{"id":985,"date":"2024-08-01T11:37:41","date_gmt":"2024-08-01T08:37:41","guid":{"rendered":"https:\/\/acua.qcri.org\/blog\/?p=985"},"modified":"2024-08-01T11:37:41","modified_gmt":"2024-08-01T08:37:41","slug":"how-could-natural-language-processing-help-address-grand-challenges-of-quantitative-user-personas","status":"publish","type":"post","link":"https:\/\/acua.qcri.org\/blog\/how-could-natural-language-processing-help-address-grand-challenges-of-quantitative-user-personas\/","title":{"rendered":"How Could Natural Language Processing Help Address Grand Challenges of Quantitative User Personas"},"content":{"rendered":"

 <\/p>\n

\"How
How Could Natural Language Processing Help Address Grand Challenges of Quantitative User Personas<\/a><\/figcaption><\/figure>\n

Human-computer interaction (HCI) and natural language processing (NLP) can collaborate.<\/p>\n

This article summarizes previous literature to identify grand challenges for applying 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.<\/p>\n

NLP research could also benefit from focusing on generating user personas by introducing new solutions to specific NLP tasks, such as classification and generation.<\/p>\n

We also discuss the novel opportunities introduced by Generative AI to address the grand challenges, offering illustrative examples.<\/p>\n

Read the research!<\/p>\n

Salminen, J., Jung, S.G., Almerekhi, H., Cambria, E., and\u00a0Jansen, B. J.\u00a0(2023)\u00a0How Could Natural Language Processing Help Address Grand Challenges of Quantitative User Personas<\/a>. In: Stephanidis C. et al. (eds) HCI International 2021. HCII 2023. Lecture Notes in Computer Science, p. 211\u2013231.<\/p>\n

Jansen, B. J., Jung, S.G., and Salminen, J. (2023)\u00a0Employing Large Language Models in Survey Research<\/a>.\u00a0Natural Language Processing Journal<\/u>. 4, 100020.<\/p>\n","protected":false},"excerpt":{"rendered":"

  Human-computer interaction (HCI) and natural language processing (NLP) can collaborate. This article summarizes previous literature to identify grand challenges for applying 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… Continue reading How Could Natural Language Processing Help Address Grand Challenges of Quantitative User Personas<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[99,2,57],"tags":[],"yoast_head":"\nHow Could Natural Language Processing Help Address Grand Challenges of Quantitative User Personas - Team Acua<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/acua.qcri.org\/blog\/how-could-natural-language-processing-help-address-grand-challenges-of-quantitative-user-personas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Could Natural Language Processing Help Address Grand Challenges of Quantitative User Personas - Team Acua\" \/>\n<meta property=\"og:description\" content=\"  Human-computer interaction (HCI) and natural language processing (NLP) can collaborate. This article summarizes previous literature to identify grand challenges for applying 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. 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