Does pbkp_redictability play a role in task management? An experimental study with a financial trading simulation


Abstract:

In many complex time-critical tasks such as financial trading, cyber security monitoring, and patient monitoring in critical care, external interruptions and multiple-task situations disrupt the flow of tasks performed by operators leading to errors and accidents. There is an abundance of work reported on interruptions, which informs system designers and researchers on the potential cost of interruptions at different points within a task. However, a gap exists in our understanding of the relationship between interruption disruptiveness and the pbkp_redictability of events that require an operator's response. To understand this better, we conducted an experiment involving 22 participants and a financial trading task. The experiment involved two levels of pbkp_redictability (low and high) and two levels of task load (low and high). The experiment showed that task load had an overall negative effect on events. The results also showed that interruptions negatively affected responses to pbkp_redictable events. However, we found that interruptions did not affect responses to unpbkp_redictable events. Overall, our research suggests that to leverage the role of pbkp_redictability, the goal-activation model should be used to determine the impact of various design options about visual cues and pbkp_redictable-trend durations. The research also reveals that unpbkp_redictable events may be cognitively different from pbkp_redictable events when understanding the influence of interruptions on work, suggesting that interruption management tools may need to treat the situational context (pbkp_redictable or unpbkp_redictable) differently, in providing a supportive workflow for the management of interruptions.

Año de publicación:

2018

Keywords:

  • complex dynamic tasks
  • Interruptions
  • expectancies
  • Financial trading

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Toma de decisiones
  • Simulación por computadora

Áreas temáticas: