Human-Centered Artificial Intelligence: beyond a two-dimensional framework

A late breaking work paper that was submitted to the Human Computer Interaction International Conference in 2022. We took a popular HCI framework and expanded the topic to involve human factors considerations such as attention as a resource, involving the human in or out of the loop, and user characteristics.

Abstract:

Shneiderman’s Human-Centered Artificial Intelligence (HCAI) framework suggests that high human control of automation is necessary to create reliable, safe, and trustworthy systems. The HCAI framework demonstrates that there is no need to sacrifice human control when incorporating higher levels of automation. We propose that Shneiderman’s two-dimensional framework is static and unable to incorporate contextual factors such as the decision for a human-in-the-loop system, cognitive limitations of the user, and user characteristics. The HCAI framework, while an essential foundation, ought to reflect the flexibility of AI systems, while meeting individual differences and situational requirements.


Pacailler, M., Yahoodik, S., Sato, T., Ammons, J., & Still, J. (2022). Human-Centered Artificial Intelligence: Beyond a two-dimensional framework. Paper presented at the Human Computer Interaction International, Gothenburg, Sweden, June 29th.