{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:15:18Z","timestamp":1768338918604,"version":"3.49.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031643019","type":"print"},{"value":"9783031643026","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-64302-6_33","type":"book-chapter","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T10:04:39Z","timestamp":1719828279000},"page":"468-481","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The Unexpected Effects of\u00a0Google Smart Compose on\u00a0Open-Ended Writing Tasks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0390-3710","authenticated-orcid":false,"given":"Robert E.","family":"Cummings","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9632-6870","authenticated-orcid":false,"given":"Thai","family":"Le","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sijan","family":"Shrestha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9123-0244","authenticated-orcid":false,"given":"Carrie Veronica","family":"Smith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,2]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Arnold, K.C., Chauncey, K., Gajos, K.Z.: Predictive text encourages predictable writing. In: ACM IUI (2020)","DOI":"10.1145\/3377325.3377523"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Chen, M.X., et\u00a0al.: Gmail smart compose: Real-time assisted writing. In: KDD (2019)","DOI":"10.1145\/3292500.3330723"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Crawford, K.: The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press (2021)","DOI":"10.12987\/9780300252392"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Dale, R., Viethen, J.: The automated writing assistance landscape in 2021. Natural Language Engineering (2021)","DOI":"10.1017\/S1351324921000164"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Dang, H., Benharrak, K., Lehmann, F., Buschek, D.: Beyond text generation: supporting writers with continuous automatic text summaries. In: UIST (2022)","DOI":"10.1145\/3526113.3545672"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Fu, L., Newman, B., Jakesch, M., Kreps, S.: Comparing sentence-level suggestions to message-level suggestions in AI-mediated communication. In: CHI (2023)","DOI":"10.1145\/3544548.3581351"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"G\u00f3mez-Rodr\u00edguez, C., Williams, P.: A confederacy of models: a comprehensive evaluation of LLMs on creative writing. arXiv arXiv:2310.08433 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.966"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Graesser, A.C., McNamara, D.S., Kulikowich, J.M.: Coh-Metrix: providing multilevel analyses of text characteristics. Educ. Researcher (2011)","DOI":"10.3102\/0013189X11413260"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., Naaman, M.: Co-writing with opinionated language models affects users\u2019 views. arXiv arXiv:2302.00560 (2023)","DOI":"10.1145\/3544548.3581196"},{"key":"33_CR10","unstructured":"Lee, M., et\u00a0al.: Evaluating human-language model interaction. arXiv arXiv:2212.09746 (2022)"},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"McNamara, D.S., Graesser, A.C.: Coh-Metrix: an automated tool for theoretical and applied natural language processing. In: Applied Natural Language Processing: Identification, Investigation and Resolution. IGI Global (2012)","DOI":"10.4018\/978-1-60960-741-8.ch011"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"McNamara, D.S., Graesser, A.C., McCarthy, P.M., Cai, Z.: Automated Evaluation of Text and Discourse with Coh-Metrix. Cambridge University Press (2014)","DOI":"10.1017\/CBO9780511894664"},{"key":"33_CR13","unstructured":"McNamara, D.S., Ozuru, Y., Graesser, A.C., Louwerse, M.: Validating Coh-Metrix. In: Proceedings of the 28th Annual Conference of the Cognitive Science Society (2006)"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Nesi, H., Gardner, S.: Genres Across the Disciplines: Student Writing in Higher Education. Cambridge University Press (2012)","DOI":"10.1017\/9781009030199"},{"key":"33_CR15","unstructured":"Ought: Elicit: The AI research assistant (2023). https:\/\/elicit.org"},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Quinn, P., Zhai, S.: A cost-benefit study of text entry suggestion interaction. In: CHI (2016)","DOI":"10.1145\/2858036.2858305"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Tate, T., et\u00a0al.: Educational research and AI-generated writing: confronting the coming Tsunami (2023)","DOI":"10.35542\/osf.io\/4mec3"},{"key":"33_CR18","doi-asserted-by":"publisher","unstructured":"Teubner, T., Flath, C.M., Weinhardt, C., van\u00a0der Aalst, W., Hinz, O.: Welcome to the era of ChatGPT et al. the prospects of large language models. Bus. Inf. Syst. Eng. (2023). https:\/\/doi.org\/10.1007\/s12599-023-00795-x","DOI":"10.1007\/s12599-023-00795-x"},{"key":"33_CR19","unstructured":"Vincent, J.: Google\u2019s AI-powered smart compose feature is coming to docs (2019). https:\/\/www.theverge.com\/2019\/11\/20\/20973917\/google-docs-smart-compose-feature-g-suite-update"},{"key":"33_CR20","unstructured":"Whalen, J., et\u00a0al.: ChatGPT: Challenges, opportunities, and implications for teacher education. Contemporary Issues in Technology and Teacher Education (2023)"},{"key":"33_CR21","unstructured":"Wooldridge, M.: A Brief History of Artificial Intelligence: What it is, Where We are, and Where We are Going. Flatiron Books (2021)"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Yuan, A., Coenen, A., Reif, E., Ippolito, D.: Wordcraft: story writing with large language models. In: ACM IUI (2022)","DOI":"10.1145\/3490099.3511105"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-64302-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T06:05:57Z","timestamp":1733724357000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-64302-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031643019","9783031643026"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-64302-6_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Recife","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2024.cesar.school\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}