Computationally resurrecting the functional Remote Associates Test using cognitive word associates and principles from a computational solver.

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Title: Computationally resurrecting the functional Remote Associates Test using cognitive word associates and principles from a computational solver.
Authors: Olteţeanu, Ana-Maria1 ana-maria.olteteanu@fu-berlin.de, Schöttner, Mikkel1,2, Schuberth, Susanne3
Source: Knowledge-Based Systems. Mar2019, Vol. 168, p1-9. 9p.
Subjects: Remote associates test, Creative ability in technology, Problem solving, Association tests, Knowledge acquisition (Expert systems)
Abstract: Abstract Human creativity is usually assessed with a variety of established creativity tests. One of this is the Remote Associates Test (RAT), which aims to measure the ability of reaching remote associates with linguistic stimuli. A well known variant of the RAT exists – the compound RAT, for which normative data and solvers have been proposed in the literature. However, a different type of RAT was proposed in 1971 by Worthen and Clark – a functional form which had the potential of measuring other types of associations. However, the few test items proposed by Worthen and Clark where lost during archive transport, and cannot be accessed. In this paper, we set to reconstruct an ample set of functional items in the spirit of Worthen and Clark's idea, using information science techniques. Cognitive word associates are used as data. The process of a former computational solver of the RAT is repurposed to create rather than solve items. The approach of constructing queries is evaluated by getting human participants to solve both functional and compound items. In the process, a previous computational approach to solving the compound RAT is also validated in the functional RAT context. [ABSTRACT FROM AUTHOR]
Copyright of Knowledge-Based Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Abstract Human creativity is usually assessed with a variety of established creativity tests. One of this is the Remote Associates Test (RAT), which aims to measure the ability of reaching remote associates with linguistic stimuli. A well known variant of the RAT exists – the compound RAT, for which normative data and solvers have been proposed in the literature. However, a different type of RAT was proposed in 1971 by Worthen and Clark – a functional form which had the potential of measuring other types of associations. However, the few test items proposed by Worthen and Clark where lost during archive transport, and cannot be accessed. In this paper, we set to reconstruct an ample set of functional items in the spirit of Worthen and Clark's idea, using information science techniques. Cognitive word associates are used as data. The process of a former computational solver of the RAT is repurposed to create rather than solve items. The approach of constructing queries is evaluated by getting human participants to solve both functional and compound items. In the process, a previous computational approach to solving the compound RAT is also validated in the functional RAT context. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Knowledge-Based Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.knosys.2018.12.023
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      – Code: eng
        Text: English
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      – SubjectFull: Remote associates test
        Type: general
      – SubjectFull: Creative ability in technology
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      – SubjectFull: Problem solving
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      – SubjectFull: Association tests
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      – SubjectFull: Knowledge acquisition (Expert systems)
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              Text: Mar2019
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