References

Re-examining whether, why, and how human-AI interaction is uniquely difficult to design

Qian Yang, Aaron Steinfeld, Carolyn Rosé, & John Zimmerman (2020)

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-13.

DOI: https://doi.org/10.1145/3313831.3376301

Abstract. Yang et al.'s foundational analysis of why prototyping ML-driven UX is harder than prototyping traditional UX — uncertainty about capability, and uncertainty about output complexity. The reference cited in modern HCI literature on AI prototyping methods.

Tags: predictive ai prototyping hci

This site is currently in Beta. Contact: Chris Paton

Textbook of AI · Textbook of Digital Health

Auckland Maths and Science Tutoring