{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T02:35:28Z","timestamp":1767839728954,"version":"3.49.0"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031746321","type":"print"},{"value":"9783031746338","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-74633-8_11","type":"book-chapter","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T23:20:15Z","timestamp":1735687215000},"page":"171-184","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["FIPER: A\u00a0Visual-Based Explanation Combining Rules and\u00a0Feature Importance"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6105-2512","authenticated-orcid":false,"given":"Eleonora","family":"Cappuccio","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0051-0604","authenticated-orcid":false,"given":"Daniele","family":"Fadda","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2039-8162","authenticated-orcid":false,"given":"Rosa","family":"Lanzilotti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4404-4147","authenticated-orcid":false,"given":"Salvatore","family":"Rinzivillo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,1]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Abdul, A.M., \u00a0Vermeulen, J., Wang, D., Lim, B.Y., Kankanhalli, M.S.: Trends and trajectories for explainable, accountable and intelligible systems: an HCI research agenda (2018). https:\/\/doi.org\/10.1145\/3173574.3174156","DOI":"10.1145\/3173574.3174156"},{"key":"11_CR2","doi-asserted-by":"publisher","unstructured":"Andrienko, N.V., Andrienko, G.L., Adilova, L., Wrobel, S., Rhyne, T.-M.: Visual analytics for human-centered machine learning. IEEE Comput. Graphics Appl. 42(1), 123\u2013133 (2022). https:\/\/doi.org\/10.1109\/MCG.2021.3130314","DOI":"10.1109\/MCG.2021.3130314"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, H.F., et al.: Explaining decision-making algorithms through UI: strategies to help non-expert stakeholders (2019). https:\/\/doi.org\/10.1145\/3290605.3300789","DOI":"10.1145\/3290605.3300789"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Chromik, M., Butz, A.: Human-xai interaction: a review and design principles for explanation user interfaces (2021). https:\/\/doi.org\/10.1007\/978-3-030-85616-8_36","DOI":"10.1007\/978-3-030-85616-8_36"},{"key":"11_CR5","unstructured":"Chromik, M., Schuessler, M.: A taxonomy for human subject evaluation of black-box explanations in XAI (2020). https:\/\/ceur-ws.org\/Vol-2582\/paper9.pdf"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Danilevsky, M., Qian, K., Aharonov, R., Katsis, Y., Kawas, B., Sen, P.: A survey of the state of explainable AI for natural language processing (2020). https:\/\/aclanthology.org\/2020.aacl-main.46\/","DOI":"10.18653\/v1\/2020.aacl-main.46"},{"key":"11_CR7","unstructured":"Dua, D., Graff, C.: UCI machine learning repository (2017). http:\/\/archive.ics.uci.edu\/ml"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Ehsan, U., Tambwekar, P., Chan, L., Harrison, B., Riedl, M.O.: Automated rationale generation: a technique for explainable AI and its effects on human perceptions (2019). https:\/\/doi.org\/10.1145\/3301275.3302316","DOI":"10.1145\/3301275.3302316"},{"key":"11_CR9","doi-asserted-by":"publisher","unstructured":"Freitas, A.A.: Comprehensible classification models: a position paper. SIGKDD Explor. 15(1), 1\u201310 (2013). https:\/\/doi.org\/10.1145\/2594473.2594475","DOI":"10.1145\/2594473.2594475"},{"key":"11_CR10","doi-asserted-by":"publisher","unstructured":"Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., Turini, F.: Factual and counterfactual explanations for black box decision making. IEEE Intell. Syst. 34(6), 14\u201323 (2019). https:\/\/doi.org\/10.1109\/MIS.2019.2957223","DOI":"10.1109\/MIS.2019.2957223"},{"key":"11_CR11","doi-asserted-by":"publisher","unstructured":"Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., Pedreschi, D.: A survey of methods for explaining black box models. ACM Comput. Surv. 51(5), 93:1\u201393:42 (2019b). https:\/\/doi.org\/10.1145\/3236009","DOI":"10.1145\/3236009"},{"key":"11_CR12","doi-asserted-by":"publisher","unstructured":"Gunning, D., Aha, D.W.: Darpa\u2019s explainable artificial intelligence (XAI) program. AI Mag. 40(2), 44\u201358 (2019). https:\/\/doi.org\/10.1609\/aimag.v40i2.2850. https:\/\/doi.org\/10.1609\/aimag.v40i2.2850","DOI":"10.1609\/aimag.v40i2.2850"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Hart, S.G.: Nasa-task load index (nasa-tlx); 20 years later (2006)","DOI":"10.1037\/e577632012-009"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Hart, S.G., Staveland, L.E.: Development of nasa-tlx (task load index): results of empirical and theoretical research. In: Advances in psychology, vol.\u00a052, pp. 139\u2013183. Elsevier (1988)","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Kulesza, T., Stumpf, S., Burnett, M.M., Yang, S., Kwan, I., Wong, W.