Real is the new sexy: the influence of perceived realness on self-reported arousal to sexual visual stimuli

Marini, Marco; Ansani, Alessandro; Demichelis, Alessandro; Mancini, Giovanna; Paglieri, Fabio; Viola, Marco

doi:10.1080/02699931.2023.2296581

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Considering the androgynous faces as the reference category, the 1 Cohen's d was derived from the proportion of the variance explained by the predictor (i.e., R 2 ) as per the following formula (Ruscio, 2008;Marini et al, 2024): that the difference between feminine and masculine faces was not significant (p = .319) (Figure 2).…”

Section: Response Times and Face Evaluationmentioning

confidence: 99%

Moral inferences from androgynous faces are beyond categorical uncertainty: Evidence of a positive bias towards androgynous targets

Ansani,

Olivera‐La Rosa

2024

Euro J Social Psych

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Postulating a negative bias towards social ambiguity, we conducted cross‐cultural online research to assess whether categorical discrepancies in the perception of androgynous faces were associated with the uncanny feeling and inferences of different morality. Across four studies, we found that androgynous faces were harder to classify into a binary sex category than sex‐typical faces, but this difficulty did not influence social judgements of androgynous targets in a negative fashion. In Study 1 (Spanish‐speaking sample, N = 76), we found that androgynous faces were rated as more trustworthy, less creepy, and less morally different than sex‐typical faces. Study 2 replicated most of the findings from Study 1 in an Italian sample (N = 45). Positive bias towards androgyny was not replicated with a different set of stimuli featuring faces of diverse ethnic backgrounds (Study 3, Spanish‐speaking sample, N = 140). However, results revealed a main effect of ethnicity in participants’ responses. When controlling for the effect of morphing procedures in stimuli selection, an overall positive bias towards androgynous targets arose, especially when compared to masculine targets (Study 4, Spanish‐speaking sample, N = 85). These findings suggest that, at least in certain conditions, a positive social bias towards androgynous faces may emerge that does not depend on categorical uncertainty and facial attractiveness.

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Section: Response Times and Face Evaluationmentioning

confidence: 99%

Moral inferences from androgynous faces are beyond categorical uncertainty: Evidence of a positive bias towards androgynous targets

Ansani,

Olivera‐La Rosa

2024

Euro J Social Psych

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The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024

Döring,

Le,

Vowels

et al. 2024

Curr Sex Health Rep

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Purpose of Review Millions of people now use generative artificial intelligence (GenAI) tools in their daily lives for a variety of purposes, including sexual ones. This narrative literature review provides the first scoping overview of current research on generative AI use in the context of sexual health and behaviors. Recent Findings The review includes 88 peer-reviewed English language publications from 2020 to 2024 that report on 106 studies and address four main areas of AI use in sexual health and behaviors among the general population: (1) People use AI tools such as ChatGPT to obtain sexual information and education. We identified k = 14 publications that evaluated the quality of AI-generated sexual health information. They found high accuracy and completeness. (2) People use AI tools such as ChatGPT and dedicated counseling/therapy chatbots to solve their sexual and relationship problems. We identified k = 16 publications providing empirical results on therapists’ and clients’ perspectives and AI tools’ therapeutic capabilities with mixed but overall promising results. (3) People use AI tools such as companion and adult chatbots (e.g., Replika) to experience sexual and romantic intimacy. We identified k = 22 publications in this area that confirm sexual and romantic gratifications of AI conversational agents, but also point to risks such as emotional dependence. (4) People use image- and video-generating AI tools to produce pornography with different sexual and non-sexual motivations. We found k = 36 studies on AI pornography that primarily address the production, uses, and consequences of – as well as the countermeasures against – non-consensual deepfake pornography. This sort of content predominantly victimizes women and girls whose faces are swapped into pornographic material and circulated without their consent. Research on ethical AI pornography is largely missing. Summary Generative AI tools present new risks and opportunities for human sexuality and sexual health. More research is needed to better understand the intersection of GenAI and sexuality in order to a) help people navigate their sexual GenAI experiences, b) guide sex educators, counselors, and therapists on how to address and incorporate AI tools into their professional work, c) advise AI developers on how to design tools that avoid harm, d) enlighten policymakers on how to regulate AI for the sake of sexual health, and e) inform journalists and knowledge workers on how to report about AI and sexuality in an evidence-based manner.

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Real is the new sexy: the influence of perceived realness on self-reported arousal to sexual visual stimuli

Cited by 2 publications

References 43 publications

Moral inferences from androgynous faces are beyond categorical uncertainty: Evidence of a positive bias towards androgynous targets

Moral inferences from androgynous faces are beyond categorical uncertainty: Evidence of a positive bias towards androgynous targets

The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024

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