目的:本研究探讨存在手机成瘾大学生在“冷”“热”表征下的抑制控制能力,旨在帮助大学生和教育工作者认识到手机成瘾与个体抑制控制能力的关系。方法:本研究采用2 × 2的混合实验设计,采用方便取样的方法,使用手机成瘾指数量表(MP...目的:本研究探讨存在手机成瘾大学生在“冷”“热”表征下的抑制控制能力,旨在帮助大学生和教育工作者认识到手机成瘾与个体抑制控制能力的关系。方法:本研究采用2 × 2的混合实验设计,采用方便取样的方法,使用手机成瘾指数量表(MPAI)进行筛选。选取33名存在手机成瘾的大学生和33名不存在手机成瘾的大学生。以手机使用相关的图片为实验材料,使用GO/NOGO任务测量被试在“冷”、“热”表征材料下的总正确率、NOGO试次错误率以及反应时,以此反映被试的抑制控制水平。结果:1) 手机成瘾的大学生抑制控制能力低于非手机成瘾大学生。2) 在“热”和“冷”表征条件下,手机成瘾大学生均表现出抑制控制能力不足。结论:大学生的手机成瘾与其抑制控制能力有关。Objective: This study explored the inhibitory control ability of university students with smartphone addiction under “cold” and “hot” representations, aiming to help university students and educators recognize the relationship between smartphone addiction and individual inhibitory control ability. Methods: This study was conducted using a 2 × 2 mixed experimental design with convenience sampling and screening using the Mobile Phone Addiction Index Inventory (MPAI). Thirty-three university students with smartphone addiction and 33 university students without smartphone addiction were selected. Using pictures related to smartphone use as experimental materials, the GO/NOGO task was used to measure the total correct rate, NOGO trial error rate, and response time of the subjects under the “cold” and “hot” representational materials, thus reflecting the level of inhibitory control of the subjects. Results: 1) The inhibitory control ability of smartphone addicted college students was lower than that of non-smartphone addicted college students. 2) In both the “hot” and “cold” conditions, smartphone addicted university students showed a lack of inhibitory control. Conclusion: Smartphone addiction among university students is related to their inhibitory control ability.展开更多
文摘目的:本研究探讨存在手机成瘾大学生在“冷”“热”表征下的抑制控制能力,旨在帮助大学生和教育工作者认识到手机成瘾与个体抑制控制能力的关系。方法:本研究采用2 × 2的混合实验设计,采用方便取样的方法,使用手机成瘾指数量表(MPAI)进行筛选。选取33名存在手机成瘾的大学生和33名不存在手机成瘾的大学生。以手机使用相关的图片为实验材料,使用GO/NOGO任务测量被试在“冷”、“热”表征材料下的总正确率、NOGO试次错误率以及反应时,以此反映被试的抑制控制水平。结果:1) 手机成瘾的大学生抑制控制能力低于非手机成瘾大学生。2) 在“热”和“冷”表征条件下,手机成瘾大学生均表现出抑制控制能力不足。结论:大学生的手机成瘾与其抑制控制能力有关。Objective: This study explored the inhibitory control ability of university students with smartphone addiction under “cold” and “hot” representations, aiming to help university students and educators recognize the relationship between smartphone addiction and individual inhibitory control ability. Methods: This study was conducted using a 2 × 2 mixed experimental design with convenience sampling and screening using the Mobile Phone Addiction Index Inventory (MPAI). Thirty-three university students with smartphone addiction and 33 university students without smartphone addiction were selected. Using pictures related to smartphone use as experimental materials, the GO/NOGO task was used to measure the total correct rate, NOGO trial error rate, and response time of the subjects under the “cold” and “hot” representational materials, thus reflecting the level of inhibitory control of the subjects. Results: 1) The inhibitory control ability of smartphone addicted college students was lower than that of non-smartphone addicted college students. 2) In both the “hot” and “cold” conditions, smartphone addicted university students showed a lack of inhibitory control. Conclusion: Smartphone addiction among university students is related to their inhibitory control ability.