-K.: Too much, too little, or just right? ways explanations impact end users\u2019 mental models (2013). https:\/\/doi.org\/10.1109\/VLHCC.2013.6645235","DOI":"10.1109\/VLHCC.2013.6645235"},{"key":"11_CR16","unstructured":"Vera Liao, Q., Varshney, K.R.: Human-centered explainable AI (XAI): from algorithms to user experiences. CoRR, abs\/2110.10790 (2021). https:\/\/arxiv.org\/abs\/2110.10790"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Vera Liao, Q., Gruen, D.M., Miller, S.: Questioning the AI: informing design practices for explainable AI user experiences (2020). https:\/\/doi.org\/10.1145\/3313831.3376590","DOI":"10.1145\/3313831.3376590"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Lim, B.Y., Dey, A.K.: Toolkit to support intelligibility in context-aware applications (2010). https:\/\/doi.org\/10.1145\/1864349.1864353","DOI":"10.1145\/1864349.1864353"},{"key":"11_CR19","doi-asserted-by":"publisher","unstructured":"Lipton, Z.C.: The mythos of model interpretability. Commun. ACM 61(10), 36\u201343 (2018). https:\/\/doi.org\/10.1145\/3233231","DOI":"10.1145\/3233231"},{"key":"11_CR20","unstructured":"Lundberg, S.M., Lee, S.-I.: A unified approach to interpreting model predictions (2017)"},{"key":"11_CR21","unstructured":"Madumal, P., Miller, T., Sonenberg, T., Vetere, F.: A grounded interaction protocol for explainable artificial intelligence (2019). http:\/\/dl.acm.org\/citation.cfm?id=3331801"},{"key":"11_CR22","doi-asserted-by":"publisher","unstructured":"Miller, T.: Explanation in artificial intelligence: Insights from the social sciences. Artif. Intell. 267, 1\u201338 (2019). https:\/\/doi.org\/10.1016\/j.artint.2018.07.007","DOI":"10.1016\/j.artint.2018.07.007"},{"key":"11_CR23","unstructured":"Miller, T., Howe, P., Sonenberg, L.: Explainable AI: beware of inmates running the asylum or: How I learnt to stop worrying and love the social and behavioural sciences. CoRR, abs\/1712.00547 (2017). http:\/\/arxiv.org\/abs\/1712.00547"},{"key":"11_CR24","doi-asserted-by":"publisher","unstructured":"Ming, Y., Huamin, Q., Bertini, E.: Rulematrix: visualizing and understanding classifiers with rules. IEEE Trans. Vis. Comput. Graph. 25(1), 342\u2013352 (2019). https:\/\/doi.org\/10.1109\/TVCG.2018.2864812","DOI":"10.1109\/TVCG.2018.2864812"},{"key":"11_CR25","doi-asserted-by":"crossref","unstructured":"Mucha, H., Robert, S., Breitschwerdt, R., Fellmann, M.: Interfaces for explanations in human-ai interaction: Proposing a design evaluation approach (2021). https:\/\/doi.org\/10.1145\/3411763.3451759","DOI":"10.1145\/3411763.3451759"},{"key":"11_CR26","doi-asserted-by":"publisher","unstructured":"O\u2019Brien, H.L., Cairns, P.A., Hall, M.: A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form. Int. J. Hum Comput Stud. 112, 28\u201339 (2018). https:\/\/doi.org\/10.1016\/j.ijhcs.2018.01.004","DOI":"10.1016\/j.ijhcs.2018.01.004"},{"key":"11_CR27","doi-asserted-by":"crossref","unstructured":"O\u2019Brien, H.: Theoretical perspectives on user engagement. Why engagement matters: Cross-disciplinary perspectives of user engagement in digital media, pp. 1\u201326 (2016)","DOI":"10.1007\/978-3-319-27446-1_1"},{"key":"11_CR28","unstructured":"Preece, A.D., Harborne, D., Braines, D., Tomsett, R., Chakraborty, S.: Stakeholders in explainable AI. CoRR abs\/1810.00184 (2018). http:\/\/arxiv.org\/abs\/1810.00184"},{"key":"11_CR29","unstructured":"Preece, J., Sharp, H., Rogers, Y.: Interaction design: beyond human-computer interaction. John Wiley & Sons (2015)"},{"key":"11_CR30","doi-asserted-by":"publisher","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: \u201cWhy should I trust you?\u201d: explaining the predictions of any classifier, pp. 1135\u20131144 (2016). https:\/\/doi.org\/10.1145\/2939672.2939778","DOI":"10.1145\/2939672.2939778"},{"key":"11_CR31","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: Anchors: high-precision model-agnostic explanations. In: McIlraith, S.A., Weinberger, K.Q. (eds.) Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 1527\u20131535. AAAI Press (2018). https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/16982"},{"key":"11_CR32","doi-asserted-by":"crossref","unstructured":"Schaffer, J., Giridhar, P., Jones, D., H\u00f6llerer, T., Abdelzaher, T.F., O\u2019Donovan, J.: Getting the message? a study of explanation interfaces for microblog data analysis (2015). https:\/\/doi.org\/10.1145\/2678025.2701406","DOI":"10.1145\/2678025.2701406"},{"key":"11_CR33","unstructured":"Sharp, H., \u00a0Preece, J., \u00a0Rogers, Y.: Interaction Design: Beyond Human-Computer Interaction. Wiley, 2019. ISBN 9781119547259. https:\/\/books.google.it\/books?id=HreODwAAQBAJ"},{"key":"11_CR34","unstructured":"Sovrano, F., Vitali, F., Palmirani, M.: Making things explainable vs explaining: requirements and challenges under the GDPR. CoRR, abs\/2110.00758 (2021). https:\/\/arxiv.org\/abs\/2110.00758"},{"key":"11_CR35","doi-asserted-by":"crossref","unstructured":"Wang, D., Yang, Q., Abdul, A.M., Lim, B.Y.: Designing theory-driven user-centric explainable AI (2019). https:\/\/doi.org\/10.1145\/3290605.3300831","DOI":"10.1145\/3290605.3300831"},{"key":"11_CR36","doi-asserted-by":"crossref","unstructured":"Yang, F., Huang, Z., Scholtz, J., Arendt, D.L.: How do visual explanations foster end users\u2019 appropriate trust in machine learning? (2020). https:\/\/doi.org\/10.1145\/3377325.3377480","DOI":"10.31219\/osf.io\/s9q8t"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-74633-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T04:40:21Z","timestamp":1741408821000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-74633-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031746321","9783031746338"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-74633-8_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.ecmlpkdd.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}