{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:56:45Z","timestamp":1781197005212,"version":"3.54.1"},"reference-count":128,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T00:00:00Z","timestamp":1736467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Hum.-Comput. Interact."],"published-print":{"date-parts":[[2025,1,10]]},"abstract":"<jats:p>\n            Job interviews play a critical role in shaping one's career, yet practicing interview skills can be challenging, especially without access to human coaches or peers for feedback. Recent advancements in large language models (LLMs) present an opportunity to enhance the interview practice experience. Yet, little research has explored the effectiveness and user perceptions of such systems or the benefits and challenges of using LLMs for interview practice. Furthermore, while prior work and recent commercial tools have demonstrated the potential of AI to assist with interview practice, they often deliver one-way feedback, where users only receive information about their performance. By contrast,\n            <jats:italic toggle=\"yes\">dialogic feedback<\/jats:italic>\n            , a concept developed in learning sciences, is a two-way interaction feedback process that allows users to further engage with and learn from the provided feedback through interactive dialogue. This paper introduces Conversate, a web-based application that supports reflective learning in job interview practice by leveraging large language models (LLMs) for interactive interview simulations and dialogic feedback. To start the interview session, the user provides the title of a job position (e.g., entry-level software engineer) in the system. Then, our system will initialize the LLM agent to start the interview simulation by asking the user an opening interview question and following up with questions carefully adapted to subsequent user responses. After the interview session, our back-end LLM framework will then analyze the user's responses and highlight areas for improvement. Users can then annotate the transcript by selecting specific sections and writing self-reflections. Finally, the user can interact with the system for dialogic feedback, conversing with the LLM agent to learn from and iteratively refine their answers based on the agent's guidance. To evaluate Conversate, we conducted a user study with 19 participants to understand their perceptions of using LLM-supported interview simulation and dialogic feedback. Our findings show that participants valued the adaptive follow-up questions from LLMs, as they enhanced the realism of interview simulations and encouraged deeper thinking. Participants also appreciated the AI-assisted annotation, as it reduced their cognitive burden and mitigated excessive self-criticism in their own evaluation of their interview performance. Moreover, participants found the LLM-supported dialogic feedback to be beneficial, as it promoted personalized and continuous learning, reduced feelings of judgment, and allowed them to express disagreement.\n          <\/jats:p>","DOI":"10.1145\/3701188","type":"journal-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T16:06:46Z","timestamp":1736525206000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7078-7632","authenticated-orcid":false,"given":"Taufiq","family":"Daryanto","sequence":"first","affiliation":[{"name":"Computer Science, Virginia Tech, Blacksburg, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2679-3344","authenticated-orcid":false,"given":"Xiaohan","family":"Ding","sequence":"additional","affiliation":[{"name":"Computer Science, Virginia Tech, Blacksburg, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3741-2801","authenticated-orcid":false,"given":"Lance T.","family":"Wilhelm","sequence":"additional","affiliation":[{"name":"Computer Science, Virginia Tech, Blacksburg, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0359-0149","authenticated-orcid":false,"given":"Sophia","family":"Stil","sequence":"additional","affiliation":[{"name":"Computer Science, Virginia Tech, Blacksburg, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7404-7298","authenticated-orcid":false,"given":"Kirk McInnis","family":"Knutsen","sequence":"additional","affiliation":[{"name":"Computer Science, Virginia Tech, Blacksburg, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0961-4397","authenticated-orcid":false,"given":"Eugenia H.","family":"Rho","sequence":"additional","affiliation":[{"name":"Computer Science, Virginia Tech, Blacksburg, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,1,10]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Accessed","year":"2024","unstructured":"[n. d.]. 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ChatGPT for higher education and professional development: A guide to conversational AI. (2023)."