全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Designing the Future: A Case Study on Human-AI Co-Innovation

DOI: 10.4236/ce.2024.153028, PP. 474-494

Keywords: Human-Robot Collaboration, AI-Assisted Visual Design, Design Efficiency, Cross-Field Collaboration

Full-Text   Cite this paper   Add to My Lib

Abstract:

Artificial intelligence (AI) has sparked widespread discussion across various sectors globally while triggering a transformation in the design industry. In recent years, the evolution of AI has started to reshape how people work and live. As such, the human-robot collaboration model is gradually emerging as a pivotal force driving innovation and boosting efficiency. As it rapidly advances, AI technology can process a vast amount of data while performing complex tasks and assisting designers with intricate and creative work. By automating repetitive, low-value tasks using AI technology, designers can focus on activities that require intensive creativity, critical thinking, and emotional intelligence. The present case study examines how human-robot collaboration elicits advantages in creative design. An analysis of the AI-assisted visual design project “ZhuoluFantasie” indicates that complementary human-AI collaboration can enhance design efficiency and assist designers in transcending creative boundaries. Through the process of content planning, text generation, graphics generation, graphics selection, confirmation, and finalization, the 7000 images were ultimately condensed into 27 AI-assisted visual designs. This provides opportunities for cross-field collaboration while introducing new possibilities into the creative design field.

