Skip to main content
Top
Published in: Current Sexual Health Reports 2/2024

Open Access 27-03-2024

The Usage of Voice in Sexualized Interactions with Technologies and Sexual Health Communication: An Overview

Authors: Jessica M. Szczuka, Lisa Mühl

Published in: Current Sexual Health Reports | Issue 2/2024

Login to get access

Abstract

Purpose of Review

The present overview addresses the importance of voice in human-technology interactions within the sexual realm. It introduces empirical evidence within two key domains: (a) sexualized interactions involving artificial entities and (b) communication about sexuality-related health. Moreover, the review underscores existing research gaps.

Recent Findings

Theories and first empirical studies underline the importance of voice within sexualized interactions with voice assistants or conversational agents as social cues. However, research on voice usage in sexual health-related contexts reveals contradicting results, mainly because these technologies ask users to vocalize potentially sensitive topics.

Summary

Although the utilization of voice in technology is steadily advancing, the question of whether voice serves as the optimal medium for social interactions involving sexually related artificial entities and sexual health-related communication remains unanswered. This uncertainty stems from the fact that certain information must be conveyed verbally, which could also be communicated through alternative means, such as text-based interactions.
Literature
2.
go back to reference Hoy MB. Alexa, Siri, Cortana, and more: an introduction to voice assistants. Med Ref Serv Q. 2018;37(1):81–8.CrossRefPubMed Hoy MB. Alexa, Siri, Cortana, and more: an introduction to voice assistants. Med Ref Serv Q. 2018;37(1):81–8.CrossRefPubMed
4.
go back to reference Zwakman DS, Pal D, Arpnikanondt C. Usability evaluation of artificial intelligence-based voice assistants: the case of Amazon Alexa. SN Comput Sci. 2021;2(1):28.CrossRefPubMedPubMedCentral Zwakman DS, Pal D, Arpnikanondt C. Usability evaluation of artificial intelligence-based voice assistants: the case of Amazon Alexa. SN Comput Sci. 2021;2(1):28.CrossRefPubMedPubMedCentral
5.
go back to reference Al-Kaisi AN, Arkhangelskaya AL, Rudenko-Morgun OI. The didactic potential of the voice assistant “Alice” for students of a foreign language at a university. Educ Inf Technol. 2021;26(1):715–32.CrossRef Al-Kaisi AN, Arkhangelskaya AL, Rudenko-Morgun OI. The didactic potential of the voice assistant “Alice” for students of a foreign language at a university. Educ Inf Technol. 2021;26(1):715–32.CrossRef
6.
go back to reference •• Döring N, Krämer N, Mikhailova V, Brand M, Krüger THC, Vowe G. Sexual interaction in digital contexts and its implications for sexual health: a conceptual analysis. Front Psychol. 2021 12:769732. (This document classifies technologies into categories based on arousal orientation, distinguishing between arousal-oriented and non-arousal-oriented technologies, thereby offering a crucial foundational definition) •• Döring N, Krämer N, Mikhailova V, Brand M, Krüger THC, Vowe G. Sexual interaction in digital contexts and its implications for sexual health: a conceptual analysis. Front Psychol. 2021 12:769732. (This document classifies technologies into categories based on arousal orientation, distinguishing between arousal-oriented and non-arousal-oriented technologies, thereby offering a crucial foundational definition)
10.
go back to reference Murray E, Hekler EB, Andersson G, Collins LM, Doherty A, Hollis C, et al. Evaluating digital health interventions: key questions and approaches. Am J Prev Med. 2016;51(5):843–51.CrossRefPubMedPubMedCentral Murray E, Hekler EB, Andersson G, Collins LM, Doherty A, Hollis C, et al. Evaluating digital health interventions: key questions and approaches. Am J Prev Med. 2016;51(5):843–51.CrossRefPubMedPubMedCentral
11.
go back to reference Balaji D, He L, Giani S, Bosse T, Wiers R, de Bruijn GJ. Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis. Sex Health. 2022;19(5):391–405. Balaji D, He L, Giani S, Bosse T, Wiers R, de Bruijn GJ. Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis. Sex Health. 2022;19(5):391–405.
