66
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A closed-loop human-computer interactive design method based on sequential human intention prediction and knowledge recommendation

, , , &
Pages 972-995 | Received 05 Sep 2023, Accepted 13 May 2024, Published online: 23 May 2024

References

  • Ba, J. L., J. R. Kiros, and G. E. Hinton. 2016. “Layer Normalization.” arXiv preprint. https://doi.org/10.48550/arXiv.1607.06450.
  • Bahdanau, D., K. Cho, and Y. Bengio. 2014. “Neural Machine Translation by Jointly Learning to Align and Translate.” arXiv Preprint. https://doi.org/10.48550/arXiv.1409.0473.
  • Chen, Y. F., Z. Q. Gao, F. J. Zhang, Z. Wen, and X. H. Sun. 2022. “Recent Progress in Self-Powered Multifunctional e-Skin for Advanced Applications.” Exploration 2 (1): 20210112. https://doi.org/10.1002/EXP.20210112.
  • Chung, J., C. Gulcehre, K. Cho, and Y. Bengio. 2014. “Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.” arXiv preprint. https://doi.org/10.48550/arXiv.1412.3555.S.
  • Felfernig, A., G. Friedrich, D. Jannach, and M. Zanker. 2006. “An Integrated Environment for the Development of Knowledge-Based Recommender Applications.” International Journal of Electronic Commerce 11 (2): 11–34. https://doi.org/10.2753/JEC1086-4415110201.
  • Gao, L., K. Dai, L. P. Gao, and J. Tao. 2019. “Expert Knowledge Recommendation Systems Based on Conceptual Similarity and Space Mapping.” Expert Systems with Applications 136: 242–251. https://doi.org/10.1016/j.eswa.2019.06.013.
  • Gao, W., X. M. Zhang, Q. S. He, B. R. Lin, and W. X. Huang. 2022. “Command Prediction Based on Early 3D Modeling Design Logs by Deep Neural Networks.” Automation in Construction 133. https://doi.org/10.1016/j.autcon.2021.104026.
  • Gero, J. S. 1990. “Design Prototypes: A Knowledge Representation Schema for Design.” AI Magazine 11 (4): 26. https://doi.org/10.1609/aimag.v11i4.854.
  • Goucher-Lambert, K., J. Moss, and J. Cagan. 2018. “Inspired Internal Search: Using Neuroimaging to Understand Design Ideation and Concept Generation with Inspirational Stimuli.” American Society of Mechanical Engineers, 51845. https://doi.org/10.1115/DETC2018-85690.
  • Graves, A. 2013. “Generating Sequences with Recurrent Neural Networks.” arXiv preprint. https://doi.org/10.48550/arXiv.1308.0850.
  • Graves, A., and J. Schmidhuber. 2005. “Framewise Phoneme Classification with Bidirectional LSTM and Other Neural Network Architectures.” Neural Networks 18 (5-6): 602–610. https://doi.org/10.1016/j.neunet.2005.06.042.
  • Gyory, J. T., K. Goucher-Lambert, K. Kotovsky, and J. Cagan. 2019. “Exploring the Application of Network Analytics in Characterizing a Conceptual Design Space.” Proceedings of the Design Society: International Conference on Engineering Design 1 (1): 1953–1962. https://doi.org/10.1017/dsi.2019.201.
  • He, K. M., X. Y. Zhang, S. Q. Ren, and J. Sun. 2016. “Deep Residual Learning for Image Recognition.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770–778. https://doi.org/10.1109/CVPR.2016.90.
  • Hochreiter, S., and J. Schmidhuber. 1997. “Long Short-Term Memory.” Neural Computation 9 (8): 1735–1780. https://doi.org/10.1162/neco.1997.9.8.1735.
  • Ji, Y., Z. Jiang, X. Li, Y. Huang, and F. Wang. 2023. “A Multitask Context-Aware Approach for Design Lesson-Learned Knowledge Recommendation in Collaborative Product Design.” Journal of Intelligent Manufacturing 34 (4): 1615–1637. https://doi.org/10.1007/s10845-021-01889-7.
