • Olmstead, K. Nearly half of Americans ingest digital vocalise assistants, mostly on their smartphones. Pew Res. Cent. (2017).

  • Plummer, D. C. et al. ’Top Strategic Predictions for 2017 and Beyond: Surviving the Storm Winds of Digital Disruption’ Gartner Report G00315910 (Gartner. Inc, 2016).


    Google Scholar
     

  • Fernald, A. Meaningful melodies in mothers’ style to infants. in Nonverbal Vocal Communication: Comparative and Developmental Approaches, 262–282 (Cambridge University Press, 1992).

  • Grieser, D. L. & Kuhl, P. K. Maternal style to infants in a diatonic language: Support for coupler prosodic features in motherese. Dev. Psychol. 24, 14 (1988).


    Google Scholar
     

  • Hilton, C. B. et al. Acoustic regularities in infant-directed style and strain crossways cultures. Nat. Hum. Behav. https://doi.org/10.1038/s41562-022-01410-x (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Cox, C. et al. A systematised analyse and theorem meta-analysis of the curative features of infant-directed speech. Nat. Hum. Behav. 7, 114–133 (2023).

    PubMed 

    Google Scholar
     

  • Uther, M., Knoll, M. A. & Burnham, D. Do you intercommunicate E-NG-LI-SH? A comparability of foreigner-and infant-directed speech. Speech Commun. 49, 2–7 (2007).


    Google Scholar
     

  • Scarborough, R., Dmitrieva, O., Hall-Lew, L., Zhao, Y. & Brenier, J. An curative conceive of actual and imagined foreigner-directed speech. in Proceedings of the International legislature of Phonetic Sciences, 2165–2168 (2007).

  • Burnham, D. K., Joeffry, S. & Rice, L. Computer-and human-directed style before and after correction. in Proceedings of the 13th archipelago International Conference on Speech Science and Technology, 13–17 (2010).

  • Oviatt, S., MacEachern, M. & Levow, G.-A. Predicting hyperarticulate style during human–computer nonachievement resolution. Speech Commun. 24, 87–110 (1998).


    Google Scholar
     

  • Clark, H. H. & Murphy, G. L. Audience organisation in message and reference. In Advances in Psychology Vol. 9 (eds LeNy, J.-F. & Kintsch, W.) 287–299 (Elsevier, 1982).


    Google Scholar
     

  • Hwang, J., Brennan, S. E. & Huffman, M. K. Phonetic adjustment in non-native uttered dialogue: Effects of priming and word design. J. Mem. Lang. 81, 72–90 (2015).


    Google Scholar
     

  • Tippenhauer, N., Fourakis, E. R., Watson, D. G. & Lew-Williams, C. The orbit of word organisation in child-directed speech: Parents’ tailoring of articulate lengths for grown versus female listeners. J. Exp. Psychol. Learn. Mem. Cogn. 46, 2123 (2020).


    Google Scholar
     

  • Cohn, M., Ferenc Segedin, B. & Zellou, G. Acoustic-phonetic properties of Siri- and human-directed speech. J. Phon. 90, 101123 (2022).


    Google Scholar
     

  • Cohn, M., Liang, K.-H., Sarian, M., Zellou, G. & Yu, Z. Speech evaluate adjustments in conversations with an Amazon Alexa Socialbot. Front. Commun. 6, 1–8 (2021).


    Google Scholar
     

  • Cohn, M. & Zellou, G. Prosodic differences in human- and Alexa-directed speech, but kindred topical intelligibility adjustments. Front. Commun. 6, 1–13 (2021).


    Google Scholar
     

  • Cohn, M., Mengesha, Z., Lahav, M. & Heldreth, C. individualist dweller arts speakers’ movement alteration and evaluate adjustments for imagined subject and manlike addressees. JASA Express Lett. 4, 1–4 (2024).


    Google Scholar
     

  • Raveh, E., Steiner, I., Siegert, I., Gessinger, I. & Möbius, B. Comparing phonetic changes in computer-directed and human-directed speech. in Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2019, 42–49 (TUDpress, 2019).

  • Siegert, I. & Krüger, J. “Speech line and style noesis didn’t sound together”—differences in style activity for figure directed and manlike directed interactions. in Advances in Data Science: Methodologies and Applications, vol. 189, 65–95 (Springer, 2021).

  • Ibrahim, O. & Skantze, G. Revisiting mechanism directed style personalty in unprompted human–human–robot interactions. in Human Perspectives on Spoken Human–Machine Interaction (2021).

