Haptic Lingerie Utilizes AI to Customize Erotic Experiences Based on User’s Touch

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Designer Summer Chen, a student at the Royal College of Art, has developed a unique system that combines artificial intelligence (AI) with sensor-embedded lingerie to create an innovative touch-to-text erotica generator. Chen’s project, called Enigma, involves a set of lingerie embedded with haptic sensors that capture data on a person’s touch, including the location, duration, and pressure. This data is then converted into textual prompts and sent to an AI-powered chatbot called ChatGPT, which uses the sequence of events to generate a short and intimate fantasy story.

Chen’s inspiration for Enigma came from her desire to create something that would help post-menopausal women rediscover their bodies. Over time, her focus expanded to the broader concept of self-intimacy. Chen sees erotica as a tool for self-empowerment and exploration, and AI as the perfect collaborator to quickly transform somatic input into unique narratives. The use of AI also ensures user privacy and ownership, allowing individuals to relax and explore their sensuality.

To bring Enigma to life, Chen designed an interface that interprets touch data from the lingerie and categorizes it based on type, duration, and intensity. This information is then used to generate textual prompts for ChatGPT. For example, a touch prompt like “I was touched for just a moment with incredible strength on my right breast” can be incorporated into a scene where the protagonist’s lover “pulls my robe aside and touches me out of nowhere, intensely on my right breast.”

Chen believes that Enigma democratizes the production of erotica, providing a channel for people who may not feel comfortable writing or expressing their sexuality to do so creatively. She also finds AI to be an excellent tool for this work, as it generates unique and meaningful outputs based on relatively sparse prompts. In her testing, Chen discovered that less descriptive prompts led to more creative stories. Overly prescribed prompts often resulted in boring and robotic narratives.

However, Chen also noticed some biases and limitations in ChatGPT during the testing process. The chatbot mostly generated stories from a female perspective, focused on heterosexual content, and included other people besides the protagonist. Additionally, ChatGPT had restrictions on sexually explicit language that had to be worked around. Given the time and resources, Chen would craft her own machine-learning model to address these limitations.

Chen hopes that Enigma will contribute to a paradigm shift in human-to-AI interaction and challenge perceptions of AI’s “coldness.” She sees AI as a diverse tool that can serve various humanistic purposes and wants to highlight projects that demonstrate this potential. Additionally, Chen believes that Enigma could have therapeutic applications, assisting survivors of sexual trauma or breast cancer.

This project adds to the growing trend of student designers taking a creative approach to sex toys. Other examples include Dmytro Nikiforchuk’s Dotyk toys for the elderly and Coby Huang’s Rituals of Sexual Pleasure series, which incorporates wood and wool as materials.

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