References

[1]  Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A Learning Algorithm for Boltzmann Machines. Cognitive Science, 9, 147-169.
https://www.sciencedirect.com/science/article/abs/pii/S0364021385800124
https://doi.org/10.1016/S0364-0213(85)80012-4
[2]  Amri, A. (2023). Artificial Intelligence (AI) Website Developer: Aesthetic Convenience for Web Designers and Graphic Designers without Coding. Jurnal Inovatif, 6, 121-125.
[3]  Anantrasirichai, N., & Bull, D. (2022). Artificial Intelligence in the Creative Industries: A Review. Artificial Intelligence Review, 55, 589-656.
https://doi.org/10.1007/s10462-021-10039-7
[4]  Autodesk (2024). Generative Design AI.
https://www.autodesk.com/solutions/generative-design-ai-software
[5]  Birdsall, M. (2014). Google and ITE: The Road Ahead for Self-Driving Cars. ITE Journal, 84, 36-39.
https://scholar.google.com/scholar_lookup?title=Google and ITE: The road ahead for self-driving cars&author=Birdsall, M.&publication_year=2014&journal=ITE J. (Inst. Transp. Eng.)&volume=84&pages=36–39
[6]  Borji, A. (2022). Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2. arXiv: 2210.00586
https://arxiv.org/abs/2210.00586
[7]  Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., Henke, N., & Trench, M. (2017). Artificial Intelligence: The Next Digital Frontier. McKinsey Global Institute.
https://www.mckinsey.com/~/media/mckinsey/industries/advanced electronics/our insights/how artificial intelligence can deliver real value to companies/mgi-artificial-intelligence-discussion-paper.ashx
[8]  Castiglioni, I., Rundo, L., Codari, M., Di Leo, G., Salvatore, C., Interlenghi, M., Gallivanone, F., Cozzi, A., D’Amico, N. C., & Sardanelli, F. (2021). AI Applications to Medical Images: From Machine Learning to Deep Learning. Physica Medica, 83, 9-24.
https://doi.org/10.1016/j.ejmp.2021.02.006
[9]  Castro Pena, M. L., Carballal, A., Rodríguez-Fernández, N., Santos, I., & Romero, J. (2021). Artificial Intelligence Applied to Conceptual Design: A Review of Its Use in Architecture. Automation in Construction, 124, Article 103550.
https://doi.org/10.1016/j.autcon.2021.103550
[10]  Chen, J., Wang, D., Shao, Z., Zhang, X., Ruan, M., Li, H., & Li, J. (2023). Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions. Buildings, 13, Article 2285.
https://doi.org/10.3390/buildings13092285
[11]  Clements, L. M., & Kockelman, K. M. (2017). Economic Effects of Automated Vehicles. Transportation Research Record, 2606, 106-114.
https://scholar.google.com/scholar_lookup?title=Economic effects of automated vehicles&author=Clements, L.M.&author=Kockelman, K.M.&publication_year=2017&journal=Trans. Res. Rec.&volume=2606&pages=106–114&doi=10.3141/2606-14
https://doi.org/10.3141/2606-14
[12]  Dafoe, A., Bachrach, Y., Hadfield, G., Horvitz, E., Larson, K., & Graepel, T. (2021). Cooperative AI: Machines Must Learn to Find Common Ground. Nature, 593, 33-36.
https://doi.org/10.1038/d41586-021-01170-0
[13]  Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. (2019). Application of Artificial Intelligence in Automation of Supply Chain Management. Journal of Strategic Innovation and Sustainability, 14, 43-53.
https://doi.org/10.33423/jsis.v14i3.2105
[14]  Daugherty, P. R., & Wilson, H. J. (2018). Human Machine: Reimagining Work in the Age of AI. Harvard Business Review Press.
https://books.google.com.tw/books?hl=zh-TW&lr=&id=wpY4DwAAQBAJ&oi=fnd&pg=PT14&dq=AI and Human Collaboration AI will change the way work is done&ots=Kv6spXfJER&sig=5aOPWvqANk7JfZt9bgVlsCmR5GA&redir_esc=y#v=onepage&q=AI and Human Collaboration AI will change the way work is done&f=false
[15]  Dlamini, Z., Francies, F. Z., Hull, R., & Marima, R. (2020). Artificial Intelligence (AI) and Big Data in Cancer and Precision Oncology. Computational and Structural Biotechnology Journal, 18, 2300-2311.
https://doi.org/10.1016/j.csbj.2020.08.019
[16]  Doehling, R. M. (2019). Automation in Graphic Design. Honors College, Georgia Southern University.
https://digitalcommons.georgiasouthern.edu/honors-theses/400/
[17]  Doxsee, L. (2018). Final Report on the Troubles in Japans Anime Industry. Bradley University.
[18]  Duarte, F. (2019). Self-Driving Cars: A City Perspective. Science Robotics, 4, eaav9843.
https://doi.org/10.1126/scirobotics.aav9843
[19]  Dubey, A., Bhardwaj, N., Abhinav, K., Kuriakose, S. M., Jain, S., & Arora, V. (2020). AI Assisted Apparel Design. arXiv: 2007.04950
[20]  Duong, D. (2022). Artificial Intelligence: AI in Fashion and Beauty E-Commerce—Zara, Sephora. LAB University of Applied Sciences.
https://www.theseus.fi/handle/10024/783204
[21]  Feng, K. J., Li, T. W., & Zhang, A. X. (2023). Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20). ACM Press.
https://doi.org/10.1145/3544548.3581273
