{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T07:09:19Z","timestamp":1780470559834,"version":"3.54.1"},"publisher-location":"Cham","reference-count":52,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032260505","type":"print"},{"value":"9783032260512","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-26051-2_10","type":"book-chapter","created":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T06:23:22Z","timestamp":1780467802000},"page":"123-140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MATCH: Engineering Transparent and\u00a0Controllable Conversational XAI Systems Through Composable Building Blocks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7996-6048","authenticated-orcid":false,"given":"Sebe","family":"Vanbrabant","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7580-8950","authenticated-orcid":false,"given":"Gustavo","family":"Rovelo Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8436-5119","authenticated-orcid":false,"given":"Davy","family":"Vanacken","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,2]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","unstructured":"Amershi, S., Begel, A., Bird, C., DeLine, R., Gall, H., Kamar, E., et\u00a0al.: Software engineering for machine learning: a case study. In: 2019 IEEE\/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), pp. 291\u2013300 (2019). https:\/\/doi.org\/10.1109\/ICSE-SEIP.2019.00042","DOI":"10.1109\/ICSE-SEIP.2019.00042"},{"key":"10_CR2","unstructured":"Anthropic: Introducing the Model Context Protocol (2024). https:\/\/www.anthropic.com\/news\/model-context-protocol"},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","volume":"58","author":"A Barredo Arrieta","year":"2020","unstructured":"Barredo Arrieta, A., D\u00edaz-Rodr\u00edguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., et al.: Explainable Artificial Intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inform. Fusion 58, 82\u2013115 (2020). https:\/\/doi.org\/10.1016\/j.inffus.2019.12.012","journal-title":"Inform. Fusion"},{"key":"10_CR4","doi-asserted-by":"publisher","unstructured":"Brie, P., Burny, N., Slu\u00ffters, A., Vanderdonckt, J.: Evaluating a large language model on searching for GUI layouts. Proc. ACM Hum.-Comput. Interact. 7(EICS) (2023). https:\/\/doi.org\/10.1145\/3593230","DOI":"10.1145\/3593230"},{"key":"10_CR5","doi-asserted-by":"publisher","unstructured":"Cal\u00f2, T., De\u00a0Russis, L.: DeepFlow: a flow-based visual programming tool for deep learning development. In: Proceedings of the 30th International Conference on Intelligent User Interfaces, IUI 025, pp. 504\u2013518. Association for Computing Machinery, New York (2025). https:\/\/doi.org\/10.1145\/3708359.3712109","DOI":"10.1145\/3708359.3712109"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Chernoff, H.: The use of faces to represent points in K-dimensional space Graphically. J. Am. Statist. Associa. 68(342), 361\u2013368 (1973), http:\/\/www.jstor.org\/stable\/2284077","DOI":"10.1080\/01621459.1973.10482434"},{"key":"10_CR7","doi-asserted-by":"publisher","unstructured":"Dix, A., Mayer, S., Palanque, P., Panizzi, E., Spano, L.D.: Engineering interactive systems embedding AI technologies. In: Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2023 Companion, pp. 90\u201392. Association for Computing Machinery, New York (2023). https:\/\/doi.org\/10.1145\/3596454.3597195","DOI":"10.1145\/3596454.3597195"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"Eerlings, G., Vanbrabant, S., Liesenborgs, J., Rovelo\u00a0Ruiz, G., Vanacken, D., Luyten, K.: AI-Spectra: a visual dashboard for model multiplicity to enhance informed and transparent decision-making. In: Zaina, L., Campos, J.C., Spano, D., Luyten, K., Palanque, P., van\u00a0der Veer, G., et\u00a0al. (eds.) Engineering Interactive Computer Systems. EICS 2024 International Workshops, pp. 55\u201373. Springer Nature Switzerland, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-91760-8_5","DOI":"10.1007\/978-3-031-91760-8_5"},{"issue":"4","key":"10_CR9","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.1007\/s13347-021-00477-0","volume":"34","author":"WJ von Eschenbach","year":"2021","unstructured":"von Eschenbach, W.J.: Transparency and the black box problem: why we do not trust AI. Philos. Technol. 34(4), 1607\u20131622 (2021). https:\/\/doi.org\/10.1007\/s13347-021-00477-0","journal-title":"Philos. Technol."},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/978-3-031-74627-7_22","volume-title":"Machine Learning and Principles and Practice of Knowledge Discovery in Databases","author":"M Garofalo","year":"2025","unstructured":"Garofalo, M., Fantini, A., Pellugrini, R., Pilato, G., Villari, M., Giannotti, F.: Conversational XAI: formalizing its basic design principles. In: Meo, R., Silvestri, F. (eds.) Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 295\u2013309. Springer Nature Switzerland, Cham (2025)"},{"key":"10_CR11","doi-asserted-by":"publisher","unstructured":"Green, B., Chen, Y.: The principles and limits of algorithm-in-the-loop decision making. Proc. ACM Hum.-Comput. Interact. 3(CSCW) (2019). https:\/\/doi.org\/10.1145\/3359152","DOI":"10.1145\/3359152"},{"key":"10_CR12","doi-asserted-by":"publisher","unstructured":"Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., Yang, G.Z.: XAI\u2014explainable artificial intelligence. Sci. Robot. 4(37), eaay7120 (2019). https:\/\/doi.org\/10.1126\/scirobotics.aay7120","DOI":"10.1126\/scirobotics.aay7120"},{"key":"10_CR13","doi-asserted-by":"publisher","unstructured":"He, G., Aishwarya, N., Gadiraju, U.: Is Conversational XAI all you need? human-AI decision making with a conversational XAI assistant. In: Proceedings of the 30th International Conference on Intelligent User Interfaces, IUI 2025, pp. 907\u2013924. Association for Computing Machinery, New York(2025). https:\/\/doi.org\/10.1145\/3708359.3712133","DOI":"10.1145\/3708359.3712133"},{"key":"10_CR14","unstructured":"Hu, E.J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., et\u00a0al.: LoRA: Low-Rank Adaptation of Large Language Models (2021), https:\/\/arxiv.org\/abs\/2106.09685"},{"key":"10_CR15","doi-asserted-by":"publisher","unstructured":"Hu, Q., Ma, L., Zhao, J.: DeepGraph: a pycharm tool for visualizing and understanding deep learning models. In: 2018 25th Asia-Pacific Software Engineering Conference (APSEC), pp. 628\u2013632 (2018). https:\/\/doi.org\/10.1109\/APSEC.2018.00079","DOI":"10.1109\/APSEC.2018.00079"},{"key":"10_CR16","doi-asserted-by":"publisher","unstructured":"Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., et\u00a0al.: A survey on hallucination in large language models: principles, taxonomy, challenges, and open questions. ACM Trans. Inf. Syst. 43(2) (2025). https:\/\/doi.org\/10.1145\/3703155","DOI":"10.1145\/3703155"},{"issue":"1","key":"10_CR17","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1002\/aaai.12036","volume":"43","author":"H Kautz","year":"2022","unstructured":"Kautz, H.: The Third AI Summer: AAAI Robert S Engelmore Memorial Lecture. AI Mag. 43(1), 105\u2013125 (2022). https:\/\/doi.org\/10.1002\/aaai.12036","journal-title":"AI Mag."},{"key":"10_CR18","doi-asserted-by":"publisher","unstructured":"Kieseberg, P., Weippl, E., Tjoa, A.M., Cabitza, F., Campagner, A., Holzinger, A.: Controllable AI - an alternative to trustworthiness in complex AI systems? In: Holzinger, A., Kieseberg, P., Cabitza, F., Campagner, A., Tjoa, A.M., Weippl, E. (eds.) Machine Learning and Knowledge Extraction. pp. 1\u201312. Springer Nature Switzerland, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-40837-3_1","DOI":"10.1007\/978-3-031-40837-3_1"},{"key":"10_CR19","unstructured":"Kim, B., Khanna, R., Koyejo, O.O.: Examples are not enough, learn to criticize! Criticism for Interpretability. In: Lee, D., Sugiyama, M., Luxburg, U., Guyon, I., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol.