Studying Sustained Attention and Cognitive States in Remote Technical Interviews
- Denae Ford ,
- Titus Barik ,
- Chris Parnin
In proceedings of the ACM ICER 3rd International Workshop on Eye Movements in Programming (EMIP) |
In this position paper, we argue that eye tracking can be used to understand the underlying cognitive states of a programmer during remote technical interviews, specifically programming interviews. We describe a mock-interview experiment that applies eye tracking to identify these cognitive states, and propose two computational interventions that support an interviewer and a candidate. We posit that these interventions will increase the effectiveness of remote technical interviews.