{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T18:48:09Z","timestamp":1766083689452,"version":"3.48.0"},"reference-count":136,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda??o para a Ci?ncia e a Tecnologia","doi-asserted-by":"publisher","award":["2024.07501.IACDC"],"award-info":[{"award-number":["2024.07501.IACDC"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda??o para a Ci?ncia e a Tecnologia","doi-asserted-by":"publisher","award":["FCT UIDB\/04152\/2020"],"award-info":[{"award-number":["FCT UIDB\/04152\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100031478","name":"NextGenerationEU","doi-asserted-by":"publisher","award":["C645192610-00000060"],"award-info":[{"award-number":["C645192610-00000060"]}],"id":[{"id":"10.13039\/100031478","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3638950","type":"journal-article","created":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T18:44:00Z","timestamp":1764355440000},"page":"208902-208931","source":"Crossref","is-referenced-by-count":0,"title":["Talking to Data: A Systematic Review of the Rise of Conversational Agents for Visual Analytics"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6314-0192","authenticated-orcid":false,"given":"Mafalda","family":"Martins","sequence":"first","affiliation":[{"name":"NOVA Information Management School, Universidade NOVA de Lisboa, Campus de Campolide, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6232-2115","authenticated-orcid":false,"given":"Bruno","family":"Jardim","sequence":"additional","affiliation":[{"name":"NOVA Information Management School, Universidade NOVA de Lisboa, Campus de Campolide, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7265-3890","authenticated-orcid":false,"given":"Miguel","family":"De Castro Neto","sequence":"additional","affiliation":[{"name":"NOVA Information Management School, Universidade NOVA de Lisboa, Campus de Campolide, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9533-3419","authenticated-orcid":false,"given":"Andr\u00e9","family":"Barriguinha","sequence":"additional","affiliation":[{"name":"NOVA Information Management School, Universidade NOVA de Lisboa, Campus de Campolide, Lisbon, Portugal"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/icoabcd59879.2023.10390973"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209357"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3274199"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2020.3030378"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2021.3114848"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3148007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2024.3368621"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539330"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2019.2934668"},{"key":"ref10","article-title":"AI4VIS: Survey on artificial intelligence approaches for data visualization","author":"Wu","year":"2021","journal-title":"arXiv:2102.01330"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302270"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457261"},{"volume-title":"LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics Using Large Language Models","year":"2023","author":"Dibia","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref15","article-title":"Code llama: Open foundation models for code","author":"Rozi\u00e8re","year":"2024","journal-title":"arXiv:2308.12950"},{"key":"ref16","article-title":"WizardCoder: Empowering code large language models with evol-instruct","author":"Luo","year":"2025","journal-title":"arXiv:2306.08568"},{"key":"ref17","article-title":"DeepSeek-coder: When the large language model meets programming\u2014The rise of code intelligence","author":"Guo","year":"2024","journal-title":"arXiv:2401.14196"},{"key":"ref18","article-title":"Magicoder: Empowering code generation with OSS-instruct","author":"Wei","year":"2024","journal-title":"arXiv:2312.02120"},{"key":"ref19","article-title":"Emergent abilities of large language models","author":"Wei","year":"2022","journal-title":"arXiv:2206.07682"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.n71"},{"volume-title":"Document Search\u2014Web of Science Core Collection","year":"2025","key":"ref21"},{"volume-title":"Scopus Preview\u2014Scopus\u2014Welcome to Scopus","year":"2025","key":"ref22"},{"journal-title":"IEEE Xplore: Advanced Search","year":"2025","key":"ref23"},{"volume-title":"ACM Digital Library","year":"2025","key":"ref24"},{"issue":"1","key":"ref25","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2307\/2529310","article-title":"The measurement of observer agreement for categorical data","volume":"33","author":"Landis","year":"1977","journal-title":"Biometrics"},{"volume-title":"Free Online Spreadsheet Software: Excel|Microsoft 