12.
go back to reference ••Garett R, Young SD. Potential application of conversational agents in HIV testing uptake among high-risk populations. J Public Health. 2023 Mar 14;45(1):189–92. (This theoretical paper explores the application of conversational agents in increasing HIV testing among high-risk populations and points out the potential of their application within the field of sexual health.) ••Garett R, Young SD. Potential application of conversational agents in HIV testing uptake among high-risk populations. J Public Health. 2023 Mar 14;45(1):189–92. (This theoretical paper explores the application of conversational agents in increasing HIV testing among high-risk populations and points out the potential of their application within the field of sexual health.)
13.
go back to reference •• Cho E. Hey Google, Can i ask you something in private? In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems [Internet]. Glasgow Scotland Uk: ACM; 2019 [cited 2023 Jun 28]. 1–9. Available from: https://dl.acm.org/doi/https://doi.org/10.1145/3290605.3300488.(This empirical work underscores the significance of modalities and their impact on the communication of sensitive inquiries) •• Cho E. Hey Google, Can i ask you something in private? In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems [Internet]. Glasgow Scotland Uk: ACM; 2019 [cited 2023 Jun 28]. 1–9. Available from: https://​dl.​acm.​org/​doi/​https://​doi.​org/​10.​1145/​3290605.​3300488.​(This empirical work underscores the significance of modalities and their impact on the communication of sensitive inquiries)
15.
go back to reference Szczuka JM, Hartmann T, Krämer NC. Negative and positive influences on the sensations evoked by artificial sex partners: a review of relevant theories, recent findings, and introduction of the sexual interaction illusion model. In: Zhou Y, Fischer MH, editors. AI Love You [Internet]. Cham: Springer International Publishing; 2019 [cited 2023 Jun 28]. p. 3–19. Available from: https://link.springer.com/https://doi.org/10.1007/978-3-030-19734-6_1 Szczuka JM, Hartmann T, Krämer NC. Negative and positive influences on the sensations evoked by artificial sex partners: a review of relevant theories, recent findings, and introduction of the sexual interaction illusion model. In: Zhou Y, Fischer MH, editors. AI Love You [Internet]. Cham: Springer International Publishing; 2019 [cited 2023 Jun 28]. p. 3–19. Available from: https://​link.​springer.​com/​https://​doi.​org/​10.​1007/​978-3-030-19734-6_​1
16.
go back to reference •• Nass CI, Brave S. Wired for speech: how voice activates and advances the human-computer relationship. Cambridge, Mass: MIT Press; 2005. 296. (This book establishes a theoretical foundation for the utilization of voice as a social cue and explores how it subsequently triggers social cues and elicits corresponding responses) •• Nass CI, Brave S. Wired for speech: how voice activates and advances the human-computer relationship. Cambridge, Mass: MIT Press; 2005. 296. (This book establishes a theoretical foundation for the utilization of voice as a social cue and explores how it subsequently triggers social cues and elicits corresponding responses)
18.
go back to reference •• Szczuka JM. Flirting with or through media: how the communication partners’ ontological class and sexual priming affect heterosexual males’ interest in flirtatious messages and their perception of the source. Front Psychol. 2022 ;13:719008. (This empirical study tests differences between reactions to computer-mediated voice communication and voice assistants) •• Szczuka JM. Flirting with or through media: how the communication partners’ ontological class and sexual priming affect heterosexual males’ interest in flirtatious messages and their perception of the source. Front Psychol. 2022 ;13:719008. (This empirical study tests differences between reactions to computer-mediated voice communication and voice assistants)
19.
go back to reference Knafo D, LoBosco R. The age of perversion: desire and technology in psychoanalysis and culture. New York: Routledge; 2017. 283. (Psychoanalysis in a new key). Knafo D, LoBosco R. The age of perversion: desire and technology in psychoanalysis and culture. New York: Routledge; 2017. 283. (Psychoanalysis in a new key).
