SGER: Efficient Strategy Selection-Predictors and Cognitive Mechanisms

SGER：高效策略选择-预测因子和认知机制

• 批准号: 0621560
• 负责人: S. Camille Peres
• 金额: --
• 依托单位: University of Houston - Clear Lake
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2007-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0621560&HistoricalAwards=false
• 关键词: SGER; Efficient; Strategy; Selection; Predictors

This study represents the first step in a plan of programmatic research designed to identify the cognitive processes associated with the transition from novice to expert levels of performance with the use of complex software programs. The unique perspective of this research is the investigation of how social influences (such as watching someone using different techniques) contribute to this transition. Furthermore, the PI will investigate how users' judgment of the costs and benefits of utilizing efficient strategies influences the likelihood of their subsequently utilizing the more efficient method. To test the effects of observing others on the subsequent use of efficient strategies as well as the weighing of the costs and benefits, the PI will employ a quasi-experimental correlational design, in which the predictor is the number of times participants observe someone using the efficient technique and the criteria are their subsequent use of the efficient technique and their weighing of the pros and cons of using that technique. To create a situation in the lab where someone is observing another person using an efficient strategy, participants will be assigned to dyads. One participant will be trained on the use of an efficient technique while the other will be trained on an unrelated task. The dyad will work together to complete a task and the participant trained on the efficient strategy will operate the computer. The number of times the trained participant uses the efficient strategy will be recorded through camera observations, keystroke recordings, and experimenter observations. Subsequent to performing the task together, both participants will individually complete a task similar to the previous task. Again, the number of times the efficient technique is used will be recorded. The PI's hypothesis is that the untrained participants' use of the efficient strategy will be related to the number of times they observed the trained participants use the strategy. Both participants will also be asked to weigh the pros and cons of using the more efficient technique. The intellectual merit of this study is primarily associated with its novel approach to an old problem. Although researchers have previously examined how people achieve expert levels of performance with the use of software programs, the results are certainly equivocal. In this project the PI will specifically investigate how the adoption of efficient micro-strategies (hallmarks of the efficient/expert user) is impacted through observing others.Broader Impacts: The results of this study will indicate whether it is necessary to overtly instruct users regarding how and when to use efficient strategies, or if observing others provides enough information to appropriately adjust users' selection rules to use the more efficient method. If observation alone turns out to be enough to change the selection rules, this will have important implications regarding the cognitive mechanisms associated with selection rule adjustment. Once these cognitive mechanisms are known, this change in selection rule could be modeled with a model of cognitive architecture such as that in ACT-R PM, which is particularly exciting because such a model that accurately predicted the transition from novice to expert levels of performance with complex procedural tasks could be used to test training protocols and interfaces for new devices and software.

这项研究代表了计划的第一步，旨在确定与从新手过渡到专家水平的性能与使用复杂的软件程序的认知过程的程序化研究。 这项研究的独特视角是调查社会影响（如观察某人使用不同的技术）如何促成这种转变。 此外，PI将调查用户对使用有效策略的成本和收益的判断如何影响他们随后使用更有效方法的可能性。 为了测试观察他人对随后使用有效策略的影响以及成本和收益的权衡，PI将采用准实验相关设计，其中预测因素是参与者观察某人使用有效技术的次数，标准是他们随后使用有效技术以及他们使用该技术的利弊权衡。 为了在实验室中创造一种情况，即有人使用有效的策略观察另一个人，参与者将被分配到二人组。 一名参与者将接受有效技术使用的培训，而另一名参与者将接受无关任务的培训。 二人组将共同完成一项任务，接受过有效策略培训的参与者将操作计算机。 将通过摄像机观察、录像和实验者观察记录受训参与者使用有效策略的次数。 在一起执行任务之后，两个参与者将单独完成与前一个任务类似的任务。 同样，将记录使用有效技术的次数。 PI的假设是，未经训练的参与者使用有效策略的次数与他们观察到的受过训练的参与者使用该策略的次数有关。 两位参与者还将被要求权衡使用更有效的技术的利弊。 这项研究的学术价值主要与它对一个老问题的新颖方法有关。 虽然研究人员以前曾研究过人们如何通过使用软件程序达到专家水平的表现，但结果肯定是模棱两可的。 在这个项目中，PI将专门研究如何采用有效的微观策略，（高效/专家用户的标志）通过观察他人而受到影响。这项研究的结果将表明是否有必要公开指导用户如何以及何时使用有效的策略，或者观察其他人是否提供了足够的信息来适当地调整用户的选择规则以使用更有效的方法。 如果观察本身就足以改变选择规则，这将对与选择规则调整相关的认知机制产生重要影响。 一旦这些认知机制是已知的，这种变化的选择规则可以建模与认知架构的模型，如在ACT-R PM，这是特别令人兴奋的，因为这样的模型，准确地预测从新手到专家水平的性能与复杂的程序任务的过渡，可以用来测试培训协议和接口的新设备和软件。