Pith Integrity · Reference Change Desk · events-only
Reference changes
See every place this corpus cites a work that was later retracted, corrected, withdrawn, or placed under expression of concern: exact quote, event source, and what happened next. No model judges the citation.
A notice on this page means a citing paper's bibliography includes a work with a published scholarly-record event. It is not a judgment on the citing paper.
01Events with corpus notices
02One-hop citation notices (secondary index)
cites Language Identification of Intra-Word Code-Switching for Arabic–English , journal = · ref [11] · event 2022-11-26 · 2604.05210 · event page · DOI 10.1016/j.mlwa.2021.100104
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of personal protective equipment, Automation in Construction 112 (2020) 103085. https://doi.org/10.1016/j.autcon.2020.103085. [10] J. Kim, S. Chi, Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles, Automation in Construction 104 (2019) 255-264. https://doi.org/10.1016/j.autcon.2019.03.025. [11] A. Sharifi, A. Zibaei, M. Rezaei, A deep learning based hazardous materials (HAZMAT) sign detection robot with r…
cites Language Identification of Intra-Word Code-Switching for Arabic–English , journal = · ref [48] · event 2022-11-26 · 2606.06349 · event page · DOI 10.1016/j.mlwa.2021.100104
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Caroline Sabty and Islam Mesabah and Özlem Çetinoğlu and Slim Abdennadher , keywords =. Language Identification of Intra-Word Code-Switching for Arabic–English , journal =. 2021 , issn =. doi:https://doi.org/10.1016/j.array.2021.100104 , url =
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Caroline Sabty and Islam Mesabah and Özlem Çetinoğlu and Slim Abdennadher, keywords =. Language Identification of Intra-Word Code-Switching for Arabic–English, journal =. 2021, issn =. doi:https://doi.org/10.1016/j.array.2021.100104, url =
cites 10.1016/j.hfh.2022.100021 · ref [122] · event 2024-02-22 · 2509.01231 · event page · DOI 10.1016/j.hfh.2022.100021
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Khalid Samhale. 2022. The Impact of Trust in the Internet of Things for Health on User Engagement.Digital Business2, 1 (March 2022), 100021. https://doi.org/10.1016/j.digbus.2022.100021
cites 10.1016/j.hfh.2022.100021 · ref [5] · event 2024-02-22 · 2606.30828 · event page · DOI 10.1016/j.hfh.2022.100021
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Avishek Choudhury and Onur Asan. 2022. Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Ex- ploring the perceptions of healthcare practitioners in the US. Human Factors in Healthcare 2 (2022), 100021. doi:10.1016/j.hfh.2022.100021
cites Cramer, J · ref [28] · event 2025-10-01 · 2607.06632 · event page · DOI 10.1016/j.compchemeng.2024.108681
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E. Cramer, J. Gao, A black-box adversarial attack on demand side management, Computers & Chemical Engineer- ing 186 (2024) 108681.doi:10.1016/j.compchemeng.2024.108681
cites Data in Brief30, 105474 (2020).https://doi.org/ 10.1016/j.dib.2020.105474 · ref [2] · event 2024-11-26 · 2605.00675 · event page · DOI 10.1016/j.ijfatigue.2020.105474
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Acevedo, A., Merino, A., Alférez, S., Cabrera, J.R., Pereira, C., León, A., Sánchez, P.: A dataset of microscopic peripheral blood cell images for development of au- tomatic recognition systems. Data in Brief30, 105474 (2020).https://doi.org/ 10.1016/j.dib.2020.105474
cites Data in Brief30, 105474 (2020).https://doi.org/ 10.1016/j.dib.2020.105474 · ref [61] · event 2024-11-26 · 2510.03713 · event page · DOI 10.1016/j.ijfatigue.2020.105474
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Koko A, Earp P , Wigger T, Tong J, Marrow TJ. J -integral analysis: An EDXD and DIC comparative study for a fatigue crack. Int J Fatigue 2020;134:105474. https://doi.org/10.1016/j.ijfatigue.2020.105474
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Koko A, Earp P, Wigger T, Tong J, Marrow TJ. J -integral analysis: An EDXD and DIC comparative study for a fatigue crack. Int J Fatigue 2020;134:105474. https://doi.org/10.1016/j.ijfatigue.2020.105474
cites Data in Brief30, 105474 (2020).https://doi.org/ 10.1016/j.dib.2020.105474 · ref [53] · event 2024-11-26 · 2502.11638 · event page · DOI 10.1016/j.ijfatigue.2020.105474
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A. Acevedo, A. Merino, S. Alférez, Á. Molina, L. Boldú, and J. Rodellar, "A dataset of microscopic peripheral blood cell images for development of automatic recognition systems," Data in Brief, vol. 30, pp. 105474 - 105474, 2020/6// 2020, doi: 10.1016/J.DIB.2020.105474
cites Data in Brief30, 105474 (2020).https://doi.org/ 10.1016/j.dib.2020.105474 · ref [2] · event 2024-11-26 · 2605.00675 · event page · DOI 10.1016/j.ijfatigue.2020.105474
