Perceived stigma and erotic technology: From sex toys to erobots
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The intersection of technology and sexuality in sex toys and erobots – artificial erotic agents (e.g. sex robots) – may generate stigma with their use. However, despite the growing prevalence of technology in human sexuality, researchers have yet to examine this stigma. Hence, this study provides the first quantitative evidence of perceived stigma related to erotic technology use (PSETU) and its association with people’s willingness to engage with erotic technologies. Based on previous research, we hypothesised that PSETU exists and increases as a function of products’ human-likeness (Hypothesis 1), and negatively correlates to participants’ willingness to engage with erotic technologies (Hypothesis 2), with stronger associations for women and sex toys and stronger associations for men and erobots (Hypothesis 3). A convenience sample of 365 adults (≥18 years; with access to the recruitment material) completed an online survey measuring their PSETU for sex toys, erotic chatbots, virtual partners, and sex robots, and their willingness to engage with these technologies. The results support Hypothesis 1, and partly support Hypotheses 2–3. Women and men also perceive the same technology-related stigma. These findings are important given the prevalence of sex toys, the advent of erobots, and the potential impact of stigma on their (future) users.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it