Generative Data Representations to Improve Free-Text Answers in Online Qualitative Surveys

Citizen science initiatives have increased in recent years. For qualitative approaches in citizen science projects, online surveys have the potential to facilitate crowdsourcing data collection. However, such surveys often suffer from low response rates and suboptimal data quality. Although many studies have assessed how to improve response rates and overall answer quality, they follow traditional methodologies that have not reached the desired impact. We propose a creative computing approach to enhance participants' engagement through real-time visual feedback of their input in open questions. Our system focuses on Human-Computer Interaction (HCI), aiming to create a novel and compelling user experience that encourages participation. In this paper, we describe the key features of our approach and present preliminary design results.