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The Grounded Expertise Components Approach in the Novel Area of Cryptic Crossword Solving

机译:隐秘填字游戏新颖领域中的扎根专业知识成分方法

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摘要

This paper presents a relatively unexplored area of expertise research which focuses on the solving of British-style cryptic crossword puzzles. Unlike its American “straight-definition” counterparts, which are primarily semantically-cued retrieval tasks, the British cryptic crossword is an exercise in code-cracking detection work. Solvers learn to ignore the superficial “surface reading” of the clue, which is phrased to be deliberately misleading, and look instead for a grammatical set of coded instructions which, if executed precisely, will lead to the correct (and only) answer. Sample clues are set out to illustrate the task requirements and demands. Hypothesized aptitudes for the field might include high fluid intelligence, skill at quasi-algebraic puzzles, pattern matching, visuospatial manipulation, divergent thinking and breaking frame abilities. These skills are additional to the crystallized knowledge and word-retrieval demands which are also a feature of American crossword puzzles. The authors present results from an exploratory survey intended to identify the characteristics of the cryptic crossword solving population, and outline the impact of these results on the direction of their subsequent research. Survey results were strongly supportive of a number of hypothesized skill-sets and guided the selection of appropriate test content and research paradigms which formed the basis of an extensive research program to be reported elsewhere. The paper concludes by arguing the case for a more grounded approach to expertise studies, termed the Grounded Expertise Components Approach. In this, the design and scope of the empirical program flows from a detailed and objectively-based characterization of the research population at the very onset of the program.
机译:本文介绍了一个相对未开发的专业知识研究领域,其重点是解决英式隐秘填字游戏。与美国的“直接定义”对应词(主要是语义提示的检索任务)不同,英国的神秘填字游戏是对代码破解检测工作的一种练习。解算者学会忽略线索的表面“表面解读”,这被表述为故意误导,而是寻找一套语法正确的编码指令,如果精确执行,将得出正确的(唯一的)答案。给出了示例线索以说明任务要求和要求。虚拟化的领域天赋可能包括较高的流体智力,准代数难题的技巧,模式匹配,视觉空间操纵,发散性思维和突破框架能力。这些技能是结晶知识和单词检索要求的补充,而这也是美国填字游戏的特征。作者提出了一项探索性调查的结果,该调查旨在确定隐秘填字游戏解决群体的特征,并概述这些结果对其后续研究方向的影响。调查结果强烈支持了许多假设的技能,并指导了对适当考试内容和研究范式的选择,这些构成了广泛研究计划的基础,将在其他地方进行报道。本文最后通过论证一种更扎实的专业知识研究方法(称为“专业知识成分基础方法”)来进行总结。在这种情况下,实证计划的设计和范围源于该计划一开始就对研究人群进行了详细,客观的描述。

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