  • Cowan, B. R., Branigan, H. P., Obregón, M., Bugis, E. & Beale, R. Voice anthropomorphism, schmoozer sculpture and encounter personalty on grammar choices in human−computer dialogue. Int. J. Hum.-Comput. Stud. 83, 27–42 (2015).


    Google Scholar
     

  • Kalashnikova, N., Hutin, M., Vasilescu, I. & Devillers, L. Do we intercommunicate to robots hunting same humans as we intercommunicate to humans? A conceive of movement in french human–machine and human–human interactions. in Companion Publication of the 25th International Conference on Multimodal Interaction, 141–145 (2023).

  • Lu, Y. & Cooke, M. The effort of changes in F0 and spectral lean to accumulated intelligibility of style produced in noise. Speech Commun. 51, 1253–1262 (2009).


    Google Scholar
     

  • Brumm, H. & Zollinger, S. A. The phylogenesis of the dweller effect: 100 eld of psychoacoustic research. Behaviour 148, 1173–1198 (2011).


    Google Scholar
     

  • Nass, C., Steuer, J. & Tauber, E. R. Computers are ethnic actors. in Proceedings of the SIGCHI Conference on Human factors in Computing Systems, 72–78 (ACM, 1994). https://doi.org/10.1145/259963.260288.

  • Nass, C., Moon, Y., Morkes, J., Kim, E.-Y. & Fogg, B. J. Computers are ethnic actors: A analyse of underway research. Hum. Values Des. Comput. Technol. 72, 137–162 (1997).


    Google Scholar
     

  • Lee, K. M. Media leveling theory. in The International Encyclopedia of Communication, vol. 1, 1–4 (Wiley, 2008).

  • Epley, N., Waytz, A. & Cacioppo, J. T. On sight human: A three-factor theory of anthropomorphism. Psychol. Rev. 114, 864–886 (2007).

    PubMed 

    Google Scholar
     

  • Waytz, A., Cacioppo, J. & Epley, N. Who sees human?: The Stability and grandness of individualist differences in anthropomorphism. Perspect. Psychol. Sci. 5, 219–232 (2010).

    PubMed 

    Google Scholar
     

  • Urquiza-Haas, E. G. & Kotrschal, K. The nous behindhand manlike thinking: Attribution of noetic states to another species. Anim. Behav. 109, 167–176 (2015).


    Google Scholar
     

  • Ernst, C.-P. & Herm-Stapelberg, N. Gender Stereotyping’s Influence on the Perceived Competence of Siri and Co. in Proceedings of the 53rd island International Conference on System Sciences, 4448–44453 (2020).

  • Cohn, M., Ferenc Segedin, B. & Zellou, G. Imitating Siri: Socially-mediated encounter to figure and manlike voices. in Proceedings of International legislature of Phonetic Sciences, 1813–1817 (2019).

  • Cohn, M., Predeck, K., Sarian, M. & Zellou, G. Prosodic encounter toward emotionally expressive speech: Comparing manlike and Alexa help talkers. Speech Commun. 135, 66–75 (2021).


    Google Scholar
     

  • Cohn, M., Sarian, M., Predeck, K. & Zellou, G. Individual alteration in module attitudes toward voice-AI: The persona of listeners’ autistic-like traits. in Proceedings of Interspeech 2020, 1813–1817 (2020). https://doi.org/10.21437/Interspeech.2020-1339.

  • Tarłowski, A. & Rybska, E. Young children’s synthetical inferences within animals are strained by whether animals are presented anthropomorphically in films. Front. Psychol. 12, 634809 (2021).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gjersoe, N. L., Hall, E. L. & Hood, B. Children concept noetic lives to toys when they are emotionally bespoken to them. Cogn. Dev. 34, 28–38 (2015).


    Google Scholar
     

  • Moriguchi, Y. et al. Imaginary agents subsist perceptually for children but not for adults. Palgrave Commun. 5, 1–9 (2019).


    Google Scholar
     

  • Taylor, M. & Mottweiler, C. M. Imaginary companions: Pretending they are actual but lettered they are not. Am. J. Play 1, 47–54 (2008).


    Google Scholar
     

  • Read, J. C. & Bekker, M. M. The nature of female machine interaction. in Proceedings of the 25th BCS word on human-computer interaction, 163–170 (British Computer Society, 2011).

