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A Human-Centered AI lens is used to conduct a systematic literature review of 359 papers, mapping the landscape, trends, and unmet UX needs. Analysis via the Double Diamond framework finds empathy-building and cross-screen experiences are often overlooked, while simplistic automation and single-screen focus reduce practical value. Calls are made for UX mindsets and designer-centric datasets and evaluation metrics.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/ai-assistance-for-ux-a-literature-review-through-human-centered-ai/657760/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/ai-assistance-for-ux-a-literature-review-through-human-centered-ai/657760.png","ImageObject",300,407,{"name":92,"@type":93},"mieayamfan","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-26",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What gap does the literature review address about AI support for UX?","Question",{"text":112,"@type":113},"Mainstream adoption of AI-enabled UX tools is limited, and the review synthesizes evidence to identify current landscape, trends, and UX practitioners’ unmet needs.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What did the Double Diamond guided analysis reveal?",{"text":117,"@type":113},"UX practitioners’ key focuses—especially empathy building and experiences spanning multiple UI screens—are frequently overlooked, reducing the effectiveness of existing support.",{"name":119,"@type":110,"acceptedAnswer":120},"Why can simplistic AI automation be harmful for UX design support?",{"text":121,"@type":113},"Simplistic automation can obstruct the empathy-building process, and focusing only on individual UI screens without considering interactions and user flows diminishes practical value for UX designers.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},657760,1792988222,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144},962090893677,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","AI Assistance for UX: A Literature Review Through  \nHuman-Centered AI  \nYuwen Lu  \nUniversity of Notre Dame Notre Dame, IN, USA[ylu23@nd.edu](ylu23@nd.edu)  \nYuewen Yang Cornell University New York, NY, USA [yy2228@cornell.edu](yy2228@cornell.edu)  \nQinyi Zhao  \nUniversity of Washington Seattle, WA, USA [qyzhao@uw.edu](qyzhao@uw.edu)  \narXiv :2402 .06089v2 [ cs .HC] 13 Feb 2024  \nChengzhi Zhang  \nGeorgia Institute of Technology Atlanta, GA, USA[czhang694@gatech.edu](czhang694@gatech.edu)  \nABSTRACT  \nRecent advancements in HCI and AI research attempt to support user experience (UX) practitioners with AI-enabled tools. Despite the potential of emerging models and new interaction mechanisms, mainstream adoption of such tools remains limited. We took the lens of Human-Centered AI and presented a systematic literature review of 359 papers, aiming to synthesize the current landscape, identify trends, and uncover UX practitioners’ unmet needs in AI support. Guided by the Double Diamond design framework, our analysis uncovered that UX practitioners’ unique focuses on empathy building and experiences across UI screens are often overlooked. Simplistic AI automation can obstruct the valuable empathy-building process. Furthermore, focusing solely on individual UI screens without considering interactions and user flows reduces the system’s practical value for UX designers. Based on these findings, we call for a deeper understanding of UX mindsets and more designer-centric datasets and evaluation metrics, for HCI and AI communities to collaboratively work toward effective AI support for UX.  \nCCS CONCEPTS  \n• General and reference → Surveys and overviews; • Humancentered computing → HCI design and evaluation methods; Interaction design process and methods; Empirical studies in interaction design; Systems and tools for interaction design.  \nKEYWORDS  \nliterature review, UX design, human-centered AI, design support tools  \nACM Reference Format:  \nYuwen Lu, Yuewen Yang, Qinyi Zhao, Chengzhi Zhang, and Toby Jia-Jun Li.  \n2024. AI Assistance for UX: A Literature Review Through Human-Centered AI. In Proceedings of ACM Conference (Conference’17). ACM, New York, NY, USA, 23 pages. [https://doi.org/XXXXXXX.XXXXXXX](https://doi.org/XXXXXXX.XXXXXXX)  \nPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions [from permissions@acm.org](from permissions@acm.org).  \nConference’17, July 2017, Washington, DC, USA © 2024 Association for Computing Machinery.  \nACM ISBN 978-x-xxxx-xxxx-x/YY/MM. . . $15.00 [https://doi.org/XXXXXXX.XXXXXXX](https://doi.org/XXXXXXX.XXXXXXX)  \nToby Jia-Jun Li University of Notre Dame  \nNotre Dame, IN, USA  \n[toby.j.li@nd.edu](toby.j.li@nd.edu)  \n1 INTRODUCTION  \nAdvancements in Artificial Intelligence (AI) enabled applications in numerous sectors, with the user experience (UX) industry being a notable potential beneficiary. AI models can facilitate processes that involve various data modalities, ranging from text-based affinity diagrams [15, 70] and user interface (UI) development codes [13, 59] to image-based UI screenshots [123, 229, 265]. The enhancements of language-based and multi-modal AI models have expanded the possibilities of applications in UX design and research [44, 45, 109] . Notably, the impressive capabilities of large-language models (LLMs) further promoted AI adoption in real applications [44] . Diffusionbased, text-to-image generative AI such as Stable Diffusion [191] and Midjourney1 also opens up new avenues for creative profe","cbCaidCcXZwfuC9o","https://ap.wps.com/l/cbCaidCcXZwfuC9o","pdf",1850636,23,"English","# Introduction\n## Human-centered AI perspective\n## Challenges in AI support for UX practitioners","[{\"question\":\"What gap does the literature review address about AI support for UX?\",\"answer\":\"Mainstream adoption of AI-enabled UX tools is limited, and the review synthesizes evidence to identify current landscape, trends, and UX practitioners’ unmet needs.\"},{\"question\":\"What did the Double Diamond guided analysis reveal?\",\"answer\":\"UX practitioners’ key focuses—especially empathy building and experiences spanning multiple UI screens—are frequently overlooked, reducing the effectiveness of existing support.\"},{\"question\":\"Why can simplistic AI automation be harmful for UX design support?\",\"answer\":\"Simplistic automation can obstruct the empathy-building process, and focusing only on individual UI screens without considering interactions and user flows diminishes practical value for UX designers.\"}]","AI Assistance for UX - A Literature Review Through Human-Centered AI | PDF",58]