Skip to main content

Advertisement

Log in

Research on human–AI co-creation based on reflective design practice

  • Regular Paper
  • Published:
CCF Transactions on Pervasive Computing and Interaction Aims and scope Submit manuscript

Abstract

Artificial intelligence has appeared in every aspect of our life, whether it is a large number of data analysis and repetitive work, or the scanning recognition in life, AI has become an essential application technology. How humans and AI will coexist in the future is a thought-provoking question. The involvement of AI will lead to changes in design method and process, the designers and researchers need to conduct research on future designs from a new perspective. We selected the field of design practice and put forward the concept of human–AI co-creation (HACC), aiming to study how AI can better design and create with people. We use ethnographic design research methods to summarize how teachers guide students in design practice, and summarize the normative vocabulary that AI guides students to use in experiments. Finally, we summarize the basic elements of HACC, and then use the “Wizard of OZ” method to simulate HACC experiment, and further improve the HACC model through video observation and data analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • AIHGF. Ali Luban AI Design. https://www.aiuai.cn/aifarm804.html (2019). Accessed 18 Oct 2019

  • Buxton, B.: Sketching user experiences: getting the design right and the right design. Morgan Kaufmann; 2010

  • Chakraborti, T., Kambhampati, S., Scheutz, M., Zhang, Y.: AI challenges in human–robot cognitive teaming. arXiv: Artificial Intelligence (2017)

  • Chen, Z., Liu, Q.: Exploration and application of artificial intelligence technology in the field of speech interaction. Inf. Technol. Stand. Z1, 16–20 (2019)

    Google Scholar 

  • Cross, N.: Designerly ways of knowing. Springer; 2010

  • Dove, G., Halskov, K., Forlizzi, J., Zimmerman, J.: UX design innovation: challenges for working with machine learning as a design material. In: The 2017 CHI Conference on Human Factors in Computing Systems, pp. 278–288 (2017)

  • Fallman, D.: Design-oriented human–computer interaction. In: CHI ‘03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 225–232 (2003)

  • Feldman, S.. Co-creation: human and ai collaboration in creative expression. Electron. Visual. Arts (2017)

  • Huang, Z., Heng, W., Zhou, S.: Learning to paint with model-based deep reinforcement learning, Comput. Vis. Pattern Recogn. (2019)

  • Kelley, J.F.: An empirical methodology for writing user-friendly natural language computer applications. In: CHI ‘83: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 193–196 (1983)

  • Looka Logo design. https://looka.com/logo-maker/ (2019). Accessed 19 Oct 2019

  • Ma, X.: Towards human-engaged AI. In: IJCAI International Joint Conference on Artificial Intelligence, pp. 5682–5686 (2018)

  • Maeda, J.: Design in Tech Report 2017. KPCB (2017). https://designintechreport.wordpress.com/2017/03/11/design-in-tech-report-2017/. Accessed 19 Oct 2019

  • Niksirat, K.S., Sarcar, S., Sun, H., Law, E.L.-C., Clemmensen, T., Bardzell, J., Oulasvirta, A., Silpasuwanchai, C., Light, A., Ren, X.: Approaching engagement towards human-engaged computing. In: The 2018 CHI Conference on Human Factors in Computing Systems (2018)

  • Raban, D.R., Danan, A., Ronen, I., Guy I.: Impression formation in corporate people tagging. In: CHI ‘12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 569–578 (2012)

  • Schon, D.A.: Educating the Reflective Practitioner: Toward a New Design for Teaching and Learning in the Professions. Jossey-Bass, San Francisco (1990)

    Google Scholar 

  • SketchRNN. https://magenta.tensorflow.org/assets/sketch_rnn_demo/index.html (2016). Accessed 20 Oct 2019

  • Talk, Z.: New idea for AI development: once you learn to draw, you can think like a human. Zaojiu (2017). https://www.zaojiu.com/talks/1366

  • Wang, D., Yang, Q., Abdul, A., Lim, B.Y.: Designing theory-driven user-centric explainable AI. In: The 2019 CHI Conference on Human Factors in Computing Systems (2019)

  • Wix Web design. https://www.wix.com (2006). Accessed 19 Oct 2019

  • Yang, Q., Cranshaw, J., Amershi, S., Iqbal, S.T., Teevan, J.: Sketching NLP: a case study of exploring the right things to design with language intelligence. In: The 2019 CHI Conference on Human Factors in Computing Systems (2019)

  • Zhang, H.: A brief history of artificial intelligence and art concepts. The art of international. http://review.artintern.net/html.php?id=76985&page=2 (2018). Accessed 20 Oct 2019

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhiyong Fu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fu, Z., Zhou, Y. Research on human–AI co-creation based on reflective design practice. CCF Trans. Pervasive Comp. Interact. 2, 33–41 (2020). https://doi.org/10.1007/s42486-020-00028-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42486-020-00028-0

Keywords

Navigation