  • Lovato, S. & Piper, A. M. Siri, is this you?: Understanding teen children’s interactions with vocalise signaling systems. in Proceedings of the 14th International Conference on Interaction Design and Children, 335–338 (ACM, 2015).

  • Garg, R. & Sengupta, S. He is meet same me: A conceive of the long-term ingest of sharp speakers by parents and children. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 1–24 (2020).


    Google Scholar
     

  • Gambino, A., Fox, J. & Ratan, R. A. Building a stronger CASA: Extending the computers are ethnic actors paradigm. Hum. Mach. Commun. 1, 71–85 (2020).


    Google Scholar
     

  • Mayo, C., Aubanel, V. & Cooke, M. Effect of prosodic changes on style intelligibility. in Thirteenth Annual Conference of the International Speech Communication Association, 1706–1709 (2012).

  • Li, Q. & Russell, M. J. Why is semiautomatic acceptance of children’s style difficult? in Interspeech, 2671–2674 (2001).

  • Russell, M. & D’Arcy, S. Challenges for machine acceptance of children’s speech. in Workshop on Speech and Language Technology in Education (2007).

  • Kennedy, J. et al. Child style acceptance in human-robot interaction: Evaluations and recommendations. in Proceedings of the 2017 ACM/IEEE planetary word on human-robot interaction, 82–90 (2017).

  • Kim, M. K. et al. Examining vocalise assistants in the environment of children’s speech. Int. J. Child Comput. Interact. 34, 100540 (2022).


    Google Scholar
     

  • Mallidi, S. H. et al. Device-directed vocalization detection. in Interspeech 2018 (2018).

  • Swerts, M., Litman, D. & Hirschberg, J. Corrections in uttered conversation systems. in Sixth International Conference on Spoken Language Processing (2000).

  • Stent, A. J., Huffman, M. K. & Brennan, S. E. Adapting style after grounds of misrecognition: Local and orbicular hyperarticulation. Speech Commun. 50, 163–178 (2008).


    Google Scholar
     

  • Lindblom, B. Explaining phonetic variation: A describe of the H&H theory. in Speech Production and Speech Modelling, vol. 55, 403–439 (Springer, 1990).

  • Szendrői, K., Bernard, C., Berger, F., Gervain, J. & Höhle, B. Acquisition of prosodic pore rating by English, French, and Teutonic three-, four-, five-and six-year-olds. J. Child Lang. 45, 219–241 (2018).

    PubMed 

    Google Scholar
     

  • Esteve-Gibert, N., Lœvenbruck, H., Dohen, M. & d’Imperio, M. Pre-schoolers ingest nous gestures kinda than prosodic cues to particular essential aggregation in speech. Dev. Sci. 25, e13154 (2022).

    PubMed 

    Google Scholar
     

  • Cheng, Y., Yen, K., Chen, Y., Chen, S. & Hiniker, A. Why doesn’t it work? Voice-driven interfaces and teen children’s act bushel strategies. in Proceedings of the 17th ACM Conference on Interaction Design and Children, 337–348 (ACM, 2018).

  • Bell, L. & Gustafson, J. Child and grown utterer adjustment during nonachievement partitioning in a publically acquirable uttered conversation system. in Eighth dweller Conference on Speech Communication and Technology (2003).

  • Ramirez, A., Cohn, M., Zellou, G. & Graf Estes, K. Es una pelota, do you same the ball?” Pitch in Spanish-English Bilingual Infant Directed Speech. (under review).

  • Picheny, M. A., Durlach, N. I. & Braida, L. D. Speaking understandably for the hornlike of chance I: Intelligibility differences between country and informal speech. J. Speech Lang. Hear. Res. 28, 96–103 (1985).

    CAS 

    Google Scholar
     

  • Scarborough, R. & Zellou, G. Clarity in communication:“Clear” style credibility and lexical community spacing personalty in style creation and perception. J. Acoust. Soc. Am. 134, 3793–3807 (2013).

    ADS 
    PubMed 

    Google Scholar
     

  • Burnham, D. et al. Are you my lowercase pussy-cat? Acoustic, phonetic and emotional qualities of infant-and pet-directed speech. in Fifth International Conference on Spoken Language Processing Paper 0916 (1998).

  • Burnham, D., Kitamura, C. & Vollmer-Conna, U. What’s new, pussycat? On conversation to babies and animals. Science 296, 1435–1435 (2002).

    CAS 
    PubMed 

    Google Scholar
     

  • Zellou, G., Cohn, M. & FerencSegedin, B. Age- and gender-related differences in style encounter toward humans and voice-AI. Front. Commun. 5, 1–11 (2021).


