20.500.12556/RUP-22574 Inferring a Mobile User’s Valence and Arousal through On-Screen Text Analysis Understanding a user’s emotional state is critical for building adaptive and intelligent mobile applications. In this paper we investigate the feasibility of inferring valence and arousal from the text displayed on smartphone screens. We developed AV-Sense, a mobile application that combines the Experience Sampling Method, a technique that prompts users to report their feelings in the moment, with passive screentext logging. In a two-week study with 12 participants, we collected 787 ESM responses and over 650,000 screentext entries. Data analysis revealed meaningful temporal and individual patterns in reported affect. We then explored the use of large language models to predict valence and arousal from screentext, but results indicated limited predictive power in this setting. Our findings highlight both the potential and current challenges of screentext-based affect inference, laying the groundwork for future research on emotion-aware applications and naturalistic psychological studies. text analysis experience sampling method screentext sensing valence arousal large language models true false false Založba Univerze na Primorskem Angleški jezik Angleški jezik Delo ni kategorizirano 2026-01-30 09:56:32 2026-01-30 09:56:32 2026-02-20 10:33:27 0000-00-00 00:00:00 2025 0 Koper 0 Str. 171-180 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 9789612935597 https://doi.org/10.26493/978-961-293-559-7.16 267154947 ZUP_Dzubur_Edita_2025.pdf ZUP_Dzubur_Edita_2025.pdf 1 8FC8D7BBAF9843573AB55EB5288C0659 f29d64460d84df1998adce10da6ac24a6bb6044e04c26d4083f1fc258e5ad1a3 dd04a067-fdb9-11f0-b092-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=32836 Založba Univerze na Primorskem 0 0 0