Human biohacking refers to the use of technology and science to manipulate and control biological systems in the human body, often with the goal of improving health and performance. This can include a wide range of activities, such as using genetic engineering to modify DNA, using brain-computer interfaces to enhance cognitive abilities, and using wearable devices to track and monitor biological functions. Human biohacking is a growing field that is helping to advance our understanding of biology and to develop new and innovative ways to improve human health and wellbeing. It is also sometimes known as "grindbio" or "DIY biology," as it often involves individuals taking an active and DIY approach to manipulating their own biology.
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Biohacking, also known as human augmentation or human improvement, is a self-made biology whose goal is to improve performance, health and well-being through strategic interventions. Some common biohacking techniques, such as meditation and intermittent fasting, have existed since ancient times. The type of biohackers currently gaining the most notoriety are those who experiment on their own bodies outside traditional laboratories and institutions in the hope of increasing their physical and cognitive performance. They form a branch of transhumanism, a movement that maintains that human beings can and should use technology to increase and evolve our species.
Also known as human enhancement, biohacking ranges from efforts to improve brain function to faster weight loss. Some types of biotricks are relatively safe to try at home, while others may pose health risks and produce varying results. Biohacking is all about optimizing human performance. By using science, advanced technologies and the enormous amount of data collected by portable devices, biohackers live up to the promise of improving health, well-being and nutrition, improving productivity and energy levels, improving the quality of sleep and optimizing physical activity.
Wearable technology is leading the way towards integrated technology, meaning researchers have extensively used the Technology Acceptance Model (TAM) to explain the factors that influence the adoption of almost all technological innovations to date. Integrated technology, often referred to as biohacking, presents a unique set of factors that require a new revision of the model. Using the theory of the diffusion of innovations, self-efficacy and social exchange, a revision of the model of acceptance of technology is proposed with additional factors such as age and gender, the self-efficacy of integrated technology, perceived risk and privacy problems to explain the adoption of technologies integrated into the human body. The data was collected through an online survey (N %3D 106) conducted with a Qualtrics panel and the results suggest that age, gender, perceived utility, perceived ease of use, the self-efficacy of embedded technology, and risk and privacy issues influence the adoption of integrated technology.
The implications for the implant industry, policy makers and researchers interested in such technology are drawn.