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Acevedo, A., Merino, A., Alférez, S., Cabrera, J.R., Pereira, C., León, A., Sánchez, P.: A dataset of microscopic peripheral blood cell images for development of au- tomatic recognition systems. Data in Brief30, 105474 (2020).https://doi.org/ 10.1016/j.dib.2020.105474
cites mAIstro: An open-source multi-agent system for automated end-to-end development of radiomics and deep learning models for medical imaging · ref [9] · event 2025-05-10 · 2604.06280 · event page · DOI 10.1016/j.jfscie.2025.100044
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Advanced Monte Carlo simulations of emission tomography imaging systems with GATE. Phys Med Biol. 2021;66(10):10TR03. doi: 10.1088/1361-6560/abf276. [8] Bu D, Sun J, Li K, et al. Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses. Nat Biomed Eng. 2026; doi: 10.1038/s41551-026-01634-6. 15 [9] Tzanis E, Klontzas ME. mAIstro: An open-source multi-agent system for automated end-to-end…
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Advanced Monte Carlo simulations of emission tomography imaging systems with GATE. Phys Med Biol. 2021;66(10):10TR03. doi: 10.1088/1361-6560/abf276. [8] Bu D, Sun J, Li K, et al. Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses. Nat Biomed Eng. 2026; doi: 10.1038/s41551-026-01634-6. 15 [9] Tzanis E, Klontzas ME. mAIstro: An open-source multi-agent system for automated end-to-end…
cites mAIstro: An open-source multi-agent system for automated end-to-end development of radiomics and deep learning models for medical imaging · ref [102] · event 2025-05-10 · 2606.02914 · event page · DOI 10.1016/j.jfscie.2025.100044
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E. E. Maruska, A. Elgreatly, W. Madaio, K. Razoky, C. Bay, A. Mahrous, Comparing dentist and chatbot answers to dental ques- tions for quality and empathy, JADA Foundational Science 4 (2025) 100044.doi:10.1016/j.jfscie.2025.100044. URLhttps://doi.org/10.1016/j.jfscie.2025.100044
cites Epidemics , keywords = · ref [223] · event 2024-07-17 · 2604.18319 · event page · DOI 10.1016/j.ijcci.2021.100439
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Elba Raim\'undez and Erika Dudkin and Jakob Vanhoefer and Emad Alamoudi and Simon Merkt and Lara Fuhrmann and Fan Bai and Jan Hasenauer , date =. Epidemics , keywords =. 2021 , bdsk-url-1 =. doi:https://doi.org/10.1016/j.epidem.2021.100439 , issn =
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Elba Raim undez and Erika Dudkin and Jakob Vanhoefer and Emad Alamoudi and Simon Merkt and Lara Fuhrmann and Fan Bai and Jan Hasenauer, date =. Epidemics, keywords =. 2021, bdsk-url-1 =. doi:https://doi.org/10.1016/j.epidem.2021.100439, issn =
cites Epidemics , keywords = · ref [89] · event 2024-07-17 · 2606.19816 · event page · DOI 10.1016/j.ijcci.2021.100439
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Heike Winschiers-Theophilus, Naska Goagoses, Erkki Rötkönen, and Tariq Zaman. 2022. Pushing political, cultural, and geographical boundaries: Distributed co-design with children from Namibia, Malaysia and Finland.International Journal of Child-Computer Interaction 31 (2022), 100439. doi:10.1016/j.ijcci.2021.100439
cites doi: 10.1016/j.srs.2020.100002 · ref [34] · event 2021-12-16 · 2604.09635 · event page · DOI 10.1016/j.srs.2020.100002
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Chen, X.; Xie, H.; Zou, D.; Hwang, G.J. Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence2020,1, 100002. https://doi.org/10.1016/j.caeai.2020.100002
cites doi: 10.1016/j.srs.2020.100002 · ref [13] · event 2021-12-16 · 2606.20291 · event page · DOI 10.1016/j.srs.2020.100002
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ISSN 2666-0172. doi: 10.1016/j.srs.2020.100002. URLhttps://www.sciencedirect.co m/science/article/pii/S2666017220300018
cites International Journal of Child-Computer Interaction 39, 100630 (2024) · ref [61] · event 2025-06-27 · 2605.14360 · event page · DOI 10.1016/j.ijcci.2023.100630
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Rachel Stanton, Peter Reaburn, Brenda Happell, Joanne Dodd, Justin Scanlan, Catherine McMahon, Emma White, and Kwong Fong. 2023. Wearable technologies for health research: Opportunities, limitations, and practical and conceptual considerations.Brain, Behavior, and Immunity – Health30 (2023), 100630. doi:10.1016/j.bbih.2023.100630
cites International Journal of Child-Computer Interaction 39, 100630 (2024) · ref [34] · event 2025-06-27 · 2405.18179 · event page · DOI 10.1016/j.ijcci.2023.100630
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Mertala, P., Fagerlund, J.: Finnish 5th and 6th graders’ misconceptions about artificial intelligence. International Journal of Child-Computer Interaction 39, 100630 (2024). https://doi.org/10.1016/j.ijcci.2023.100630
cites Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025 · ref [42] · event 2025-09-27 · 2605.13057 · event page · DOI 10.1016/j.ndteint.2024.103251
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WeiWang,JieZhang,andPaulD.Wilcox. Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025. doi: 10.1016/j.ndteint.2024.103251
cites Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025 · ref [13] · event 2025-09-27 · 2605.22024 · event page · DOI 10.1016/j.ndteint.2024.103251
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WeiWang,JieZhang,andPaulD.Wilcox. Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025. doi: 10.1016/j.ndteint.2024.103251
cites Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025 · ref [24] · event 2025-09-27 · 2606.24319 · event page · DOI 10.1016/j.ndteint.2024.103251
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M. Safayet, J. P. C. Connors, and M. Watson. Measuring access to food banks and food pantries: A scoping review of spatial analysis approaches. Health and Place, 88, 2024. URL https://doi.org/10.1016/j.healthplace.2024.103251
cites Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025 · ref [42] · event 2025-09-27 · 2605.13057 · event page · DOI 10.1016/j.ndteint.2024.103251
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WeiWang,JieZhang,andPaulD.Wilcox. Metallicmaterialmicrostructuregrainsizemeasurementsfrombackscatteredultrasonicarraydata using full matrix capture.NDT & E International, 149:103251, 2025. doi: 10.1016/j.ndteint.2024.103251
cites Freitag, et al · ref [12] · event 2022-08-12 · 2605.00504 · event page · DOI 10.1016/j.patter.2021.100340
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Charlotte Freitag, Mike Berners-Lee, Kelly Widdicks, Bran Knowles, Gordon S. Blair, and Adrian Friday. 2021. The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations.Patterns2, 9 (2021), 100340. doi:10.1016/j.patter.2021.100340
cites Freitag, et al · ref [139] · event 2022-08-12 · 2605.08404 · event page · DOI 10.1016/j.patter.2021.100340
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van Cranenburgh, Sander and Wang, Shenhao and Vij, Akshay and Pereira, Francisco and Walker, Joan , urldate =. Choice modelling in the age of machine learning - Discussion paper , volume =. doi:10.1016/j.jocm.2021.100340 , abstract =
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van Cranenburgh, Sander and Wang, Shenhao and Vij, Akshay and Pereira, Francisco and Walker, Joan, urldate =. Choice modelling in the age of machine learning - Discussion paper, volume =. doi:10.1016/j.jocm.2021.100340, abstract =
cites Freitag, et al · ref [12] · event 2022-08-12 · 2602.15655 · event page · DOI 10.1016/j.patter.2021.100340
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C. Freitag, et al. , The real climate and transformative impact of ICT. Patterns 2 (9), 100340 (2021), doi:10.1016/j.patter.2021.100340
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C. Freitag, et al., The real climate and transformative impact of ICT. Patterns 2 (9), 100340 (2021), doi:10.1016/j.patter.2021.100340
cites Freitag, et al · ref [25] · event 2022-08-12 · 2606.23192 · event page · DOI 10.1016/j.patter.2021.100340
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Freitag, C. et al. The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations. Patterns 2, 100340; 10.1016/j.patter.2021.100340 (2021)
cites Sharma, Himanshu, and A · ref [20] · event 2025-04-25 · 2604.09215 · event page · DOI 10.1016/j.nonrwa.2025.104371
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"Bond-associated deformation gradients for peridynamic correspondence model".Mechanics Research Communications90 (June 2018), pp. 34-41.doi:10.1016/j.mechrescom.2018.04.004. [19] H. Chen and B. W. Spencer. "Peridynamic bond-associated correspondence model: Stability and convergence properties".International Journal for Numerical Methods in Engineering117.6 (2019), pp. 713-727.doi:10.1002/nme.5973. [20] J. Cueto, C. Kreisbeck, and H. Schönberger. "Γ-convergence involving nonlo…
cites Sharma, Himanshu, and A · ref [2] · event 2025-04-25 · 2603.07218 · event page · DOI 10.1016/j.nonrwa.2025.104371
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S. Sharma, Himanshu, and A. Ramaswamy. Fine to coarse mesh transition in phase-field fracture simulations using the virtual element method. InFinite Elements in Analysis and Design, V olume 249, pages 104371, 2025. https://doi.org/10.1016/j.finel.2025.104371
cites Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder · ref [26] · event 2010-04-27 · 2607.05626 · event page · DOI 10.1007/s00787-010-0092-x
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Rommelse NN, Franke B, Geurts HM, Hartman CA, Buitelaar JK. Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder. Eur Child Adolesc Psychiatry 2010;19(3):281–295. doi:https://doi.org/10.1007/s00787-010-0092-x
cites Broadscale · ref [45] · event 2026-05-07 · 2605.13195 · event page · DOI 10.1016/j.radphyschem.2019.108515
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Direct Numerical Simulation of Turbulent Heat Transfer over Fully Resolved Anisotropic Porous Structures , author =. International Journal of Heat and Fluid Flow , volume =. doi:10.1016/j.ijheatfluidflow.2019.108515 , urldate =
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Direct Numerical Simulation of Turbulent Heat Transfer over Fully Resolved Anisotropic Porous Structures, author =. International Journal of Heat and Fluid Flow, volume =. doi:10.1016/j.ijheatfluidflow.2019.108515, urldate =
cites Broadscale · ref [62] · event 2026-05-07 · 2606.29945 · event page · DOI 10.1016/j.radphyschem.2019.108515
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Rabus H, Ngcezu SA, Braunroth T, Nettelbeck H. “Broadscale” nanodosimetry: Nanodosimetric track structure quantities increase at distal edge of spread -out proton Bragg peaks. Radiat Phys Chem 2020;166:108515. https://doi.org/https://doi.org/10.1016/j.radphyschem.2019.108515
cites Agyei Kyem, J · ref [23] · event 2026-03-28 · 2604.11656 · event page · DOI 10.1016/j.oregeorev.2025.106591
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Behnam Sadeghi. 2025. K-Means and K-Medoids are among the most commonly used clustering methods in geo-data science (pyClusterWise).Ore Geology Re- views181 (2025), 106591. doi:10.1016/j.oregeorev.2025.106591
cites Agyei Kyem, J · ref [43] · event 2026-03-28 · 2606.05641 · event page · DOI 10.1016/j.oregeorev.2025.106591
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B. Agyei Kyem, J. K. Asamoah, E. Denteh, A. Danyo, A. Aboah, Self-supervised multi-scale transformer with attention-guided fusion for efficient crack detection, Automation in Construction 181 (2026) 106591. doi:https://doi.org/10.1016/j.autcon.2025.106591. URL https://www.sciencedirect.com/science/article/pii/ S0926580525006314
cites Comput- ers &; Security134, 103448 (2023) · ref [45] · event 2023-05-08 · 2604.06417 · event page · DOI 10.1016/j.probengmech.2023.103448
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A. Sharma, C. S. Manohar, Modified replica exchange-based MCMC algorithm for estimation of struc- tural reliability based on particle splitting method, Probabilistic Engineering Mechanics 72 (2023) 103448.doi:10.1016/j.probengmech.2023.103448
cites Comput- ers &; Security134, 103448 (2023) · ref [43] · event 2023-05-08 · 2603.29907 · event page · DOI 10.1016/j.probengmech.2023.103448
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Another major concern is unauthorized access to stored voice data and inter- action logs [65]. Because these systems continuously collect and transmit audio data to remote servers, they introduce substantial risks of data leakage and pri- vacy violations. Attackers may exploit weaknesses in communication protocols, cloud storage, or authentication mechanisms to access sensitive information [43]. 4 Elsayed et al. Replay attacks are also a common threat, where previously record…
cites 10.1038/229542a0 · ref [18] · event 2005-08-02 · 2607.05607 · event page · DOI 10.1038/229542a0
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Savageau, M. A. (1971). Parameter sensitivity as a criterion for evaluating and comparing the performance of biochemical systems. Nature, 229(5286), 542--544. https://doi.org/10.1038/229542a0
cites , year = 2022, month = jul, journal = · ref [47] · event 2023-09-30 · 2604.04319 · event page · DOI 10.1080/07421222.2022.2096544
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Sangseok You, Yang , Cathy Liu, , and Xitong Li. 2022. Algorithmic ver- sus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation?Journal of Management Information Systems 39, 2 (April 2022), 336–365. doi:10.1080/07421222.2022.2063553 _eprint: https://doi.org/10.1080/07421222.2022.2063553
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Sangseok You, Yang, Cathy Liu,, and Xitong Li. 2022. Algorithmic ver- sus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation?Journal of Management Information Systems 39, 2 (April 2022), 336–365. doi:10.1080/07421222.2022.2063553 _eprint: https://doi.org/10.1080/07421222.2022.2063553
cites , year = 2022, month = jul, journal = · ref [51] · event 2023-09-30 · 2605.17746 · event page · DOI 10.1080/07421222.2022.2096544
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Sangseok You, Cathy Liu Yang, and Xitong Li. 2022. Algorithmic versus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation?Journal of Management Information Systems39, 2 (2022), 336–365. doi:10.1080/07421222.2022.2063553
cites , year = 2022, month = jul, journal = · ref [291] · event 2023-09-30 · 2606.31755 · event page · DOI 10.1080/07421222.2022.2096544
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Flyvbjerg, Bent and Budzier, Alexander and Lee, Jong Seok and Keil, Mark and Lunn, Daniel and Bester, Dirk W. , year = 2022, month = jul, journal =. The Empirical Reality of. doi:10.1080/07421222.2022.2096544 , url =
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Flyvbjerg, Bent and Budzier, Alexander and Lee, Jong Seok and Keil, Mark and Lunn, Daniel and Bester, Dirk W., year = 2022, month = jul, journal =. The Empirical Reality of. doi:10.1080/07421222.2022.2096544, url =
cites Zhang, Y · ref [52] · event 2018-05-09 · 2604.21885 · event page · DOI 10.1080/13658816.2018.1458986