\u00a029. Curran Associates, Inc. (2016), https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2016\/file\/5680522b8e2bb01943234bce7bf84534-Paper.pdf"},{"key":"10_CR20","doi-asserted-by":"publisher","unstructured":"Kulesza, T., Burnett, M., Wong, W.K., Stumpf, S.: Principles of explanatory debugging to personalize interactive machine learning. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, IUI 2015, pp. 126\u2013137. Association for Computing Machinery, New York (2015).https:\/\/doi.org\/10.1145\/2678025.2701399","DOI":"10.1145\/2678025.2701399"},{"key":"10_CR21","doi-asserted-by":"publisher","unstructured":"Kulesza, T., Stumpf, S., Burnett, M., Kwan, I.: Tell me more? the effects of mental model soundness on personalizing an intelligent agent. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp. 1\u201310. Association for Computing Machinery, New York (2012). https:\/\/doi.org\/10.1145\/2207676.2207678","DOI":"10.1145\/2207676.2207678"},{"key":"10_CR22","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/978-3-030-65965-3_30","volume-title":"ECML PKDD 2020 Workshops","author":"M Ku\u017aba","year":"2020","unstructured":"Ku\u017aba, M., Biecek, P.: What would you ask the machine learning model? identification of user needs for model explanations based on human-model conversations. In: Koprinska, I., et al. (eds.) ECML PKDD 2020. CCIS, vol. 1323, pp. 447\u2013459. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-65965-3_30"},{"key":"10_CR23","doi-asserted-by":"publisher","unstructured":"Lim, B.Y., Dey, A.K.: Assessing demand for intelligibility in context-aware applications. In: Proceedings of the 11th International Conference on Ubiquitous Computing, UbiComp 2009, pp. 195\u2013204. Association for Computing Machinery, New York (2009). https:\/\/doi.org\/10.1145\/1620545.1620576","DOI":"10.1145\/1620545.1620576"},{"key":"10_CR24","doi-asserted-by":"publisher","unstructured":"Lim, B.Y., Dey, A.K.: Toolkit to support intelligibility in context-aware applications. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, UbiComp 2010, pp. 13\u201322. Association for Computing Machinery, New York (2010). https:\/\/doi.org\/10.1145\/1864349.1864353","DOI":"10.1145\/1864349.1864353"},{"key":"10_CR25","unstructured":"Lim, B.Y., Yang, Q., Abdul, A.M., Wang, D.: Why these explanations? selecting intelligibility types for explanation goals. In: Explainable Smart Systems Workshop at IUI (2019). https:\/\/ceur-ws.org\/Vol-2327\/IUI19WS-ExSS2019-20.pdf"},{"key":"10_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102301","volume":"106","author":"L Longo","year":"2024","unstructured":"Longo, L., Brcic, M., Cabitza, F., Choi, J., Confalonieri, R., Ser, J.D., et al.: Explainable artificial intelligence (XAI) 2.0: a manifesto of open challenges and interdisciplinary research directions. Inform. Fusion 106, 102301 (2024). https:\/\/doi.org\/10.1016\/j.inffus.2024.102301","journal-title":"Inform. Fusion"},{"key":"10_CR27","unstructured":"Lu, P., Peng, B., Cheng, H., Galley, M., Chang, K.W., Wu, Y.N., et\u00a0al.: Chameleon: plug-and-Play Compositional Reasoning with Large Language20Models. In: Proceedings of the 37th International Conference on Neural Information Processing Systems, NIPS \u201923, Curran Associates Inc., Red Hook, NY, USA (2023)"},{"key":"10_CR28","unstructured":"Lundberg, S.M., Lee, S.I.: A unified approach to interpreting model predictions. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS 2017, pp. 4768\u20134777. Curran Associates Inc., Red Hook, NY, USA (2017)"},{"key":"10_CR29","unstructured":"Luo, H., Specia, L.: From Understanding to Utilization: A Survey on Explainability for Large Language Models (2024). https:\/\/arxiv.org\/abs\/2401.12874"},{"issue":"2","key":"10_CR30","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/s12559-022-10067-7","volume":"15","author":"L Malandri","year":"2023","unstructured":"Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N.: ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. Cogn. Comput. 15(2), 613\u2013644 (2023). https:\/\/doi.org\/10.1007\/s12559-022-10067-7","journal-title":"Cogn. Comput."