  • Jing, L. T., Q. Z. Li, J. F. Ma, J. Xie, X. Peng, J. Q. Li, and S. F. Jiang. 2022. “A Conceptual Design Decision Approach by Integrating Rough Bayesian Network and Game Theory Under Uncertain Behavior Selections.” Expert Systems with Applications 202: 117108. https://doi.org/10.1016/j.eswa.2022.117108.
  • Laosen, N., N. Sanyawong, and E. Nantajeewarawat. 2016. “Recommending Design Patterns Using Task-Based Conceptual Features.” Maejo International Journal of Science & Technology 10 (1): 113–126. https://doi.org/10.14456/mijst.2016.11.
  • Li, X., Q. Xie, Q. Y. Zhu, K. Ren, and J. Z. Sun. 2023. “Knowledge Graph-Based Recommendation Method for Cold Chain Logistics.” Expert Systems with Applications 227. https://doi.org/10.1016/j.eswa.2023.120230.
  • Liu, T. Y., H. F. Wang, and Y. He. 2016. “Intelligent Knowledge Recommending Approach for New Product Development Based on Workflow Context Matching.” Concurrent Engineering 24 (4): 318–329. https://doi.org/10.1177/1063293X16640319.
  • Lopez, R., and P. E. D. Love. 2012. “Design Error Costs in Construction Projects.” Journal of Construction Engineering and Management 138 (5): 585–593. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000454.
  • Lou, S. H., Y. X. Feng, Y. C. Gao, H. Zheng, T. Peng, and J. R. Tan. 2023. “A Function-Behavior Mapping Approach for Product Conceptual Design Inspired by Memory Mechanism.” Advanced Engineering Informatics 58: 102236. https://doi.org/10.1016/j.aei.2023.102236.
  • Lou, S. H., Z. X. Hu, Y. R. Zhang, Y. X. Feng, M. C. Zhou, and C. Lv. 2024. “Human-Cyber-Physical System for Industry 5.0: A Review from a Human-Centric Perspective.” IEEE Transactions on Automation Science and Engineering, 1–18. https://doi.org/10.1109/TASE.2024.3360476.
  • Love, P. E. D., D. J. Edwards, and Z. Irani. 2008. “Forensic Project Management: An Exploratory Examination of the Causal Behavior of Design-Induced Rework.” IEEE Transactions on Engineering Management 55 (2): 234–247. https://doi.org/10.1109/TEM.2008.919677.
  • Ma, S. H., and L. Tian. 2014. “Ontology-Based Semantic Retrieval for Mechanical Design Knowledge.” International Journal of Computer Integrated Manufacturing 28 (2): 226–238. https://doi.org/10.1080/0951192x.2013.874593.
  • Mahmud, M. A. P., T. Tat, X. Xiao, P. Adhikary, and J. Chen. 2021. “Advances in 4D-Printed Physiological Monitoring Sensors.” Exploration 1 (3): 20210033. https://doi.org/10.1002/EXP.20210033.
  • Meng, X. H., and Y. B. Xie. 2010. “Embedded Knowledge Service in Mechanical Product Development.” The International Journal of Advanced Manufacturing Technology 53 (5-8): 669–679. https://doi.org/10.1007/s00170-010-2870-5.
  • Miller, S. W., M. A. Yukish, and T. W. Simpson. 2017. “Design as a Sequential Decision Process.” Structural and Multidisciplinary Optimization 57 (1): 305–324. https://doi.org/10.1007/s00158-017-1756-7.
  • Potdar, K., T. S. Pardawala, and C. D. Pai. 2017. “A Comparative Study of Categorical Variable Encoding Techniques for Neural Network Classifiers.” International Journal of Computer Applications 175 (4): 7–9. https://doi.org/10.5120/ijca2017915495. https://www.researchgate.net/publication/320465713.
  • Puentes, L., A. Raina, J. Cagan, and C. McComb. 2020. “Modeling a Strategic Human Engineering Design Process: Human-Inspired Heuristic Guidance Through Learned Visual Design Agents.” Proceedings of the Design Society: DESIGN Conference 1: 355–364. https://doi.org/10.1017/dsd.2020.42.