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A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements , volume =. International Journal of Geographical Information Science , author =. 2019 , note =. doi:10.1080/13658816.2018.1458986 , abstract =
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A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements, volume =. International Journal of Geographical Information Science, author =. 2019, note =. doi:10.1080/13658816.2018.1458986, abstract =
cites Zhang, Y · ref [16] · event 2018-05-09 · 2605.06682 · event page · DOI 10.1080/13658816.2018.1458986
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Detecting spatial community structure in movements. International Journal of Geographical Information Science 32, 1326–1347. doi:10.1080/13658816.2018.1434889. Gurnee, W., Shmoys, D.B.,
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Detecting spatial community structure in movements. International Journal of Geographical Information Science 32, 1326–1347. doi:10.1080/13658816.2018.1434889. Gurnee, W., Shmoys, D.B
cites Zhang, Y · ref [20] · event 2018-05-09 · 2605.06682 · event page · DOI 10.1080/13658816.2018.1458986
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A center-based modeling approach to solve the districting problem. International Journal of Geographical Information Science 33, 368–384. doi:10.1080/13658816.2018.1474472. Kueng, R., Mixon, D.G., Villar, S.,
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A center-based modeling approach to solve the districting problem. International Journal of Geographical Information Science 33, 368–384. doi:10.1080/13658816.2018.1474472. Kueng, R., Mixon, D.G., Villar, S
cites Zhang, Y · ref [35] · event 2018-05-09 · 2605.18777 · event page · DOI 10.1080/13658816.2018.1458986
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Detecting Arbitrarily Shaped Clusters in Origin-Destination Flows Using Ant Colony Optimization , author =. International Journal of Geographical Information Science , volume =. doi:10.1080/13658816.2018.1516287 , urldate =
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Detecting Arbitrarily Shaped Clusters in Origin-Destination Flows Using Ant Colony Optimization, author =. International Journal of Geographical Information Science, volume =. doi:10.1080/13658816.2018.1516287, urldate =
cites Zhang, Y · ref [3] · event 2018-05-09 · 2404.02172 · event page · DOI 10.1080/13658816.2018.1458986
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T. Zhang, Y. Li, H. Yang, C. Cui, J. Li, Q. Qiao, Identifying primary public transit corridors using multi-source big transit data https://doi.org/10.1080/13658816.2018.1554812, International Journal of Geographical Information Science , 34:1137--1161 (2020)
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T. Zhang, Y. Li, H. Yang, C. Cui, J. Li, Q. Qiao, Identifying primary public transit corridors using multi-source big transit data https://doi.org/10.1080/13658816.2018.1554812, International Journal of Geographical Information Science, 34:1137--1161 (2020)
cites Advances in Thermoelectrics , year = · ref [115] · event 2020-12-17 · 2508.11242 · event page · DOI 10.1080/00018732.2018.1551715
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D. Manzano, P.I. Hurtado, Harnessing symmetry to control quantum transport , Advances in Physics, 67, 1-67 (2018), doi: 10.1080/00018732.2018.1519981
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D. Manzano, P.I. Hurtado, Harnessing symmetry to control quantum transport, Advances in Physics, 67, 1-67 (2018), doi: 10.1080/00018732.2018.1519981
cites Advances in Thermoelectrics , year = · ref [59] · event 2020-12-17 · 2606.04241 · event page · DOI 10.1080/00018732.2018.1551715
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Mao, Jun and Liu, Zihang and Zhou, Jiawei and Zhu, Hangtian and Zhang, Qian and Chen, Gang and Ren, Zhifeng , journal =. Advances in Thermoelectrics , year =. doi:10.1080/00018732.2018.1551715 , keywords =
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Mao, Jun and Liu, Zihang and Zhou, Jiawei and Zhu, Hangtian and Zhang, Qian and Chen, Gang and Ren, Zhifeng, journal =. Advances in Thermoelectrics, year =. doi:10.1080/00018732.2018.1551715, keywords =
cites Sedighadeli, Rajiv Khosla, and Mei-Tai Chu · ref [24] · event 2017-03-07 · 2604.21019 · event page · DOI 10.1080/10447318.2013.846790
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Yvonne Kammerer and Peter Gerjets. 2014. The Role of Search Result Position and Source Trustworthiness in the Selection of Web Search Results When Using a List or a Grid Interface.International Journal of Human–Computer Interaction 30, 3 (2014), 177–191. doi:10.1080/10447318.2013.846790
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Sri H. Kurniawan, Panayiotis Zaphiris, and R. D. Ellis. Age-related differences in eye- tracking and usability performance: Website usability for older adults.International Journal of Human–Computer Interaction, 29(8):531–544, 2013. doi: 10.1080/10447318.2013.780495. URL https://www.researchgate.net/publication/255172546_Age-Related_ Differences_in_Eye_Tracking_and_Usability_Performance_Website_Usability_ for_Older_Adults