},{"key":"10_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2025.114402","volume":"191","author":"D Martens","year":"2025","unstructured":"Martens, D., Hinns, J., Dams, C., Vergouwen, M., Evgeniou, T.: Tell me a story! narrative-driven XAI with large language models. Decis. Support Syst. 191, 114402 (2025). https:\/\/doi.org\/10.1016\/j.dss.2025.114402","journal-title":"Decis. Support Syst."},{"key":"10_CR32","unstructured":"Mavrepis, P., Makridis, G., Fatouros, G., Koukos, V., Separdani, M.M., Kyriazis, D.: XAI for All: Can Large Language Models Simplify Explainable AI? (2024). https:\/\/arxiv.org\/abs\/2401.13110"},{"key":"10_CR33","doi-asserted-by":"publisher","unstructured":"Mohseni, S., Zarei, N., Ragan, E.D.: A multidisciplinary survey and framework for design and evaluation of explainable AI systems. ACM Trans. Interact. Intell. Syst. 11(3\u20134) (2021). https:\/\/doi.org\/10.1145\/3387166","DOI":"10.1145\/3387166"},{"key":"10_CR34","doi-asserted-by":"publisher","unstructured":"Mothilal, R.K., Sharma, A., Tan, C.: Explaining machine learning classifiers through diverse counterfactual explanations. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, FAT* 2020, pp. 607\u2013617. Association for Computing Machinery, New York (2020). https:\/\/doi.org\/10.1145\/3351095.3372850","DOI":"10.1145\/3351095.3372850"},{"key":"10_CR35","doi-asserted-by":"publisher","unstructured":"tterer, J., Seifert, C.: From black boxes to conversations: incorporating XAI in a conversational agent. In: Longo, L. (ed.) Explainable Artificial Intelligence, pp. 71\u201396. Springer Nature Switzerland, Cham (2023) . https:\/\/doi.org\/10.1007\/978-3-031-44070-0_4","DOI":"10.1007\/978-3-031-44070-0_4"},{"key":"10_CR36","unstructured":"Nielsen, J.: AI: First New UI Paradigm in 60 Years (2023). https:\/\/www.nngroup.com\/articles\/ai-paradigm\/"},{"issue":"1","key":"10_CR37","first-page":"169","volume":"11","author":"D Opitz","year":"1999","unstructured":"Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. J. Artif. Int. Res. 11(1), 169\u2013198 (1999)","journal-title":"J. Artif. Int. Res."},{"key":"10_CR38","unstructured":"Parisi, A., Zhao, Y., Fiedel, N.: TALM: Tool Augmented Language Models (2022). https:\/\/arxiv.org\/abs\/2205.12255"},{"key":"10_CR39","doi-asserted-by":"crossref","unstructured":"Perez, E., Strub, F., de\u00a0Vries, H., Dumoulin, V., Courville, A.: FiLM: visual reasoning with a general conditioning layer. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence, AAAI 2018\/IAAI 2018\/EAAI 2018, AAAI Press (2018)","DOI":"10.1609\/aaai.v32i1.11671"},{"key":"10_CR40","doi-asserted-by":"publisher","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: \"Why should i trust you?\": explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2016, pp. 1135\u20131144. Association for Computing Machinery, New York (2016). https:\/\/doi.org\/10.1145\/2939672.2939778","DOI":"10.1145\/2939672.2939778"},{"issue":"8","key":"10_CR41","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1038\/s42256-023-00692-8","volume":"5","author":"D Slack","year":"2023","unstructured":"Slack, D., Krishna, S., Lakkaraju, H., Singh, S.: Explaining machine learning models with interactive natural language conversations using TalkToModel. Nat. Mach. Intell. 5(8), 873\u2013883 (2023). https:\/\/doi.org\/10.1038\/s42256-023-00692-8","journal-title":"Nat. Mach. Intell."},{"key":"10_CR42","unstructured":"Stumpf, S., et\u00a0al.: Engineering safe and trustworthy AI: the participatory harm auditing workbenches and methodologies (PHAWM) project. In: Workshop on Engineering Interactive Systems Embedding AI Technologies at EICS (2025)"},{"key":"10_CR43","doi-asserted-by":"publisher","unstructured":"Sur\u00eds, D., Menon, S., Vondrick, C.: ViperGPT: visual inference via python execution for reasoning. