Which one are YOU? The 4 personality types all ChatGPT users fall into

"Scientists have uncovered four entirely new personality types that all ChatGPT users fall into. According to experts from the University of Oxford and the Berlin University Alliance, every chatbot user has a unique personality type, each with their own motivations. Some truly tech-savvy users fall into the category of ' AI enthusiasts'. At the very other end of the enthusiasm scale, someone just 'dipping a toe' into the world of AI would be a 'reserved explorer'."

"Lead author Dr Christoph Gerling, of the Humboldt Institute for Internet and Society, says: 'Using AI feels intuitive, but mastering it requires exploration, prompting skills and learning through experimentation. This makes the "task-technology fit" more dependent on the individual than ever before.' So, which AI personality type are you? In their study, the researchers analysed 344 early users within the first four months of ChatGPT's public release on November 30, 2020."

"These users made up 25.6 per cent of the participants, and are 'highly engaged and seek both productivity and social benefits of modern-day AI'. AI enthusiasts tend to strongly agree that AI has practical benefits, but are also the only group to note a 'perceived social presence' while talking to a chatbot. This means that they tend to 'recognise and treat AI tools as real people' that can satisfy a need for social connection and bonding."

Analysis of 344 early ChatGPT users within four months of public release categorized users into four distinct personality types: AI enthusiasts, reserved explorers, curious adopters and naive pragmatists. AI enthusiasts (25.6%) are highly engaged, seek productivity and social benefits, and report a perceived social presence when interacting with chatbots. Reserved explorers are tentative newcomers who dip a toe into AI. Curious adopters constantly weigh potential benefits and drawbacks. Naive pragmatists prioritize results and convenience above experimentation. Using AI feels intuitive, but mastering it requires exploration, prompting skills and iterative learning, making task-technology fit highly dependent on individual differences.

Read at Mail Online