20.
go back to reference Lievesley R, Reynolds R, Harper CA. The ‘perfect’ partner: understanding the lived experiences of men who own sex dolls. Sex Cult. 2023;27(4):1419–41.CrossRef Lievesley R, Reynolds R, Harper CA. The ‘perfect’ partner: understanding the lived experiences of men who own sex dolls. Sex Cult. 2023;27(4):1419–41.CrossRef
21.
go back to reference •• Pentina I, Hancock T, Xie T. Exploring relationship development with social chatbots: a mixed-method study of Replika. Comput Hum Behav. 2023 Mar;140:107600. (This work introduces an model of how and why humans build an relationship with conversational agents) •• Pentina I, Hancock T, Xie T. Exploring relationship development with social chatbots: a mixed-method study of Replika. Comput Hum Behav. 2023 Mar;140:107600. (This work introduces an model of how and why humans build an relationship with conversational agents)
22.
go back to reference Szczuka JM, Dehnert. Sexualized robots: use cases, normative debates, and the need for research. In: Emerging Issues for Emerging Technologies: Informed Provocations for Theorizing Media Future. Szczuka JM, Dehnert. Sexualized robots: use cases, normative debates, and the need for research. In: Emerging Issues for Emerging Technologies: Informed Provocations for Theorizing Media Future.
23.
go back to reference Skjuve M, Følstad A, Fostervold KI, Brandtzaeg PB. My chatbot companion - a study of human-chatbot relationships. Int J Hum-Comput Stud. 2021;149:102601.CrossRef Skjuve M, Følstad A, Fostervold KI, Brandtzaeg PB. My chatbot companion - a study of human-chatbot relationships. Int J Hum-Comput Stud. 2021;149:102601.CrossRef
24.
go back to reference Parmar P, Ryu J, Pandya S, Sedoc J, Agarwal S. Health-focused conversational agents in person-centered care: a review of apps. Npj Digit Med. 2022;5(1):21.CrossRefPubMedPubMedCentral Parmar P, Ryu J, Pandya S, Sedoc J, Agarwal S. Health-focused conversational agents in person-centered care: a review of apps. Npj Digit Med. 2022;5(1):21.CrossRefPubMedPubMedCentral
25.
go back to reference Miner AS, Milstein A, Schueller S, Hegde R, Mangurian C, Linos E. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176(5):619.CrossRefPubMedPubMedCentral Miner AS, Milstein A, Schueller S, Hegde R, Mangurian C, Linos E. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176(5):619.CrossRefPubMedPubMedCentral
26.
go back to reference Nadarzynski T, Bayley J, Llewellyn C, Kidsley S, Graham CA. Acceptability of artificial intelligence (AI)-enabled chatbots, video consultations and live webchats as online platforms for sexual health advice. BMJ Sex Reprod Health. 2020;46(3):210–7.CrossRefPubMed Nadarzynski T, Bayley J, Llewellyn C, Kidsley S, Graham CA. Acceptability of artificial intelligence (AI)-enabled chatbots, video consultations and live webchats as online platforms for sexual health advice. BMJ Sex Reprod Health. 2020;46(3):210–7.CrossRefPubMed
27.
go back to reference Nadarzynski T, Puentes V, Pawlak I, Mendes T, Montgomery I, Bayley J, et al. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sex Health. 2021;18(5):385–93. Nadarzynski T, Puentes V, Pawlak I, Mendes T, Montgomery I, Bayley J, et al. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sex Health. 2021;18(5):385–93.
28.
go back to reference Wilson N, MacDonald EJ, Mansoor OD, Morgan J. In bed with Siri and Google Assistant: a comparison of sexual health advice. BMJ. 2017;13:j5635.CrossRef Wilson N, MacDonald EJ, Mansoor OD, Morgan J. In bed with Siri and Google Assistant: a comparison of sexual health advice. BMJ. 2017;13:j5635.CrossRef
29.
go back to reference • Napolitano L, Barone B, Spirito L, Trama F, Pandolfo SD, Capece M, et al. Voice assistants as consultants for male patients with sexual dysfunction: a reliable option? Int J Environ Res Public Health. 2023 ;20(3):2612. (This empirical investigation provides a direct comparison of the recognition and response capabilities of the presently dominant voice assistants in the context of inquiries pertaining to male sexual health.) • Napolitano L, Barone B, Spirito L, Trama F, Pandolfo SD, Capece M, et al. Voice assistants as consultants for male patients with sexual dysfunction: a reliable option? Int J Environ Res Public Health. 2023 ;20(3):2612. (This empirical investigation provides a direct comparison of the recognition and response capabilities of the presently dominant voice assistants in the context of inquiries pertaining to male sexual health.)
