When immediate interactive feedback boosts optimization problem solving: A ‘human-in-the-loop’ approach for solving Capacitated Vehicle Routing Problems
作者：
Highlights：
• Participants solved paper-based and computerized interactive CVRPs.
• Paper-based post-problem feedback did not affect human performance.
• Concurrent interactive feedback boosts human optimization performance.
• Concurrent explanatory feedback improves performance quality but reduces speed.
• Computerized metacognitive support improves human performance on CVRPs.
摘要
•Participants solved paper-based and computerized interactive CVRPs.•Paper-based post-problem feedback did not affect human performance.•Concurrent interactive feedback boosts human optimization performance.•Concurrent explanatory feedback improves performance quality but reduces speed.•Computerized metacognitive support improves human performance on CVRPs.
论文关键词：Human-in-the-loop,Interactive route optimization,Human performance,Concurrent feedback,Metacognition
论文评审过程：Received 20 November 2016, Revised 4 March 2017, Accepted 6 March 2017, Available online 14 March 2017, Version of Record 22 March 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.03.019
