Does openness/intellect predict sensitivity to the reward value of information?

Why are open people open? A recent theory suggests that openness/intellect reflects sensitivity to the reward value of information, but so far, this has undergone few direct tests. To assess preferences for information, we constructed a novel task, adapted from information–seeking paradigms within decision science, in which participants could choose to see information related to a guessing game they had just completed. Across two studies (one exploratory, n = 151; one confirmatory, n = 301), openness/intellect did not predict information seeking. Our results thus do not support a straightforward version of the theory, whereby open individuals display a general–purpose sensitivity to any sort of new information. However, trait curiosity (arguably a facet of openness/intellect) predicted information seeking in both studies, and uncertainty intolerance (inversely related to openness/intellect) predicted information seeking in Study 2. Thus, it is possible that the domain–level null association masks two divergent information–seeking pathways: one approach motivated (curiosity) and one avoidance motivated (uncertainty intolerance). It remains to be seen whether these conflicting motivations can be isolated and if doing so reveals any association between information–seeking and the broader openness/intellect domain. © 2020 European Association of Personality Psychology

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Testing the Information-Seeking Theory of Openness/Intellect

10.31234/osf.io/zqcjw ◽

2020 ◽

Author(s):

Hayley Jach ◽

Luke Smillie

Keyword(s):

Information Seeking ◽

Value Of Information ◽

General Purpose ◽

Recent Theory ◽

Decision Science ◽

New Information ◽

Uncertainty Intolerance ◽

Reward Value ◽

Domain Level

Why are open people open? A recent theory suggests that openness/intellect reflects sensitivity to the reward value of information, but so far this has undergone few direct tests. To assess preferences for information, we constructed a novel task, adapted from information-seeking paradigms within decision science, in which participants could choose to see information related to a guessing game they had just completed. Across two studies (one exploratory, n = 151; one confirmatory, n = 301), openness/intellect did not predict information-seeking. Our results thus do not support a straightforward version of the theory, whereby open individuals display a general-purpose sensitivity to any sort of new information. However, trait curiosity (arguably a facet of openness/intellect) predicted information-seeking in both studies, and uncertainty intolerance (inversely related to openness/intellect) predicted information-seeking in Study 2. Thus, it is possible that the domain-level null association masks two divergent information-seeking pathways, one approach-motivated (curiosity), and one avoidance-motivated (uncertainty intolerance). It remains to be seen whether these conflicting motivations can be isolated, and if doing so reveals any association between information-seeking and the broader openness/intellect domain.

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Reward Value and Reward Timing are Not Independent

PsycEXTRA Dataset ◽

10.1037/e603992013-082 ◽

2006 ◽

Author(s):

Tiffany Galtress ◽

Kimberly Kirkpatrick

Keyword(s):

Reward Value

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ALGORITHM FOR DETERMINING THE DEGREE VALUES OF CONFIDENTIAL DOCUMENTS OF THE ORGANIZATION

VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MANAGEMENT COMPUTER SCIENCE AND INFORMATICS ◽

10.24143/2072-9502-2017-1-80-88 ◽

2017 ◽

pp. 80-88

Author(s):

Sergey Valerevich Belov ◽

Irina Mikhalovna Kosmacheva ◽

Irina Vyacheslavovna Sibikina

Keyword(s):

Information Security ◽

Russian Federation ◽

Value Of Information ◽

Weighting Factor ◽

State Regulation ◽

The State ◽

Information Security Management ◽

Pair Comparison ◽

The Russian Federation ◽

Properties Of Information

To solve the problem of information security management the method was proposed that allows determining the degree of importance of confidential documents of the organization. The urgency of the proposed algorithm was substantiated taking into account the requirements of the legislation of the Russian Federation in the sphere of information security. The stages prior to the formation of the list of confidential documents of the organization were described. A review of the main documents of the legal and regulatory framework was carried out including documents relating to the state regulation of relations in the sphere of information security. The classes of protected information for the accessing categories were considered. The criteria changes of the value of information in the process of time were represented. The algorithm of formation of the list of confidential documents of the organization based on the properties of information was offered. The algorithm is based on an expert method of pair comparison of alternatives. The result of the use of this method is a number of confidential documents, ranked in descending order of importance. For each document the weighting factor of importance can be calculated. The verification stage of the degree of expert consistency was included in the methodology to eliminate the use of erroneous expert data. The application of the methodology is illustrated by a calculated example.

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