30.
go back to reference Van Heerden A, Ntinga X, Vilakazi K. The potential of conversational agents to provide a rapid HIV counseling and testing services. In: 2017 International Conference on the Frontiers and Advances in Data Science (FADS) [Internet]. Xi’an: IEEE; 2017 [cited 2023 Aug 7]. p. 80–5. Available from: http://ieeexplore.ieee.org/document/8253198/ Van Heerden A, Ntinga X, Vilakazi K. The potential of conversational agents to provide a rapid HIV counseling and testing services. In: 2017 International Conference on the Frontiers and Advances in Data Science (FADS) [Internet]. Xi’an: IEEE; 2017 [cited 2023 Aug 7]. p. 80–5. Available from: http://​ieeexplore.​ieee.​org/​document/​8253198/​
31.
go back to reference Liu AY, Laborde ND, Coleman K, Vittinghoff E, Gonzalez R, Wilde G, et al. DOT Diary: developing a novel mobile app using artificial intelligence and an electronic sexual diary to measure and support PrEP adherence among young men who have sex with men. AIDS Behav. 2021;25(4):1001–12.CrossRefPubMed Liu AY, Laborde ND, Coleman K, Vittinghoff E, Gonzalez R, Wilde G, et al. DOT Diary: developing a novel mobile app using artificial intelligence and an electronic sexual diary to measure and support PrEP adherence among young men who have sex with men. AIDS Behav. 2021;25(4):1001–12.CrossRefPubMed
32.
go back to reference Dworkin MS, Lee S, Chakraborty A, Monahan C, Hightow-Weidman L, Garofalo R, et al. Acceptability, feasibility, and preliminary efficacy of a theory-based relational embodied conversational agent mobile phone intervention to promote HIV medication adherence in young HIV-positive African American MSM. AIDS Educ Prev. 2019;31(1):17–37.CrossRefPubMed Dworkin MS, Lee S, Chakraborty A, Monahan C, Hightow-Weidman L, Garofalo R, et al. Acceptability, feasibility, and preliminary efficacy of a theory-based relational embodied conversational agent mobile phone intervention to promote HIV medication adherence in young HIV-positive African American MSM. AIDS Educ Prev. 2019;31(1):17–37.CrossRefPubMed
33.
go back to reference Abercrombie G, Curry AC, Pandya M, Rieser V. Alexa, Google, Siri: What are your pronouns? Gender and anthropomorphism in the design and perception of conversational assistants [Internet]. arXiv; 2021 [cited 2023 Dec 12]. Available from: http://arxiv.org/abs/2106.02578 Abercrombie G, Curry AC, Pandya M, Rieser V. Alexa, Google, Siri: What are your pronouns? Gender and anthropomorphism in the design and perception of conversational assistants [Internet]. arXiv; 2021 [cited 2023 Dec 12]. Available from: http://​arxiv.​org/​abs/​2106.​02578
34.
go back to reference O’Connor JJM, Barclay P. The influence of voice pitch on perceptions of trustworthiness across social contexts. Evol Hum Behav. 2017;38(4):506–12.CrossRef O’Connor JJM, Barclay P. The influence of voice pitch on perceptions of trustworthiness across social contexts. Evol Hum Behav. 2017;38(4):506–12.CrossRef
35.
go back to reference Tolmeijer S, Zierau N, Janson A, Wahdatehagh JS, Leimeister JMM, Bernstein A. Female by default? – exploring the effect of voice assistant gender and pitch on trait and trust attribution. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems [Internet]. Yokohama Japan: ACM; 2021 [cited 2023 Dec 8]. p. 1–7. Available from: https://dl.acm.org/doi/https://doi.org/10.1145/3411763.3451623 Tolmeijer S, Zierau N, Janson A, Wahdatehagh JS, Leimeister JMM, Bernstein A. Female by default? – exploring the effect of voice assistant gender and pitch on trait and trust attribution. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems [Internet]. Yokohama Japan: ACM; 2021 [cited 2023 Dec 8]. p. 1–7. Available from: https://​dl.​acm.​org/​doi/​https://​doi.​org/​10.​1145/​3411763.​3451623
37.
