移情
头脑风暴
选择(遗传算法)
自举(财务)
团队构成
工程设计过程
过程(计算)
人气
计算机科学
心理学
多样性(政治)
知识管理
工程类
社会心理学
人工智能
社会学
数学
人类学
计量经济学
操作系统
机械工程
作者
Mohammad Alsager Alzayed,Scarlett R. Miller,Jessica Menold,Jacquelyn Huff,Christopher McComb
标识
DOI:10.1115/detc2020-22432
摘要
Abstract Research on empathy has been surging in popularity in the engineering design community since empathy is known to help designers develop a deeper understanding of the users’ needs. Because of this, the design community has been invested in devising and assessing empathic design activities. However, research on empathy has been primarily limited to individuals, meaning we do not know how it impacts team performance, particularly in the concept generation and selection stages of the design process. Specifically, it is unknown how the empathic composition of teams, average (elevation) and standard deviation (diversity) of team members’ empathy, would impact design outcomes in the concept generation and selection stages of the design process. Therefore, the goal of the current study was to investigate the impact of team trait empathy on concept generation and selection in an engineering design student project. This was accomplished through a computational simulation of 13,482 teams of noninteracting brainstorming individuals generated by a statistical bootstrapping technique drawing upon a design repository of 806 ideas generated by first-year engineering students. The main findings from the study indicate that the elevation in team empathy positively impacted simulated teams’ unique idea generation and selection while the diversity in team empathy positively impacted teams’ generation of useful ideas. The results from this study can be used to guide team formation in engineering design.
科研通智能强力驱动
Strongly Powered by AbleSci AI