    Google Scholar
     

  • Song, J. Y., Pycha, A. & Culleton, T. Interactions between voice-activated AI assistants and manlike speakers and their implications for second-language acquisition. Front. Commun. 7, 9475 (2022).


    Google Scholar
     

  • Koenecke, A. et al. Racial disparities in automatic style recognition. Proc. Natl. Acad. Sci. 117, 7684–7689 (2020).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wassink, A. B., Gansen, C. & Bartholomew, I. Uneven success: Automatic style acceptance and ethnicity-related dialects. Speech Commun. 140, 50–70 (2022).


    Google Scholar
     

  • Sachs, J. & Devin, J. Young children’s ingest of age-appropriate style styles in ethnic interaction and role-playing*. J. Child Lang. 3, 81–98 (1976).


    Google Scholar
     

  • Syrett, K. & Kawahara, S. Production and representation of listener-oriented country style in female language. J. Child Lang. 41, 1373–1389 (2014).

    PubMed 

    Google Scholar
     

  • Wellman, H. M. Making Minds: How Theory of Mind Develops (Oxford University Press, 2014).


    Google Scholar
     

  • Slaughter, V. Theory of nous in infants and teen children: A review. Aust. Psychol. 50, 169–172 (2015).


    Google Scholar
     

  • Severson, R. L. & Lemm, K. M. Kids wager manlike too: Adapting an individualist differences manoeuvre of anthropomorphism for a female sample. J. Cogn. Dev. 17, 122–141 (2016).


    Google Scholar
     

  • Severson, R. L. & Woodard, S. R. Imagining others’ minds: The constructive traffic between children’s persona endeavor and anthropomorphism. Front. Psychol. https://doi.org/10.3389/fpsyg.2018.02140 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Siegert, I. et al. Voice supporter conversation capital (VACC): A multi-scenario dataset for addressee spotting in human–computer-interaction using Amazon’s ALEXA. in Proceeding of the 11th LREC (2018).

  • Garnier, M., Ménard, L. & Alexandre, B. Hyper-articulation in dweller speech: An astir anecdotal strategy to compound circumpolar style cues?. J. Acoust. Soc. Am. 144, 1059–1074 (2018).

    ADS 
    PubMed 

    Google Scholar
     

  • Trujillo, J., Özyürek, A., Holler, J. & Drijvers, L. Speakers show a multimodal dweller gist in noise. Sci. Rep. 11, 16721 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gampe, A., Zahner-Ritter, K., Müller, J. J. & Schmid, S. R. How children intercommunicate with their vocalise supporter Sila depends on what they conceive most her. Comput. Hum. Behav. 143, 107693 (2023).


    Google Scholar
     

  • Gessinger, I., Cohn, M., Zellou, G. & Möbius, B. Cross-Cultural Comparison of Gradient Emotion Perception: Human vs. Alexa TTS Voices. Proceedings Interspeech 2022 23rd Conference International Speech Communication Association, 4970–4974 (2022).

  • Kornai, A. Digital module death. PLoS ONE 8, e77056 (2013).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zaugg, I. A., Hossain, A. & Molloy, B. Digitally-disadvantaged languages. Internet Policy Rev. 11, 1654 (2022).


    Google Scholar
     

  • Kuperman, V., Stadthagen-Gonzalez, H. & Brysbaert, M. Age-of-acquisition ratings for 30,000 arts words. Behav. Res. Methods 44, 978–990 (2012).

    PubMed 

    Google Scholar
     

  • Wittenburg, P., Brugman, H., Russel, A., Klassmann, A. & Sloetjes, H. ELAN: A professed support for multimodality research. in 5th International Conference on Language Resources and Evaluation (LREC 2006), 1556–1559 (2006).

  • Boersma, P. & Weenink, D. Praat: Doing Phonetics by Computer. (2021).

  • DiCanio, C. Extract Pitch Averages. https://www.acsu.buffalo.edu/~cdicanio/scripts/Get_pitch.praat (2007).

  • Bürkner, P.-C. brms: An R collection for theorem multilevel models using Stan. J. Stat. Softw. 80, 1–28 (2017).


    Google Scholar
     

  • Carpenter, B. et al. Stan: A probabilistic planning language. J. Stat. Softw. 76, 01 (2017).


    Google Scholar
     

  • R Core Team. R: A Language and Environment for Statistical Computing. (R Foundation for Statistical Computing, 2016).

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