365","year":"2025","key":"ref26"},{"volume-title":"Power BI\u2014Data Visualization | Microsoft Power Platform","year":"2025","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2021.04.070"},{"volume-title":"VOSviewer\u2014Visualizing Scientific Landscapes","year":"2025","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3464383"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btad606"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2023.2278895"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/icws60048.2023.00092"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-industry.59"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3543873.3587309"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-demo.5"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3640794.3665577"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-70816-9_15"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/vis55277.2024.00032"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.14778\/3685800.3685905"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/icde60146.2024.00420"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi13100348"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/energyvis63885.2024.00007"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3698587.3701392"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2024.3496112"},{"volume-title":"MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization","year":"2024","author":"Yang","key":"ref46"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/mdm61037.2024.00061"},{"key":"ref48","article-title":"PhenoFlow: A human-LLM driven visual analytics system for exploring large and complex stroke datasets","author":"Kim","year":"2024","journal-title":"arXiv:2407.16329"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3665939.3665962"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.52842\/conf.acadia.2024.2.457"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/bigdata62323.2024.10825517"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676374"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2025.3544173"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3706468.3706491"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/csicc55295.2022.9780490"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/dtpi61353.2024.10778677"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/icitiit61487.2024.10580129"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/icoici62503.2024.10696623"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ialp63756.2024.10661162"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2025.03.022"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3549529"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.acags.2024.100218"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3712335.3712410"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3654992"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3708635.3708655"},{"volume-title":"TPMAP: A Data Analytics and Visualization Platform to Support Thailand Target Poverty Alleviation Programs | Request PDF","year":"2025","key":"ref66"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/isai-nlp51646.2020.9376833"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/vis54862.2022.00010"},{"volume-title":"Process Intelligence and Process Mining | Celonis","year":"2025","key":"ref69"},{"volume-title":"Building process mining dashboards manually or AI-assisted with celonis views","year":"2024","author":"Ullrich","key":"ref70"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/bigdata59044.2023.10386589"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/bigdata62323.2024.10826038"},{"volume-title":"MATLAB","year":"2025","key":"ref73"},{"volume-title":"Notepad+$","year":"2025","key":"ref74"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/s42486-023-00144-7"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2024.3368060"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/icce-taiwan62264.2024.10674281"},{"volume-title":"Grafana: The Open and Composable Observability Platform | Grafana Labs","year":"2025","key":"ref78"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1038\/s41587-023-01972-9"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaf079"},{"volume-title":"Pandas\u2014Python Data Analysis Library","year":"2025","key":"ref81"},{"volume-title":"PostgreSQL: The World\u2019s Most Advanced Open Source Database","year":"2025","key":"ref82"},{"volume-title":"SQLite Home Page","year":"2025","key":"ref83"},{"volume-title":"TiDB, Powered by PingCAP","year":"2025","key":"ref84"},{"volume-title":"Neo4j Graph Database & Analytics | Graph Database Management System","year":"2025","key":"ref85"},{"volume-title":"Qdrant\u2014Vector