create a graphical abstract of these concepts: \item \textbfUser Persona (ca. 1999) refers to a fictional character created to represent a specific group of people (segment) who share common characteristics and behaviors \citecooper2003inmates. \item \textbfQuantitative Persona (ca. 2006) is a persona generated using quantitative data, such as surveys from customers or users, to better represent target segments \citemulder_user_2006. \item \textbfData-driven Persona (ca. 2008) is a persona developed based on quantitative data from real people, like users or customers. This data is typically processed through statistical methods, including machine learning, to create more accurate persona profiles \citemcginn_data-driven_2008. \item \textbfAutomatic Persona Generation (ca. 2016) refers to the use of software to automate the process of creating personas by automatically collecting and analyzing user analytics data, often using algorithms to enrich this data \citejun2017using. This is also known as an \textbfalgorithmically generated persona \citesalminen_intentionally_2022. \item \textbfAI-generated Persona (ca. 2024) is a broad term for personas created with the help of AI technologies. Initially, AI in this context referred to techniques like clustering analysis \citebrickey_comparing_2012, but it now increasingly refers to the use of Generative AI (GenAI) \citeshin_understanding_2024. When personas are created using large language models (LLMs), they are referred to as \textbfLLM-generated personas \citesalminen_deus_2024.