cites Sedighadeli, Rajiv Khosla, and Mei-Tai Chu · ref [5] · event 2017-03-07 · 2604.15325 · event page · DOI 10.1080/10447318.2013.846790
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Rebekah Kachouie, Moeen T. Sedighadeli, Rajiv Khosla, and Mei-Tai Chu. 2014. Socially assistive robots in elderly care: A mixed-method systematic literature re view. International Journal of Human–Computer Interaction 30, 5 (2014), 369–393. doi:10.1080/10447318.2013.873278
cites Simkute, L · ref [52] · event 2024-03-06 · 2604.20936 · event page · DOI 10.1080/10447318.2024.2307670
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Jonas Oppenlaender, Rhema Linder, and Johanna Silvennoinen. 2025. Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering.Interna- tional Journal of Human–Computer Interaction41, 16 (Aug. 2025), 10207–10229. doi:10.1080/10447318.2024.2431761
cites Simkute, L · ref [39] · event 2024-03-06 · 2605.00582 · event page · DOI 10.1080/10447318.2024.2307670
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indicatorMcDonald's 𝜔 ranged from .781 to .803 within conditions. Averaging across conditions, we achieved Cronbach's𝛼 of .693, and 𝜔 of 0.781, indicating that the NASA-TLX provides a reasonably reliable measure of subjective workload. 2.4.3 SUS-DE-Pos.To assess perceived usability-how intuitive and easy the system is to operate-we used the SUS-DE-Pos [39]. This version builds on Rummel's German System Usability Scale [41], reformulating all negative items into positive wordi…
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indicatorMcDonald's 𝜔 ranged from .781 to .803 within conditions. Averaging across conditions, we achieved Cronbach's𝛼 of .693, and 𝜔 of 0.781, indicating that the NASA-TLX provides a reasonably reliable measure of subjective workload. 2.4.3 SUS-DE-Pos.To assess perceived usability-how intuitive and easy the system is to operate-we used the SUS-DE-Pos [39]. This version builds on Rummel's German System Usability Scale [41], reformulating all negative items into positive wordi…
cites Simkute, L · ref [17] · event 2024-03-06 · 2605.01024 · event page · DOI 10.1080/10447318.2024.2307670
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Chuangqi Li, Xinying Weng, Yifan Li, and Tianxin Zhang. 2025. https://doi.org/10.1080/10447318.2024.2338616 Multimodal learning engagement assessment system: An innovative approach to optimizing learning engagement . International Journal of Human--Computer Interaction, 41(5):3474--3490
cites Simkute, L · ref [26] · event 2024-03-06 · 2604.20569 · event page · DOI 10.1080/10447318.2024.2307670
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intelligence chatbots have risen to human-level creativity.Journal of Creativity 33, 3 (2023), 100066. doi:10.1016/j.yjoc.2023.100066 [25] Kent F. Hubert, Kim N. Awa, and Darya L. Zabelina. 2024. The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks.Scientific Reports14, 1 (Feb. 2024), 3440. doi:10. 1038/s41598-024-53303-w [26] Yoed N. Kenett, David Anaki, and Miriam Faust. 2014. Investigating the stru…
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intelligence chatbots have risen to human-level creativity.Journal of Creativity 33, 3 (2023), 100066. doi:10.1016/j.yjoc.2023.100066 [25] Kent F. Hubert, Kim N. Awa, and Darya L. Zabelina. 2024. The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks.Scientific Reports14, 1 (Feb. 2024), 3440. doi:10. 1038/s41598-024-53303-w [26] Yoed N. Kenett, David Anaki, and Miriam Faust. 2014. Investigating the stru…
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What. International Journal of Human–Computer Interaction , author =. doi:10.1080/10447318.2024.2443263 , abstract =
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What. International Journal of Human–Computer Interaction, author =. doi:10.1080/10447318.2024.2443263, abstract =
cites Simkute, L · ref [6] · event 2024-03-06 · 2605.03127 · event page · DOI 10.1080/10447318.2024.2307670
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Anthony Cherbonnier, Brivael Hémon, Nicolas Michinov, Eric Jamet, and Estelle Michinov. 2024. Collaborative Skills Training Using Digital Tools: A Systematic Literature Review.International Journal of Human–Computer Interaction(May 2024), 1–19. doi:10.1080/ 10447318.2024.2348227
cites Simkute, L · ref [77] · event 2024-03-06 · 2605.10898 · event page · DOI 10.1080/10447318.2024.2307670
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Jonas Oppenlaender, Rhema Linder, and Johanna Silvennoinen. 2025. Prompt- ing AI Art: An Investigation into the Creative Skill of Prompt Engineer- ing.International Journal of Human–Computer Interaction0, 0 (2025), 1–23. https://doi.org/10.1080/10447318.2024.2431761