  • Rahman, M. H., C. Xie, and Z. H. Sha. 2019. “A Deep Learning Based Approach to Predict Sequential Design Decisions.” Proceedings of the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 59179: V001T02A029. https://doi.org/10.1115/DETC2019-97625.
  • Rahman, M. H., C. Xie, and Z. H. Sha. 2021. “Predicting Sequential Design Decisions Using the Function-Behavior-Structure Design Process Model and Recurrent Neural Networks.” Journal of Mechanical Design 143 (8), https://doi.org/10.1115/1.4049971.
  • Raina, A., C. McComb, and J. Cagan. 2019. “Learning to Design from Humans: Imitating Human Designers Through Deep Learning.” Journal of Mechanical Design 141 (11), https://doi.org/10.1115/1.4044256.
  • Salehinejad, H., S. Sankar, J. Barfett, E. Colak, and S. Valaee. 2017. “Recent Advances in Recurrent Neural Networks.” arXiv preprint. https://doi.org/10.48550/arXiv.1801.01078.
  • Sun, R., X. X. Geng, L. Zhao, Y. C. Wang, and R. F. Guo. 2023. “Research on the Risk-Inducing Factors of Prefabricated Building Design Change Based on Improved DEMATEL-ISM.” Buildings 13 (12): 3036. https://doi.org/10.3390/buildings13123036.
  • Tarus, J. K., Z. D. Niu, and G. Mustafa. 2017. “Knowledge-Based Recommendation: A Review of Ontology-Based Recommender Systems for e-Learning.” Artificial Intelligence Review 50 (1): 21–48. https://doi.org/10.1007/s10462-017-9539-5.
  • Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł Kaiser, and I. Polosukhin. 2017. “Attention is All You Need.” Proceedings of the 31st International Conference on Neural Information Processing Systems, 6000–6010. https://doi.org/10.5555/3295222.3295349.
  • Wu, N., B. Green, X. Ben, and S. O’Banion. 2020a. “Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case.” arXiv Preprint. https://doi.org/10.48550/arXiv.2001.08317.
  • Wu, Z. Y., L. N. He, X. G. Ming, and M. Goh. 2021. “Service-Oriented Knowledge Recommender System and Performance Evaluation in Industrial Product Development.” International Journal of Production Research 60 (20): 6226–6247. https://doi.org/10.1080/00207543.2021.1988748.
  • Wu, Z. Y., L. N. He, Y. Wang, M. Goh, and X. G. Ming. 2020b. “Knowledge Recommendation for Product Development Using Integrated Rough Set-Information Entropy Correction.” Journal of Intelligent Manufacturing 31 (6): 1559–1578. https://doi.org/10.1007/s10845-020-01534-9.
  • Yan, Y., N. Yang, J. Hao, and G. X. Wang. 2016. “A Context Modeling Method of Knowledge Recommendation for Designers.” International Conference on Information System and Artificial Intelligence (ISAI), 492–496. https://doi.org/10.1109/ISAI.2016.0111.
  • Yao, X., S. K. Moon, and G. Bi. 2017. “A Hybrid Machine Learning Approach for Additive Manufacturing Design Feature Recommendation.” Rapid Prototyping Journal 23 (6): 983–997. https://doi.org/10.1108/RPJ-03-2016-0041.
  • Zhang, C., G. H. Zhou, Q. Lu, and F. T. Chang. 2017. “Graph-Based Knowledge Reuse for Supporting Knowledge-Driven Decision-Making in new Product Development.” International Journal of Production Research 55 (23): 7187–7203. https://doi.org/10.1080/00207543.2017.1351643.
  • Zhen, L., Z. H. Jiang, and H. T. Song. 2010. “Distributed Recommender for Peer-to-Peer Knowledge Sharing.” Information Sciences 180 (18): 3546–3561. https://doi.org/10.1016/j.ins.2010.05.036.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.