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相关概念视频

Social Facilitation01:04

Social Facilitation

32.0K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
32.0K
Social Loafing01:37

Social Loafing

34.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
34.8K
Stereotype Content Model02:16

Stereotype Content Model

14.8K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.8K
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

760
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
760
Machines01:19

Machines

305
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
305
Robbers Cave04:49

Robbers Cave

14.3K
During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...
14.3K

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相关实验视频

Updated: Jul 23, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K

在竞争性和协作性人机团队中的人类表现.

Murray S Bennett1,2, Laiton Hedley1, Jonathon Love1

  • 1School of Psychology, The University of Newcastle.

Topics in cognitive science
|July 13, 2023
PubMed
概括
此摘要是机器生成的。

人机团队表现出绩效成本,特别是在竞争环境中. 在人类团队中,协作降低了这些成本,但当与人工智能合作时,降低了成本,从而影响了团队的效率.

关键词:
合作 合作 合作竞争 竞争 竞争 竞争集团业绩表现 集团业绩表现人类AI团队合作工作负载容量 工作负载容量

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The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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One Dimensional Turing-Like Handshake Test for Motor Intelligence
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One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

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相关实验视频

Last Updated: Jul 23, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

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The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

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科学领域:

  • 人与计算机的互动.
  • 团队绩效分析 团队绩效分析
  • 团队中的人工智能

背景情况:

  • 复杂的任务需要团队合作,以提高性能和减少错误.
  • 传统上仅由人组成的团队现在整合了人工智能 (AI) 和机器系统.
  • 了解人机团队动态对于优化协作努力至关重要.

研究的目的:

  • 调查和比较人-人和人-机团队的表现.
  • 分析不同组条件 (协作,竞争,独立) 对团队表现的影响.
  • 适应和应用工作负载能力分析来评估人机团队效率.

主要方法:

  • 使用模仿街机游戏的计算机任务进行性能评估.
  • 操纵群体条件:协作,竞争和独立的工作.
  • 将游戏性能进行比较,并分析跨团队类型和条件的行为模式.

主要成果:

  • 人 - 人和人 - 机组在所有条件下都经历了性能效率成本.
  • 与竞争团队相比,人与人之间的协作团队显示了成本的降低.
  • 在人机配对中,这种协作的好处减少了,这表明了独特的团队动态.

结论:

  • 工作负载容量分析是衡量人机团队绩效的宝贵工具.
  • 在人与人,人与机器之间的协作中,团队合作的动态有很大差异.
  • 优化AI集成需要仔细考虑团队结构和条件,以减轻绩效成本.