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Soomin Kim, Jinsu Eun, Changhoon Oh, and Joonhwan Lee. 2025. “Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation System.International Journal of Human–Computer Interaction41, 2 (Jan. 2025), 951–969. https://doi.org/10.1080/10447318.2024.2307670
cites Simkute, L · ref [19] · event 2024-03-06 · 2604.27642 · event page · DOI 10.1080/10447318.2024.2307670
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Conclusion:UTAUT is a suitable candidate to combine with Bayesian analysis for practical insights on individual-level barriers to GenAI use in SE, but additional theories should be considered. Keywords Acceptance Behavior, Bayesian Analysis, Theory Use in Software Engineering, UTAUT 1 Introduction Generative artificial intelligence (GenAI) is transforming software engineering (SE) practices [19, 25]. Organizations are increasingly seeking to use these technologies to improve …
cites Simkute, L · ref [41] · event 2024-03-06 · 2602.04713 · event page · DOI 10.1080/10447318.2024.2307670
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Soomin Kim, Jinsu Eun, Changhoon Oh, and Joonhwan Lee. 2025. “Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation System. International Journal of Human–Computer Interaction 41, 2 (2025), 951–969. doi:10.1080/10447318.2024.2307670
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Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, and Sean Rintel. 2024. Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction.International Journal of Human–Computer Interaction(Oct. 2024), 1–22. doi:10.1080/10447318.2024. 2405782
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in life, defined by Schwartz as "trans-situational goals, varying in importance, that serve as guiding principles in the life of a person or group" [81, 83]. It is important to distinguish values (i.e. what one deems important) from beliefs (i.e. what one views as true) or preferences (i.e. what one selects over another) and preventing conflation across reasoning steps [94]. While multiple frameworks exist to study human values-from those measuring cultural evolu- tion like t…
cites Simkute, L · ref [52] · event 2024-03-06 · 2604.16304 · event page · DOI 10.1080/10447318.2024.2307670
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Malak Sadek and Celine Mougenot. 2025. Challenges in Value-Sensitive AI Design: Insights from AI Practitioner Interviews.International Journal of Hu- man–Computer Interaction41, 17 (2025), 10877–10894. https://doi.org/10.1080/ 10447318.2024.2439021
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Counter-evidence exists -Acemoglu & Restrepo's "reallocation" scenario finds net job creation if policy steers AI toward augmentation -but hinges on aggressive worker -training subsidies absent in current legislation [145]. Together, these ten studies suggest that generative AI acts as a productivity amplifier with highly unequal returns, echoing the technology -skill complementarity thesis yet accelerating its timeline.[146], [147], [148]. 4.4.2 Democratic & Social Harms Ele…
cites Simkute, L · ref [2] · event 2024-03-06 · 2511.00654 · event page · DOI 10.1080/10447318.2024.2307670
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https://doi.org/10.1080/10447318.2024.2375797 Seibt, J., Vestergaard, C., & Damholdt, M. F. (2020). Sociomorphing, not anthropomorphizing: Towards a typology of experienced sociality. Proceedings of Robophilosophy 2020. 335, pp. 51-67. IOS Press. Shank, D. B. (2025). Providing companionship. In The machine penalty (pp. 171- 191). Springer. Sherry, A., & Henson, R. K. (2005). Conducting and interpreting canonical correlation analysis in personality research: A user-friendly pr…
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Helena Lindgren. Emerging roles and relationships among humans and interactive ai systems.International Journal of Human–Computer Interaction, 41(17):10595–10617, 2025. doi: 10.1080/10447318.2024.2435693. URL https://doi.org/10.1080/10447318.2024.2435693
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Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abi- gail Sellen, and Sean Rintel. 2025. Ironies of Generative AI: Understand- ing and Mitigating Productivity Loss in Human-AI Interaction.Inter- national Journal of Human–Computer Interaction41, 5 (2025), 2898–2919. arXiv:https://doi.org/10.1080/10447318.2024.2405782 doi:10.1080/10447318.2024. 2405782
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J. Oppenlaender, R. Linder, J. Silvennoinen, Prompting ai art: An investigation into the creative skill of prompt engineering, International Journal of Human–Computer Interaction 41 (2025) 10207–10229. doi:10.1080/10447318.2024.2431761
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Ajoy S. Fernandes, Murdison , T. Scott, , and Michael J. Proulx. 2025. Looking in Depth: Targeting by Eye and Controller Input for Multi-Depth Target Placement. International Journal of Human–Computer Interaction41, 13 (July 2025). https: //doi.org/10.1080/10447318.2024.2401657 Publisher: Taylor & Francis, pages = 7952–7967,