go back to reference Danielescu A, Horowit-Hendler SA, Pabst A, Stewart KM, Gallo EM, Aylett MP. Creating inclusive voices for the 21st century: a non-binary text-to-speech for conversational assistants. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems [Internet]. Hamburg Germany: ACM; 2023 [cited 2023 Dec 7]. p. 1–17. Available from: https://dl.acm.org/doi/https://doi.org/10.1145/3544548.3581281 Danielescu A, Horowit-Hendler SA, Pabst A, Stewart KM, Gallo EM, Aylett MP. Creating inclusive voices for the 21st century: a non-binary text-to-speech for conversational assistants. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems [Internet]. Hamburg Germany: ACM; 2023 [cited 2023 Dec 7]. p. 1–17. Available from: https://​dl.​acm.​org/​doi/​https://​doi.​org/​10.​1145/​3544548.​3581281
38.
go back to reference Balfour LA. #TimesUp for Siri and Alexa: sexual violence and the digital domestic. In: Patrick S, Rajiva M, editors. The Forgotten Victims of Sexual Violence in Film, Television and New Media [Internet]. Cham: Springer International Publishing; 2022 [cited 2023 Dec 7]. p. 163–77. Available from: https://link.springer.com/https://doi.org/10.1007/978-3-030-95935-7_9 Balfour LA. #TimesUp for Siri and Alexa: sexual violence and the digital domestic. In: Patrick S, Rajiva M, editors. The Forgotten Victims of Sexual Violence in Film, Television and New Media [Internet]. Cham: Springer International Publishing; 2022 [cited 2023 Dec 7]. p. 163–77. Available from: https://​link.​springer.​com/​https://​doi.​org/​10.​1007/​978-3-030-95935-7_​9
40.
go back to reference Cercas Curry A, Rieser V. #MeToo Alexa: how conversational systems respond to sexual harassment. In: Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing [Internet]. New Orleans, Louisiana, USA: Association for Computational Linguistics; 2018 [cited 2023 Dec 8]. p. 7–14. Available from: http://aclweb.org/anthology/W18-0802 Cercas Curry A, Rieser V. #MeToo Alexa: how conversational systems respond to sexual harassment. In: Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing [Internet]. New Orleans, Louisiana, USA: Association for Computational Linguistics; 2018 [cited 2023 Dec 8]. p. 7–14. Available from: http://​aclweb.​org/​anthology/​W18-0802
43.
go back to reference Chen Y, Mahoney C, Grasso I, Wali E, Matthews A, Middleton T, et al. Gender bias and under-representation in natural language processing across human languages. In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society [Internet]. Virtual Event USA: ACM; 2021 [cited 2023 Dec 8]. p. 24–34. Available from: https://dl.acm.org/doi/https://doi.org/10.1145/3461702.3462530 Chen Y, Mahoney C, Grasso I, Wali E, Matthews A, Middleton T, et al. Gender bias and under-representation in natural language processing across human languages. In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society [Internet]. Virtual Event USA: ACM; 2021 [cited 2023 Dec 8]. p. 24–34. Available from: https://​dl.​acm.​org/​doi/​https://​doi.​org/​10.​1145/​3461702.​3462530
45.
go back to reference Strengers Y, Qu L, Xu Q, Knibbe J. Adhering, steering, and queering: treatment of gender in natural language generation. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems [Internet]. Honolulu HI USA: ACM; 2020 [cited 2023 Dec 8]. p. 1–14. Available from: https://dl.acm.org/doi/https://doi.org/10.1145/3313831.3376315 Strengers Y, Qu L, Xu Q, Knibbe J. Adhering, steering, and queering: treatment of gender in natural language generation. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems [Internet]. Honolulu HI USA: ACM; 2020 [cited 2023 Dec 8]. p. 1–14. Available from: https://​dl.​acm.​org/​doi/​https://​doi.​org/​10.​1145/​3313831.​3376315
46.