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 11854\u201311864 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.01092","DOI":"10.1109\/ICCV51070.2023.01092"},{"key":"10_CR44","unstructured":"Thys, J., Vanacken, D., Rovelo\u00a0Ruiz, G.: Improving AI text classification: a cascaded approach. In: Workshop on Engineering Interactive Systems Embedding AI Technologies at EICS (2025)"},{"key":"10_CR45","doi-asserted-by":"publisher","unstructured":"Vanbrabant, S., Eerlings, G., Rovelo\u00a0Ruiz, G., Vanacken, D.: ECHO: enhancing conversational explainable AI through tool-augmented language models. Proc. ACM Hum.-Comput. Interact. 9(4) (2025). https:\/\/doi.org\/10.1145\/3734191","DOI":"10.1145\/3734191"},{"key":"10_CR46","unstructured":"Vanbrabant, S., Rovelo\u00a0Ruiz, G., Vanacken, D.: Composable building blocks for controllable and transparent interactive AI systems. In: Workshop on Engineering Interactive Systems Embedding AI Technologies at EICS (2025). https:\/\/arxiv.org\/abs\/2506.02262"},{"key":"10_CR47","doi-asserted-by":"crossref","unstructured":"Wachter, S., Mittelstadt, B., Russell, C.: Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR (2018). https:\/\/arxiv.org\/abs\/1711.00399","DOI":"10.2139\/ssrn.3063289"},{"issue":"2","key":"10_CR48","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1109\/TPAMI.2024.3483273","volume":"47","author":"W Wang","year":"2025","unstructured":"Wang, W., Yang, Y., Wu, F.: Towards data-and knowledge-driven ai: a survey on neuro-symbolic computing. IEEE Trans. Pattern Anal. Mach. Intell. 47(2), 878\u2013899 (2025). https:\/\/doi.org\/10.1109\/TPAMI.2024.3483273","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR49","doi-asserted-by":"publisher","unstructured":"Wang, Z.J., Zhong, C., Xin, R., Takagi, T., Chen, Z., Chau, D.H., et\u00a0al.: TimberTrek: exploring and curating sparse decision trees with interactive visualization. In: 2022 IEEE Visualization and Visual Analytics (VIS), pp. 60\u201364 (2022). https:\/\/doi.org\/10.1109\/VIS54862.2022.00021","DOI":"10.1109\/VIS54862.2022.00021"},{"issue":"1","key":"10_CR50","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/TVCG.2019.2934619","volume":"26","author":"J Wexler","year":"2020","unstructured":"Wexler, J., Pushkarna, M., Bolukbasi, T., Wattenberg, M., Vi\u00e9gas, F., Wilson, J.: The what-if tool: interactive probing of machine learning models. IEEE Trans. Visual Comput. Graphics 26(1), 56\u201365 (2020). https:\/\/doi.org\/10.1109\/TVCG.2019.2934619","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"10_CR51","doi-asserted-by":"publisher","unstructured":"Xu, X., Yu, A., Jonker, T.R., Todi, K., Lu, F., Qian, X., et\u00a0al.: XAIR: a framework of explainable ai in augmented reality. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Association for Computing Machinery, New York (2023). https:\/\/doi.org\/10.1145\/3544548.3581500","DOI":"10.1145\/3544548.3581500"},{"key":"10_CR52","doi-asserted-by":"publisher","unstructured":"Ziegler, J.: Challenges in integrating conversational AI and GUI-based applications. In: Zaina, L., Campos, J.C., Spano, D., Luyten, K., Palanque, P., van\u00a0der Veer, G., et\u00a0al. (eds.) Engineering Interactive Computer Systems. EICS 2024 International Workshops, pp. 159\u2013170. Springer Nature Switzerland, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-91760-8_11","DOI":"10.1007\/978-3-031-91760-8_11"}],"container-title":["Lecture Notes in Computer Science","Engineering Interactive Computer Systems. EICS 2025 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-26051-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T06:23:32Z","timestamp":1780467812000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-26051-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032260505","9783032260512"],"references-count":52,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-26051-2_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"EICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Engineering Interactive Computer Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trier","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eics2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eics.acm.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}