Work Design in AI-based Applications: The Role of Advice Provision Timing

Yin Jiamin (PhD Student)
Contact Person
Dr TEO Hock Hai, Provost's Chair Professor, School of Computing

  02 Oct 2019 Wednesday, 03:00 PM to 04:30 PM

 Executive Classroom, COM2-04-02

Examiners: A/P Heng Cheng Suang and Dr Desmond Ong


Recently, increasingly more applications of evidence-based algorithms have been employed to aid users in problem solving in the workplace. This study extends prior literature on algorithm use by investigating the effect of the timing of providing machine-generated advice (i.e., before versus after the formation of one's own judgments) on users' algorithmic advice utilization behavior and decision outcomes in a clinical diagnosis context. We further propose one boundary condition for this effect: algorithm interpretability. To this end, a randomized lab experiment will be conducted in the context of acute appendicitis diagnosis among medical school students from a large national university in Singapore.