go back to reference Manzini T, Yao Chong L, Black AW, Tsvetkov Y. Black is to criminal as Caucasian is to police: detecting and removing multiclass bias in word embeddings. In: Proceedings of the 2019 Conference of the North [Internet]. Minneapolis, Minnesota: Association for Computational Linguistics; 2019 [cited 2023 Dec 8]. p. 615–21. Available from: http://aclweb.org/anthology/N19-1062 Manzini T, Yao Chong L, Black AW, Tsvetkov Y. Black is to criminal as Caucasian is to police: detecting and removing multiclass bias in word embeddings. In: Proceedings of the 2019 Conference of the North [Internet]. Minneapolis, Minnesota: Association for Computational Linguistics; 2019 [cited 2023 Dec 8]. p. 615–21. Available from: http://​aclweb.​org/​anthology/​N19-1062
47.
go back to reference Schlesinger A, O’Hara KP, Taylor AS. Let’s talk about race: identity, chatbots, and AI. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems [Internet]. Montreal QC Canada: ACM; 2018 [cited 2023 Dec 8]. p. 1–14. Available from: https://doi.org/10.1145/3173574.3173889 Schlesinger A, O’Hara KP, Taylor AS. Let’s talk about race: identity, chatbots, and AI. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems [Internet]. Montreal QC Canada: ACM; 2018 [cited 2023 Dec 8]. p. 1–14. Available from: https://​doi.​org/​10.​1145/​3173574.​3173889
48.
go back to reference Diaz M, Johnson I, Lazar A, Piper AM, Gergle D. Addressing age-related bias in sentiment analysis. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems [Internet]. Montreal QC Canada: ACM; 2018 [cited 2023 Dec 8]. p. 1–14. Available from: https://doi.org/10.1145/3173574.3173986 Diaz M, Johnson I, Lazar A, Piper AM, Gergle D. Addressing age-related bias in sentiment analysis. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems [Internet]. Montreal QC Canada: ACM; 2018 [cited 2023 Dec 8]. p. 1–14. Available from: https://​doi.​org/​10.​1145/​3173574.​3173986
49.
go back to reference Ghai B, Hoque MN, Mueller K. WordBias: an interactive visual tool for discovering intersectional biases encoded in word embeddings. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems [Internet]. Yokohama Japan: ACM; 2021 [cited 2023 Dec 8]. p. 1–7. Available from: https://doi.org/10.1145/3411763.3451587 Ghai B, Hoque MN, Mueller K. WordBias: an interactive visual tool for discovering intersectional biases encoded in word embeddings. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems [Internet]. Yokohama Japan: ACM; 2021 [cited 2023 Dec 8]. p. 1–7. Available from: https://​doi.​org/​10.​1145/​3411763.​3451587
50.
go back to reference Seaborn K, Chandra S, Fabre T. Transcending the “male code”: implicit masculine biases in NLP contexts. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems [Internet]. Hamburg Germany: ACM; 2023 [cited 2023 Dec 8]. p. 1–19. Available from: https://doi.org/10.1145/3544548.3581017 Seaborn K, Chandra S, Fabre T. Transcending the “male code”: implicit masculine biases in NLP contexts. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems [Internet]. Hamburg Germany: ACM; 2023 [cited 2023 Dec 8]. p. 1–19. Available from: https://​doi.​org/​10.​1145/​3544548.​3581017
51.
go back to reference Rideout V, Fox S. Digital health practices, social media use, and mental well-being among teens and young adults in the US. Artic Abstr Rep. 2018;1093. Rideout V, Fox S. Digital health practices, social media use, and mental well-being among teens and young adults in the US. Artic Abstr Rep. 2018;1093.
