The Promise of Query Answering Systems in Sexuality Studies: Current State, Challenges and Limitations

Andrea Morales-Garzón, Gracia M. Sánchez-Pérez, Juan Carlos Sierra, María J. Martín-Bautista

Abstract: Sexuality is a field of study that attempts to comprehend human behaviour, improve sexual health and understand culture and gender, among others. Recent advances and developments in artificial intelligence, specifically in query answering and natural language processing, can help to study the social relationship between population and sexuality. They are powerful tools to cope with crucial problems in the field, such as subjectivity, social desirability and social opinion biases. In this work, we review the state-of-the-art of AI-based methods in sexuality-related studies. Focusing on the psychological perspective, we analyse the role of query answering in this area of research. We discuss the necessary foundations, challenges, and limitations a query answering system must cover in this specialised and complex field.