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377815.3381372"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3569475"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642081"},{"key":"e_1_2_1_17_1","volume-title":"d.]. Blind. https:\/\/www.teamblind.com. Accessed on","year":"2024","unstructured":"Blind. [n. d.]. Blind. https:\/\/www.teamblind.com. Accessed on: May 8, 2024."},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10869-017-9501-1"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/tct.12345"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781315059051"},{"key":"e_1_2_1_21_1","volume-title":"d.]. S.T.A.R. 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(2013)."},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.lindif.2023.102274"},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10639-021-10831-6"},{"key":"e_1_2_1_64_1","first-page":"317","article-title":"Motivational challenges of adult learners in self-directed e-learning","volume":"20","author":"Kim Kyong-Jee","year":"2009","unstructured":"Kyong-Jee Kim. 2009. Motivational challenges of adult learners in self-directed e-learning. Journal of Interactive Learning Research 20, 3 (2009), 317--335.","journal-title":"Journal of Interactive Learning Research"},{"key":"e_1_2_1_65_1","unstructured":"Minsun Kim SeonGyeom Kim Suyoun Lee Yoosang Yoon Junho Myung Haneul Yoo Hyungseung Lim Jieun Han Yoonsu Kim So-Yeon Ahn Juho Kim Alice Oh Hwajung Hong and Tak Yeon Lee. 2024. Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing. arXiv:2405.19691 [cs.HC] https: \/\/arxiv.org\/abs\/2405.19691"},{"key":"e_1_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3582269.3615599"},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.20343\/teachlearninqu.5.2.2"},{"key":"e_1_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1111\/peps.12052"},{"key":"e_1_2_1_69_1","unstructured":"Mingzhe Li Xiuying Chen Weiheng Liao Yang Song Tao Zhang Dongyan Zhao and Rui Yan. 2023. EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator. arXiv:2301.00972 [cs.CL]"},{"key":"e_1_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2022.1023439"},{"key":"e_1_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1093\/jcmc\/zmad028"},{"key":"e_1_2_1_72_1","unstructured":"Nelson F. Liu Kevin Lin John Hewitt Ashwin Paranjape Michele Bevilacqua Fabio Petroni and Percy Liang. 2023. Lost in the Middle: How Language Models Use Long Contexts. arXiv:2307.03172 [cs.CL]"},{"key":"e_1_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2014.04.043"},{"key":"e_1_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2017.00051"},{"key":"e_1_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1177\/1080569906291257"},{"key":"e_1_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1037\/0021--9010.83.1"},{"key":"e_1_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1037\/0021--9010.86.4.709"},{"key":"e_1_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1744--6570.2004.00002.x"},{"key":"e_1_2_1_79_1","unstructured":"Michael A McDaniel Deborah L Whetzel Frank L Schmidt and Steven D Maurer. [n. d.]. The Validity of Employment Interviews: A Comprehensive Review and Meta-Analysis. ([n. d.])."},{"key":"e_1_2_1_80_1","unstructured":"Fiona Haslam McKenzie. 2007. Attracting and retaining skilled and professional staff in remote locations. Number DKCRC Report 21. CRC for Desert Knowledge."},{"key":"e_1_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1080\/07294360.2018.1473845"},{"key":"e_1_2_1_82_1","volume-title":"Feedback in higher and professional education","author":"Molloy Elizabeth","unstructured":"Elizabeth Molloy, Francesc Borrell-Carrio, and Ron Epstein. 2012. The impact of emotions in feedback. In Feedback in higher and professional education. Routledge, 50--71."},{"key":"e_1_2_1_83_1","unstructured":"MongoDB. [n.d.]. https:\/\/www.mongodb.com\/products\/platform\/atlas-database."},{"key":"e_1_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2614299"},{"key":"e_1_2_1_85_1","volume-title":"Nafees Ayub, Akhtar Rasool, Tehseen Abbas, and MuhammadWaleed Afzal.","author":"Naseer Fawad","year":"2024","unstructured":"Fawad Naseer, Muhammad Usama Khalid, Nafees Ayub, Akhtar Rasool, Tehseen Abbas, and MuhammadWaleed Afzal. 2024. 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Studies in higher education 31, 2 (2006), 199--218."},{"key":"e_1_2_1_88_1","unstructured":"OpenAI. 2023. GPT-4 Technical Report. arXiv:2303.08774 [cs.CL]"},{"key":"e_1_2_1_89_1","unstructured":"OpenAI. 2024. https:\/\/platform.openai.com\/docs\/guides."},{"key":"e_1_2_1_90_1","unstructured":"OpenAI. 2024. https:\/\/platform.openai.com\/docs\/models."},{"key":"e_1_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2021.100020"},{"key":"e_1_2_1_92_1","volume-title":"On the risk of misinformation pollution with large language models. arXiv preprint arXiv:2305.13661","author":"Pan Yikang","year":"2023","unstructured":"Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, and William Yang Wang. 2023. 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