[22]  Ferrandiz, J., Banawi, A., & Peña, E. (2018). Evaluating the Benefits of Introducing “BIM” Based on Revit in Construction Courses, without Changing the Course Schedule. Universal Access in the Information Society, 17, 491-501.
https://doi.org/10.1007/s10209-017-0558-4
[23]  French, F., Levi, D., Maczo, C., Simonaityte, A., Triantafyllidis, S., & Varda, G. (2023). Creative Use of OpenAI in Education: Case Studies from Game Development. Multimodal Technologies and Interaction, 7, Article 81.
https://doi.org/10.3390/mti7080081
[24]  Frosio, G. (2023). The Artificial Creatives: The Rise of Combinatorial Creativity from Dall-E to GPT-3. In M. Garcia-Murillo, I. MacInnes, & A. Renda (Eds.), Handbook of Artificial Intelligence at Work: Interconnections and Policy Implications (pp. 225-249). Queen’s University Belfast Law Research Paper.
https://doi.org/10.4337/9781800889972.00020
[25]  Ghahramani, M., Qiao, Y., Zhou, M. C., O’Hagan, A., & Sweeney, J. (2020). AI-based Modeling and Data-Driven Evaluation for Smart Manufacturing Processes. IEEE/CAA Journal of Automatica Sinica, 7, 1026-1037.
https://ieeexplore.ieee.org/abstract/document/9049451
https://doi.org/10.1109/JAS.2020.1003114
[26]  Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative Adversarial Nets. In Z. Ghahramani et al. (Eds.), Advances in Neural Information Processing Systems 27 (NIPS 2014).
https://proceedings.neurips.cc/paper_files/paper/2014/hash/5ca3e9b122f61f8f06494c97b1afccf3-Abstract.html
[27]  Greenblatt, N. A. (2016). Self-Driving Cars and the Law. IEEE Spectrum, 53, 46-51.
https://scholar.google.com/scholar_lookup?title=Self-driving cars and the law&author=Greenblatt, N.A.&publication_year=2016&journal=IEEE Spect.&volume=53&pages=46–51&doi=10.1109/MSPEC.2016.7419800
https://doi.org/10.1109/MSPEC.2016.7419800
[28]  Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., Moustafa, R., Hegde, D. R., & Hawkins, G. (2021). How Artificial Intelligence Will Affect the Future of Retailing. Journal of Retailing, 97, 28-41.
https://www.sciencedirect.com/science/article/abs/pii/S0022435921000051
https://doi.org/10.1016/j.jretai.2021.01.005
[29]  Gupta, S. C., Singh, N. R., Sharma, T., Tyagi, A., & Majumdar, R. (2021). Generating Image Captions using Deep Learning and Natural Language Processing. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (pp. 1-4). IEEE.
https://doi.org/10.1109/ICRITO51393.2021.9596486
[30]  Hassabis, D., Suleyman, M., & King, D. (2018). Scaling Streams with Google. Google DeepMind.
https://deepmind.google/discover/blog/scaling-streams-with-google/
[31]  Horsey, J. (2023). Dall-E 3 vs Stable Diffusion vs Midjourney. Geeky Gadgets.
https://www.geeky-gadgets.com/dall-e-3-vs-stable-diffusion-vs-midjourney/
[32]  Hoşer, M., & Köymen, E. (2023). Analysis of Text-to-Image Artificial Intelligence Systems in Terms of Contribution to Interior Coloring. Bilişim Teknolojileri Dergisi, 16, 275-283.
https://doi.org/10.17671/gazibtd.1252993
[33]  Ibukun, P. P., Adeleke, A. A., Agboola, O. O., Christopher, C. T., Ademola, S. B., Okonkwo, J. O., Adesina, O. A., & Akinlabi, E. T. (2022). Present and Future Impacts of Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM). Journal Européen des SystèmesAutomatisés, 55, 349-357.
https://doi.org/10.18280/jesa.550307
[34]  Indriasari, E., Gaol, F. L., & Matsuo, T. (2019). Digital Banking Transformation: Application of Artificial Intelligence and Big Data Analytics for Leveraging Customer Experience in the Indonesia Banking Sector. In 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) (pp. 863-868). IEEE.
https://ieeexplore.ieee.org/abstract/document/8992702
https://doi.org/10.1109/IIAI-AAI.2019.00175
[35]  Ives, B., Cossick, K., & Adams, D. (2019). Amazon Go: Disrupting Retail? Journal of Information Technology Teaching Cases, 9, 2-12.
https://doi.org/10.1177/2043886918819092
[36]  Jeon, Y., Jin, S., Shih, P. C., & Han, K. (2021). FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion Design. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI21) (pp. 1-18). ACM Press.
https://dl.acm.org/doi/abs/10.1145/3411764.3445093
https://doi.org/10.1145/3411764.3445093
[37]  Jin, B. E., Cedrola, E., & Kim, N. (2019). Process Innovation: Hidden Secret to Success and Efficiency. In B. Jin, & E. Cedrola (Eds.), Process Innovation in the Global Fashion Industry. Palgrave Studies in Practice: Global Fashion Brand Management (pp. 1-20). Palgrave Pivot.
https://link.springer.com/chapter/10.1057/978-1-137-52352-5_1#chapter-info
https://doi.org/10.1057/978-1-137-52352-5_1
[38]  Karataa, E. (2018). Usage of Artificial Intelligence in Today’s Graphic Design. Online Journal of Art and Design, 6, 183-198.
http://www.adjournal.net/articles/64/6410.pdf