52.
go back to reference Gámez-Guadix M, Incera D. Homophobia is online: sexual victimization and risks on the internet and mental health among bisexual, homosexual, pansexual, asexual, and queer adolescents. Comput Hum Behav. 2021;119:106728.CrossRef Gámez-Guadix M, Incera D. Homophobia is online: sexual victimization and risks on the internet and mental health among bisexual, homosexual, pansexual, asexual, and queer adolescents. Comput Hum Behav. 2021;119:106728.CrossRef
53.
go back to reference Lucassen M, Samra R, Iacovides I, Fleming T, Shepherd M, Stasiak K, et al. How LGBT+ young people use the internet in relation to their mental health and envisage the use of e-therapy: exploratory study. JMIR Serious Games. 2018;6(4):e11249.CrossRefPubMedPubMedCentral Lucassen M, Samra R, Iacovides I, Fleming T, Shepherd M, Stasiak K, et al. How LGBT+ young people use the internet in relation to their mental health and envisage the use of e-therapy: exploratory study. JMIR Serious Games. 2018;6(4):e11249.CrossRefPubMedPubMedCentral
54.
go back to reference Scandurra C, Mezza F, Esposito C, Vitelli R, Maldonato NM, Bochicchio V, et al. Online sexual activities in Italian older adults: the role of gender, sexual orientation, and permissiveness. Sex Res Soc Policy. 2022;19(1):248–63.CrossRef Scandurra C, Mezza F, Esposito C, Vitelli R, Maldonato NM, Bochicchio V, et al. Online sexual activities in Italian older adults: the role of gender, sexual orientation, and permissiveness. Sex Res Soc Policy. 2022;19(1):248–63.CrossRef
55.
go back to reference Gewirtz-Meydan A, Opuda E, Ayalon L. Sex and love among older adults in the digital world: a scoping review. Gerontologist. 2023;63(2):218–30. Gewirtz-Meydan A, Opuda E, Ayalon L. Sex and love among older adults in the digital world: a scoping review. Gerontologist. 2023;63(2):218–30.
56.
go back to reference Masina F, Orso V, Pluchino P, Dainese G, Volpato S, Nelini C, et al. Investigating the accessibility of voice assistants with impaired users: mixed methods study. J Med Internet Res. 2020;22(9):e18431.CrossRefPubMedPubMedCentral Masina F, Orso V, Pluchino P, Dainese G, Volpato S, Nelini C, et al. Investigating the accessibility of voice assistants with impaired users: mixed methods study. J Med Internet Res. 2020;22(9):e18431.CrossRefPubMedPubMedCentral
57.
go back to reference Pradhan A, Mehta K, Findlater L. “Accessibility came by accident”: use of voice-controlled intelligent personal assistants by people with disabilities. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems [Internet]. Montreal QC Canada: ACM; 2018 [cited 2023 Dec 9]. p. 1–13. Available from: https://dl.acm.org/doi/https://doi.org/10.1145/3173574.3174033 Pradhan A, Mehta K, Findlater L. “Accessibility came by accident”: use of voice-controlled intelligent personal assistants by people with disabilities. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems [Internet]. Montreal QC Canada: ACM; 2018 [cited 2023 Dec 9]. p. 1–13. Available from: https://​dl.​acm.​org/​doi/​https://​doi.​org/​10.​1145/​3173574.​3174033
59.
go back to reference Gampe A, Zahner-Ritter K, Müller JJ, Schmid SR. How children speak with their voice assistant Sila depends on what they think about her. Comput Hum Behav. 2023;143:107693.CrossRef Gampe A, Zahner-Ritter K, Müller JJ, Schmid SR. How children speak with their voice assistant Sila depends on what they think about her. Comput Hum Behav. 2023;143:107693.CrossRef
60.
go back to reference Hoegen R, Aneja D, McDuff D, Czerwinski M. An end-to-end conversational style matching agent. In: Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents [Internet]. Paris France: ACM; 2019 [cited 2023 Dec 9]. p. 111–8. Available from: https://doi.org/10.1145/3308532.3329473 Hoegen R, Aneja D, McDuff D, Czerwinski M. An end-to-end conversational style matching agent. In: Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents [Internet]. Paris France: ACM; 2019 [cited 2023 Dec 9]. p. 111–8. Available from: https://​doi.​org/​10.​1145/​3308532.​3329473
61.
