@inproceedings{c02eeca2fa08437ca18578d828472386,
title = "How Can Natural Language Processing and Generative AI Address Grand Challenges of Quantitative User Personas?",
abstract = "Human-computer interaction (HCI) and natural language processing (NLP) can engage in mutually beneficial collaboration. This article summarizes previous literature to identify grand challenges for the application of NLP in quantitative user personas (QUPs), which exemplifies such collaboration. Grand challenges provide a collaborative starting point for researchers working at the intersection of NLP and QUPs, towards improved user experiences. NLP research could also benefit from focusing on generating user personas by introducing new solutions to specific NLP tasks, such as classification and generation. We also discuss the novel opportunities introduced by Generative AI to address the grand challenges, offering illustrative examples.",
keywords = "Generative AI, Natural language processing, Quantitative user personas, User personas",
author = "Joni Salminen and Jung, \{Soon gyo\} and Hind Almerekhi and Erik Cambria and Bernard Jansen",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 25th International Conference on Human-Computer Interaction, HCII 2023 ; Conference date: 23-07-2023 Through 28-07-2023",
year = "2023",
doi = "10.1007/978-3-031-48057-7\_14",
language = "English",
isbn = "9783031480560",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "211--231",
editor = "Helmut Degen and Stavroula Ntoa and Abbas Moallem",
booktitle = "HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings",
address = "Germany",
}