George Mason University, Fairfax, VA, USA.
Hum Factors. 2019 Mar;61(2):243-254. doi: 10.1177/0018720818797553. Epub 2018 Aug 31.
A is a system in which cognitive processes are distributed between brain-based internal and environment-based external resources. In the current experiment, we examined the influence of metacognitive processes on external resource use (i.e., ) in such systems.
High-tech working environments oftentimes represent distributed cognitive systems. Because cognitive offloading can both support and harm performance, depending on the specific circumstances, it is essential to understand when and why people offload their cognition.
We used an extension of the mental rotation paradigm. It allowed participants to rotate stimuli either internally as in the original paradigm or with a rotation knob that afforded rotating stimuli externally on a computer screen. Two parameters were manipulated: the knob's actual reliability (AR) and an instruction altering participants' beliefs about the knob's reliability (believed reliability; BR). We measured cognitive offloading proportion and perceived knob utility.
Participants were able to quickly and dynamically adjust their cognitive offloading proportion and subjective utility assessments in response to AR, suggesting a high level of offloading proficiency. However, when BR instructions were presented that falsely described the knob's reliability to be lower than it actually was, participants reduced cognitive offloading substantially.
The extent to which people offload their cognition is not based solely on utility maximization; it is additionally affected by possibly erroneous preexisting beliefs.
To support users in efficiently operating in a distributed cognitive system, an external resource's utility should be made transparent, and preexisting beliefs should be adjusted prior to interaction.
是一种认知过程分布于基于大脑的内部资源和基于环境的外部资源的系统。在当前的实验中,我们研究了元认知过程对这种系统中的外部资源利用(即认知卸载)的影响。
高科技工作环境通常代表分布式认知系统。由于认知卸载既可以支持也可以损害性能,具体取决于特定情况,因此了解人们何时以及为何卸载认知至关重要。
我们使用了心理旋转范式的扩展。它允许参与者在内部旋转刺激,就像原始范式一样,或者使用旋转旋钮在计算机屏幕上外部旋转刺激。我们操纵了两个参数:旋钮的实际可靠性(AR)和改变参与者对旋钮可靠性的信念的指令(相信可靠性;BR)。我们测量了认知卸载比例和感知旋钮效用。
参与者能够快速动态地根据 AR 调整他们的认知卸载比例和主观效用评估,表明他们具有很高的卸载能力。然而,当呈现的 BR 指令错误地描述旋钮的可靠性低于实际可靠性时,参与者会大幅减少认知卸载。
人们卸载认知的程度不仅基于效用最大化;它还受到可能错误的先验信念的影响。
为了支持用户在分布式认知系统中高效操作,应该使外部资源的效用透明化,并在交互之前调整先验信念。