go back to reference Srivastava S, Theune M, Catala A. The role of lexical alignment in human understanding of explanations by conversational agents. In: Proceedings of the 28th International Conference on Intelligent User Interfaces [Internet]. Sydney NSW Australia: ACM; 2023 [cited 2023 Dec 9]. p. 423–35. Available from: https://doi.org/10.1145/3581641.3584086 Srivastava S, Theune M, Catala A. The role of lexical alignment in human understanding of explanations by conversational agents. In: Proceedings of the 28th International Conference on Intelligent User Interfaces [Internet]. Sydney NSW Australia: ACM; 2023 [cited 2023 Dec 9]. p. 423–35. Available from: https://​doi.​org/​10.​1145/​3581641.​3584086
62.
go back to reference Thomas P, McDuff D, Czerwinski M, Craswell N. Expressions of style in information seeking conversation with an agent. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval [Internet]. Virtual Event China: ACM; 2020 [cited 2023 Dec 9]. p. 1171–80. Available from: https://doi.org/10.1145/3397271.3401127 Thomas P, McDuff D, Czerwinski M, Craswell N. Expressions of style in information seeking conversation with an agent. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval [Internet]. Virtual Event China: ACM; 2020 [cited 2023 Dec 9]. p. 1171–80. Available from: https://​doi.​org/​10.​1145/​3397271.​3401127
63.
go back to reference Prakash AV, Das S. Intelligent conversational agents in mental healthcare services: a thematic analysis of user perceptions. Pac Asia J Assoc Inf Syst. 2023;12(2):1. Prakash AV, Das S. Intelligent conversational agents in mental healthcare services: a thematic analysis of user perceptions. Pac Asia J Assoc Inf Syst. 2023;12(2):1.
65.
go back to reference Cowan BR, Pantidi N, Coyle D, Morrissey K, Clarke P, Al-Shehri S, et al. “What can I help you with?”: infrequent users’ experiences of intelligent personal assistants. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services [Internet]. Vienna Austria: ACM; 2017 [cited 2023 Jun 28]. p. 1–12. Available from: https://doi.org/10.1145/3098279.3098539 Cowan BR, Pantidi N, Coyle D, Morrissey K, Clarke P, Al-Shehri S, et al. “What can I help you with?”: infrequent users’ experiences of intelligent personal assistants. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services [Internet]. Vienna Austria: ACM; 2017 [cited 2023 Jun 28]. p. 1–12. Available from: https://​doi.​org/​10.​1145/​3098279.​3098539
66.
go back to reference Rheu M, Shin JY, Peng W, Huh-Yoo J. Systematic review: trust-building factors and implications for conversational agent design. Int J Human-Computer Interact. 2021;37(1):81–96.CrossRef Rheu M, Shin JY, Peng W, Huh-Yoo J. Systematic review: trust-building factors and implications for conversational agent design. Int J Human-Computer Interact. 2021;37(1):81–96.CrossRef
67.
go back to reference Wienrich C, Reitelbach C, Carolus A. The trustworthiness of voice assistants in the context of healthcare investigating the effect of perceived expertise on the trustworthiness of voice assistants, providers, data receivers, and automatic speech recognition. Front Comput Sci. 2021;17(3):685250.CrossRef Wienrich C, Reitelbach C, Carolus A. The trustworthiness of voice assistants in the context of healthcare investigating the effect of perceived expertise on the trustworthiness of voice assistants, providers, data receivers, and automatic speech recognition. Front Comput Sci. 2021;17(3):685250.CrossRef
69.
go back to reference Szczuka JM, Strathmann C, Szymczyk N, Mavrina L, Krämer NC. How do children acquire knowledge about voice assistants? A longitudinal field study on children’s knowledge about how voice assistants store and process data. Int J Child-Comput Interact. 2022;33:100460.CrossRef Szczuka JM, Strathmann C, Szymczyk N, Mavrina L, Krämer NC. How do children acquire knowledge about voice assistants? A longitudinal field study on children’s knowledge about how voice assistants store and process data. Int J Child-Comput Interact. 2022;33:100460.CrossRef
Metadata
Title
The Usage of Voice in Sexualized Interactions with Technologies and Sexual Health Communication: An Overview
Authors
Jessica M. Szczuka
Lisa Mühl
Publication date
27-03-2024
Publisher
Springer US
Published in
Current Sexual Health Reports / Issue 2/2024
Print ISSN: 1548-3584
Electronic ISSN: 1548-3592
DOI
https://doi.org/10.1007/s11930-024-00383-4