Abstract
Kindness is a pro-social virtue, which evokes mixed feelings in the modern world. In Western culture, for example, kindness is always positive, but elitist. The Digital Revolution and the birth of artificial intelligence, such as the Google Mini, allowed the transition from elitist experience to mass experience. The study has an exploratory function and starts from the Man-AI interaction, in a provocative and oppositional conversational context created by the Human Being. In the research, it is hypothesized, therefore, that the synthesis of the artificial voice does not allow to characterize all the facets of the tone and the emotionality of the kindness. As a result, Artificial Intelligence is programmed to always respond in a “gentle” way, putting in place different facets of kindness, which are well detected in the emotionality and prosodic analysis, above all in the recognition of “pitch” speech pattern. While emotional tone analysis confirms the “understanding” of reading the communicative context of Artificial Intelligence. Among future perspectives it is highlighted how the study of these vocal patterns of artificial kindness can be a springboard for research on bullying, using the Google Mini Kindness tool.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ballatt, J., Campling, P.: Intelligent kindness: Reforming the culture of healthcare. RCPsych publications (2011).
Bonnefon, J.-F., Feeney, A., Villejoubert, G.: When some is actually all: Scalar inferences in face-threatening contexts. Cognition 112(2), 249–258 (2009)
Caffi, C.: On mitigation. J. Pragmatics 31(7), 881–909 (1999)
De Vignemont, F., Singer, T.: The empathic brain: how, when and why? Trends Cogn. Sci. 10(10), 435–441 (2006)
Eyben, F., Wöllmer, M., Schuller, B.: OpenSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor. In: Proc, pp. 1459–1462. ACM, ACM Multimedia (MM), ACM, Florence, Italy (2010)
Grice, H. P.: Logic and conversation. In Readings in language and mind. Blackwell (1975).
Hinton, D.E., Ojserkis, R.A., Jalal, B., Peou, S., Hofmann, S.G.: Loving-kindness in the treatment of traumatized refugees and minority groups: a typology of mindfulness and the nodal network model of affect and affect regulation. J. Clin. Psychol. 69(8), 817–828 (2013)
Hofmann, S.G., Grossman, P., Hinton, D.E.: Loving-kindness and compassion meditation: potential for psychological interventions. Clin. Psychol. Rev. 31(7), 1126–1132 (2011)
Holtgraves, T.: Yes, but... positive politeness in conversation arguments. J. Lang. Soc. Psychol. 16(2), 222–239 (1997).
Hopkins, J.: Cultivating Compassion: A Buddhist Perspective. Broadway Books, New York, NY (2001)
Hutcherson, C.A., Seppala, E.M., Gross, J.J.: Loving-kindness meditation increases social connectedness. Emotion 8(5), 720–724 (2008)
Kaundinya, A.S., Atreyas, N.S., Srinivas, S., Kehav, V., Kumar, N.M.R.: Voice enabled home automation using amazon echo. Int. Res. J. Eng. Technol 4, 682–684 (2017)
Mascaro, J.S., Darcher, A., Negi, L.T., Raison, C.L.: The neural mediators of kindness-based meditation: a theoretical model. Front. Psychol. 6, 109 (2015)
Neff, K.D.: Self-compassion: an alternative conceptualization of a healthy attitude toward oneself. Self and Identity 2, 85–101 (2003)
Ortony, A., Turner, T.J.: What‘s basic about basic emotions?. Psychol. Rev. 97(3), 315– 331 (1990).
Panda, B., Padhi, D., Dash, K., Mohantay, S.: Use of SVM classifier & MFCC in Speech Emotion Recognition System. Int. J. Adv. Res. Comput. Sci. Softw. Eng. (IJARCSSE), 2(3) (2012)
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends® Inf. Retrieval, 2(1–2), 1–135 (2008)
Passmore, J., Oades, L.G.: Positive psychology techniques: random acts of kindness and consistent acts of kindness and empathy. Coach. Psychol. 11(2), 90–92 (2015)
Yoon, E.J., Tessler, M.H., Goodman, N.D., Frank, M.C.: Talking with tact: Polite language as a balance between kindness and informativity. In: Proceedings of the 38th Annual Conference of the Cognitive Science Society. Cognitive Science Society, pp. 2771–2776 (2016)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Papapicco, C. (2021). Artificial Kindness The Italian Case of Google Mini Recognition Patterns. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12666. Springer, Cham. https://doi.org/10.1007/978-3-030-68780-9_54
Download citation
DOI: https://doi.org/10.1007/978-3-030-68780-9_54
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-68779-3
Online ISBN: 978-3-030-68780-9
eBook Packages: Computer ScienceComputer Science (R0)