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Ajoy S. Fernandes, Murdison, T. Scott,, and Michael J. Proulx. 2025. Looking in Depth: Targeting by Eye and Controller Input for Multi-Depth Target Placement. International Journal of Human–Computer Interaction41, 13 (July 2025). https: //doi.org/10.1080/10447318.2024.2401657 Publisher: Taylor & Francis, pages = 7952–7967
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J. Y eon, Y . Jung, Y . Baek, D. Lee, J. Shin, and W. Y . Chung, “User preferences on a generative AI user interface through a choice experiment,” International Journal of Human–Computer Interaction , vol. 41, no. 12, pp. 7626–7637, 2024, doi: 10.1080/10447318.2024.2400379
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J. Y eon, Y . Jung, Y . Baek, D. Lee, J. Shin, and W. Y . Chung, “User preferences on a generative AI user interface through a choice experiment,” International Journal of Human–Computer Interaction, vol. 41, no. 12, pp. 7626–7637, 2024, doi: 10.1080/10447318.2024.2400379
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M. Keil, L. V ervier, P . Brauner, and M. Ziefle, “Will you be watching me? A conjoint-based study on employee attitudes toward personal data usage in smart factories,”International Journal of Human–Computer Interaction, vol. 41, no. 16, pp. 10024–10044, 2024, doi: 10.1080/10447318.2024.2430494
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Warmth, Competence, and the Determinants of Trust in Artificial Intelli- gence: A Cross-Sectional Survey from China.International Journal of Human– Computer Interaction41, 8 (2025), 5024–5038. doi:10.1080/10447318.2024.2356909
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Ruilin Xiao, Mert Yazan, and Frederik B. I. Situmeang. 2025. Rethinking Conver- sation Styles of Chatbots from the Customer Perspective: Relationships between Conversation Styles of Chatbots, Chatbot Acceptance, and Perceived Tie Strength and Perceived Risk.International Journal of Human–Computer Interaction41, 2 (2025), 1343–1363. doi:10.1080/10447318.2024.2314348
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Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, and Sean Rintel and. 2025. Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction.International Journal of Human–Computer Interaction41, 5 (2025), 2898–2919. doi:10.1080/10447318.2024.2405782
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Young Woo Kim, S.H.Y. Min Chul Cha, Lee, S.C.: Not merely useful but also amusing: Impact of perceived usefulness and perceived enjoyment on the adop- tion of ai-powered coding assistant. International Journal of Human–Computer Interaction0(0), 1–13 (2024) https://doi.org/10.1080/10447318.2024.2375701
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Muhammad Umer Khan and Zühal Erden. 2024. A Systematic Review of Social Robots in Shopping Environments. International Journal of Human–Computer Interaction (2024), 1–22. doi:10.1080/10447318.2024.2426740
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Jiyoun Seok, Brandon Hwansun Lee, Dongmi Kim, Sunyoung Bak, Saeyeong Kim, Sungtae Kim, and Somin Park. 2025. What Emotions and Personalities Determine Acceptance of Generative AI?: Focusing on the CASA Paradigm.International Journal of Human–Computer Interaction41, 18 (Sept. 2025), 11436–11458. doi:10.1080/10447318.2024.2443263
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Changhyun Lee and Kyungjin Cha and. 2024. Toward the Dynamic Relationship Between AI Transparency and Trust in AI: A Case Study on ChatGPT.International Journal of Human–Computer Interaction0, 0 (2024), 1–18. arXiv:https://doi.org/10.1080/10447318.2024.2405266 doi:10.1080/ 10447318.2024.2405266
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Soomin Kim, Jinsu Eun, Changhoon Oh, and Joonhwan Lee. 2025. “Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation System.International Journal of Human–Computer Interaction41, 2 (Jan. 2025), 951–969. https://doi.org/10.1080/10447318.2024.2307670
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Jonas Oppenlaender, Rhema Linder, and Johanna Silvennoinen. 2025. Prompt- ing AI Art: An Investigation into the Creative Skill of Prompt Engineer- ing.International Journal of Human–Computer Interaction0, 0 (2025), 1–23. https://doi.org/10.1080/10447318.2024.2431761
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A. Simkute, L. Tankelevitch, V . Kewenig, A. E. Scott, A. Sellen, and S. Rintel. Ironies of generative AI: Understanding and mitigating productivity loss in human-AI interaction.International Journal of Human–Computer Interaction, 41(5):2898–2919, 2025. doi: 10.1080/ 10447318.2024.2405782 9
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Engel, C., Linhardt, L., Schubert, M.: Code is law: how compas affects the way the judiciary handles the risk of recidivism. Artificial Intelligence and Law (2024) https://doi.org/10.1007/s10506-024-09389-8