[39]  Kim, J., Kang, S., & Bae, J. (2021). The Effects of Customer Consumption Goals on Artificial Intelligence Driven Recommendation Agents: Evidence from Stitch Fix. International Journal of Advertising, 41, 997-1016.
https://www.tandfonline.com/doi/citedby/10.1080/02650487.2021.1963098?scroll=top&needAccess=true
https://doi.org/10.1080/02650487.2021.1963098
[40]  Kim, M., & Yim, E. (2022). Technologization in Fashion Products—Focusing on the Cases on Online Fashion Media. Journal of the Korean Society of Clothing and Textiles, 24, 15-28.
http://www.clothing.or.kr/pdf_files/pdf_file/24_1_02_015-028(21-575).pdf
https://doi.org/10.5805/SFTI.2022.24.1.15
[41]  Ko, H. K., Park, G., Jeon, H., Jo, J., Kim, J., & Seo, J. (2023). Large-Scale Text-to-Image Generation Models for Visual Artists’ Creative Works. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI23) (pp. 919-933). Association for Computing Machinery.
https://doi.org/10.1145/3581641.3584078
[42]  Lee, T., Yasunaga, M., Meng, C., Mai, Y., Park, J. S., Gupta, A., Zhang, Y., Narayanan, D., Teufel, H. B., Bellagente, M., Kang, M., Park, T., Leskovec, J., Zhu, J. Y., Li, F. F., Wu, J., Ermon, S., & Liang, P. (2023). Holistic Evaluation of Text-to-Image Models. arXiv: 2311.04287
https://arxiv.org/abs/2311.04287
[43]  Nardi, B. (2017). Automation and Heteromation: The Future (and Present) of Labor. Platypus—CASTAC Blog.
https://blog.castac.org/2017/05/automation-and-heteromation/
[44]  Naveen, S., Ram Kiran, M. S. S., Indupriya, M., Manikanta, T. V., & Sudeep, P. V. (2021). Transformer Models for Enhancing AttnGAN Based Text to Image Generation. Image and Vision Computing, 115, Article 104284.
https://doi.org/10.1016/j.imavis.2021.104284
[45]  Phuyal, S., Bista, D., & Bista, R. (2020). Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review. Sustainable Futures, 2, Article 100023.
https://www.sciencedirect.com/science/article/pii/S2666188820300162?via=ihub
https://doi.org/10.1016/j.sftr.2020.100023
[46]  Roose, K. (2022). An A.I.-Generated Picture Won an Art Prize. Artists Aren’t Happy. The New York Times.
https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html
[47]  Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019). Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges. IEEE Access, 7, 48572-48634.
https://doi.org/10.1109/ACCESS.2019.2909530
[48]  Stability AI (2023). Stable Diffusion 2.0 Release.
https://stability.ai/news/stable-diffusion-v2-release
[49]  Steinfeld, K. (2023). Clever Little Tricks: A Socio-Technical History of Text-to-Image Generative Models. International Journal of Architectural Computing, 21, 211-241.
https://journals.sagepub.com/doi/10.1177/14780771231168230
https://doi.org/10.1177/14780771231168230
[50]  Weber, F. D., & Schütte, R. (2019). State-of-the-Art and Adoption of Artificial Intelligence in Retailing. Digital Policy, Regulation and Governance, 21, 264-279.
https://www.emerald.com/insight/content/doi/10.1108/dprg-09-2018-0050/full/html
https://doi.org/10.1108/DPRG-09-2018-0050
[51]  Wilson, H. J., & Daugherty, P. R. (2019). Collaborative Intelligence: Humans and AI Are Joining Forces. Harvard Business Review Taiwan.
https://www.hbrtaiwan.com/article/18052/collaborative-intelligence-humans-and-ai-are-joining-forces
[52]  Wu, Z., Ji, D., Yu, K., Zeng, X., Wu, D., & Shidujaman, M. (2021). AI Creativity and the Human-AI Co-creation Model. In M. Kurosu (Ed.), Human-Computer Interaction. Theory, Methods and Tools, HCII 2021, Lecture Notes in Computer Science (Vol. 12762, pp. 171-190). Springer.
https://link.springer.com/chapter/10.1007/978-3-030-78462-1_13
https://doi.org/10.1007/978-3-030-78462-1_13
[53]  Xie, M. (2019). Development of Artificial Intelligence and Effects on Financial System. Journal of Physics: Conference Series, 1187, Article 032084.
https://doi.org/10.1088/1742-6596/1187/3/032084
[54]  Xie, M. H. (2020). Application and Potential Impact of AI in the Development of the Financial Industry. National Chengchi University Industry-Academia Operation and Innovation Incubation Center.
https://www.tpefx.com.tw/uploads/download/tw/Application and potential impact of AI in the development of the financial industry.pdf
[55]  Yao, X., Zhou, J., Zhang, J., & Boër, C. R. (2017). From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further on. In 2017 5th International Conference on Enterprise Systems (ES) (pp. 311-318). IEEE.
https://ieeexplore.ieee.org/abstract/document/8119409
https://doi.org/10.1109/ES.2017.58
[56]  Zhang, C., & Lu, Y. (2021). Study on Artificial Intelligence: The State of the Art and Future Prospects. Journal of Industrial Information Integration, 23, Article 100224.
https://scholar.google.com/scholar?hl=zh-TW&as_sdt=0,5&q=Study on artificial intelligence: The state of the art and future prospects&btnG
https://doi.org/10.1016/j.jii.2021.100224

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133