Database\u2014Qdrant","year":"2025","key":"ref86"},{"volume-title":"Welcome to Faiss Documentation\u2014Faiss Documentation","year":"2025","key":"ref87"},{"volume-title":"Conversational AI Platform | Superior Customer Experiences Start Here","year":"2025","key":"ref88"},{"volume-title":"SpaCy Industrial-Strength Natural Language Processing in Python","year":"2025","key":"ref89"},{"volume-title":"Scikit-Learn: Machine Learning in Python\u2014Scikit-Learn 1.7.0 Documentation","year":"2025","key":"ref90"},{"volume-title":"NLTK?: Natural Language Toolkit","year":"2025","key":"ref91"},{"volume-title":"Introducing Whisper | OpenAI","year":"2025","key":"ref92"},{"volume-title":"VOSK Offline Speech Recognition API","year":"2025","key":"ref93"},{"volume-title":"Welcome To Flask\u2014Flask Documentation (3.1.X)","year":"2025","key":"ref94"},{"volume-title":"FastAPI","year":"2025","key":"ref95"},{"volume-title":"Node.js\u2014Run JavaScript Everywhere","year":"2025","key":"ref96"},{"volume-title":"The Progressive JavaScript Framework | Vue.js","year":"2025","key":"ref97"},{"volume-title":"Home O Angular","year":"2025","key":"ref98"},{"volume-title":"React","year":"2025","key":"ref99"},{"volume-title":"Streamlit O A Faster Way to Build and Share Data Apps","year":"2025","key":"ref100"},{"volume-title":"Overview\u2014Chainlit","year":"2025","key":"ref101"},{"volume-title":"BESSER Bot Framework (BBF) 1.0.0","year":"2025","key":"ref102"},{"volume-title":"Matplotlib\u2014Visualization With Python","year":"2025","key":"ref103"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.21105\/joss.03021"},{"volume-title":"Data Apps for Production | Plotly","year":"2025","key":"ref105"},{"volume-title":"Vega-Altair: Declarative Visualization in Python\u2014Vega-Altair 5.5.0 Documentation","year":"2025","key":"ref106"},{"volume-title":"Leaflet\u2014A JavaScript Library for Interactive Maps","year":"2025","key":"ref107"},{"volume-title":"Folium\u2014Folium 0.20.0 Documentation","year":"2025","key":"ref108"},{"volume-title":"PyQGIS Developer Cookbook\u2014QGIS Documentation Documentation","year":"2025","key":"ref109"},{"volume-title":"Vega","year":"2025","key":"ref110"},{"volume-title":"LangChain","year":"2025","key":"ref111"},{"volume-title":"LangGraph","year":"2025","key":"ref112"},{"volume-title":"LangSmith","year":"2025","key":"ref113"},{"volume-title":"LlamaIndex\u2014Build Knowledge Assistants Over Your Enterprise Data","year":"2025","key":"ref114"},{"volume-title":"Python in Excel Alternative: Open. Self-Hosted. No Limits","year":"2025","key":"ref115"},{"volume-title":"Install MATLAB Engine API for Python\u2014MATLAB & Simulink","year":"2025","key":"ref116"},{"volume-title":"Welcome to Pydantic\u2014Pydantic","year":"2025","key":"ref117"},{"volume-title":"Docker: Accelerated Container Application Development","year":"2025","key":"ref118"},{"volume-title":"OpenAI","year":"2025","key":"ref119"},{"volume-title":"GPT-4 | OpenAI","year":"2025","key":"ref120"},{"volume-title":"Google Gemini","year":"2025","key":"ref121"},{"volume-title":"Introducing ChatGPT | OpenAI","year":"2025","key":"ref122"},{"volume-title":"Model\u2014OpenAI API","year":"2025","key":"ref123"},{"volume-title":"Introducing GPT-4o and More Tools to ChatGPT Free Users | OpenAI","year":"2025","key":"ref124"},{"volume-title":"Hello GPT-4o | OpenAI","year":"2025","key":"ref125"},{"volume-title":"GPT-4O Mini: Advancing Cost-Efficient Intelligence | OpenAI","year":"2025","key":"ref126"},{"volume-title":"GPT-3 Powers the Next Generation of Apps | OpenAI","year":"2025","key":"ref127"},{"volume-title":"Model\u2014OpenAI API","year":"2025","key":"ref128"},{"volume-title":"Codex | OpenAI","year":"2025","key":"ref129"},{"volume-title":"Industry Leading, Open-Source AI | Llama By Meta","year":"2025","key":"ref130"},{"volume-title":"Vicuna: An Open-Source Chatbot Impressing GPT-4 With 90%* ChatGPT Quality","year":"2025","key":"ref131"},{"volume-title":"FLAN-T5","year":"2025","key":"ref132"},{"volume-title":"RoBERTa","year":"2025","key":"ref133"},{"volume-title":"Introducing Claude 3.5 Sonnet \\ Anthropic","year":"2025","key":"ref134"},{"volume-title":"GitHub\u2014H2OAI\/H2O-3: H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM With Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), Etc","year":"2025","key":"ref135"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2017.1380080"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11271508.pdf?arnumber=11271508","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T18:35:08Z","timestamp":1766082908000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11271508\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":136,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3638950","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}