scholarly journals Uncertainty promotes information-seeking actions, but what information?

Author(s):  
Ashlynn M. Keller ◽  
Holly A. Taylor ◽  
Tad T. Brunyé

Abstract Navigating an unfamiliar city almost certainly brings out uncertainty about getting from place to place. This uncertainty, in turn, triggers information gathering. While navigational uncertainty is common, little is known about what type of information people seek when they are uncertain. The primary choices for information types with environments include landmarks (distal or local), landmark configurations (relation between two or more landmarks), and a distinct geometry, at least for some environments. Uncertainty could lead individuals to more likely seek one of these information types. Extant research informs both predictions about and empirical work exploring this question. This review covers relevant cognitive literature and then suggests empirical approaches to better understand information-seeking actions triggered by uncertainty. Notably, we propose that examining continuous navigation data can provide important insights into information seeking. Benefits of continuous data will be elaborated through one paradigm, spatial reorientation, which intentionally induces uncertainty through disorientation and cue conflict. While this and other methods have been used previously, data have primarily reflected only the final choice. Continuous behavior during a task can better reveal the cognition-action loop contributing to spatial learning and decision making.

2017 ◽  
Author(s):  
Rei Akaishi ◽  
Eiji Hoshi

AbstractWe usually actively seek out the information we need. However, it is still debated whether information seeking in decision situation is a purposeful behavior or a random process. We investigated this issue using the decision task involving multiple goal-directed event sequences, in which a contextual cue specifies an associated target and touch to the target delivers the reward. We found that the gaze followed the sequence of contextual cue to the associated target, which was eventually chosen. This fixation sequence from contextual cue to the associated target could be observed even when there were multiple goals and when the focus was shifted from one goal to another. To causally investigate the effects of sequential simulation, we directly manipulated the processing of the contextual cues and found its influence on the final choice of target. Furthermore, past episodes of the sequences influenced both final choices of targets and initial gaze to contextual cues. We interpret the results as suggesting that the internal process of simulating goal-directed event sequence drives information-seeking behavior such as attention/gaze in decision situations.


2020 ◽  
Author(s):  
Ed Donnellan ◽  
Sumeyye Aslan ◽  
Greta M. Fastrich ◽  
Kou Murayama

Researchers studying curiosity and interest note a lack of consensus in whether and how these important motivations for learning are distinct. Empirical attempts to distinguish them are impeded by this lack of conceptual clarity. Following a recent proposal that curiosity and interest are naïve concepts, we sought to determine a naïve consensus view on their distinction using machine learning methods. In Study 1, we demonstrate that there is a naïve consensus in how they are distinguished, by training a Naïve Bayes classification algorithm to distinguish between free-text definitions of curiosity and interest (n = 396 definitions) and using cross-validation to test the classifier on two sets of data (dependent n = 196; independent n = 218). In Study 2, we demonstrate that the naïve consensus is shared by experts and can plausibly underscore future empirical work, as the classifier accurately distinguished definitions provided by experts who study curiosity and interest (n = 92). Our results suggest a shared consensus on the distinction between curiosity and interest, providing a basis for much-needed conceptual clarity facilitating future empirical work. This consensus distinguishes curiosity as more active information-seeking directed towards specific and previously unknown information. In contrast, interest is more pleasurable, in-depth, less momentary information-seeking towards information in domains where people already have knowledge.


2019 ◽  
Vol 11 (02) ◽  
pp. 188-207 ◽  
Author(s):  
YASAMIN MOTAMEDI ◽  
HANNAH LITTLE ◽  
ALAN NIELSEN ◽  
JUSTIN SULIK

abstractGrowing evidence from across the cognitive sciences indicates that iconicity plays an important role in a number of fundamental language processes, spanning learning, comprehension, and online use. One benefit of this recent upsurge in empirical work is the diversification of methods available for measuring iconicity. In this paper, we provide an overview of methods in the form of a ‘toolbox’. We lay out empirical methods for measuring iconicity at a behavioural level, in the perception, production, and comprehension of iconic forms. We also discuss large-scale studies that look at iconicity on a system-wide level, based on objective measures of similarity between signals and meanings. We give a detailed overview of how different measures of iconicity can better address specific hypotheses, providing greater clarity when choosing testing methods.


2020 ◽  
Vol 42 (3) ◽  
pp. 279-312
Author(s):  
Yoori Hwang ◽  
Se-Hoon Jeong

The risk information seeking and processing (RISP) model posits that information insufficiency could lead to information seeking, and the effect could be moderated by relevant channel beliefs and perceived information gathering capacity. The RISP model is tested in the context of Koreans’ risk information seeking and processing related to toxic chemicals in consumer products. The present study showed that the impact of information insufficiency was moderated by relevant channel beliefs. On the other hand, the impact of information insufficiency was not moderated by perceived information gathering capacity; instead, perceived information gathering capacity had an independent effect on information seeking.


2020 ◽  
pp. 107554702098358
Author(s):  
Janet Z. Yang ◽  
Zhuling Liu

This study employs the risk information seeking and processing (RISP) model to examine social cognitive variables that motivate active information seeking and systematic processing. The research context is the recent childhood vaccine scandals in China. As a novel contribution to the RISP literature, a significant interaction between relevant channel beliefs and perceived information gathering capacity is unveiled. This result suggests that both information quality and accessibility to information channels influence information seeking, which is an important finding with theoretical and practical implications for other science communication issues.


2014 ◽  
Vol 84 (3) ◽  
pp. 403-423 ◽  
Author(s):  
Nicholas Bauch ◽  
Christina Sheldon

Whereas instruction on how to conduct original research can build on beginning college students' tacit information literacies, the explicit articulation of existing processes for information gathering is rarely elicited by instructors prior to students' submission of a final research paper. In this essay, authors Nicholas Bauch and Christina Sheldon introduce surf maps and concept ladders as potential assignments to guide beginning college students in producing original scholarship in their Cultural Geography course. They find that these tools help novice researchers realize their information-seeking patterns and skills as well as potential gaps in their current practices. For students, a key outcome of harnessing their tacit information literacies is that it offers broader disciplinary relevance to their research projects, introducing them to the complexities of making claims and, most generally, the production of knowledge. For educators, identifying students' tacit information-seeking skills and shortcomings helps in the creation of assignments that further advance students' research skills.


2021 ◽  
pp. 096366252110096
Author(s):  
Hang Lu ◽  
Haoran Chu ◽  
Yanni Ma

As an unprecedented global disease outbreak, the COVID-19 pandemic is also accompanied by an infodemic. To better cope with the pandemic, laypeople need to process information in ways that help guide informed judgments and decisions. Such information processing likely involves the reliance on various evidence types. Extending the Risk Information Seeking and Processing model via a two-wave survey ( N = 1284), we examined the predictors and consequences of US-dwelling Chinese’s reliance on four evidence types (i.e. scientific, statistical, experiential, and expert) regarding COVID-19 information. Overall, Risk Information Seeking and Processing variables such as information insufficiency and perceived information gathering capacity predicted the use of all four evidence types. However, other Risk Information Seeking and Processing variables (e.g. informational subjective norms) did not emerge as important predictors. In addition, different evidence types had different associations with subsequent disease prevention behaviors and satisfaction with the US government’s action to address the pandemic. Finally, discrete emotions varied in their influences on the use of evidence types, behaviors, and satisfaction. The findings provide potentially valuable contributions to science and health communication theory and practice.


1989 ◽  
Vol 14 (3) ◽  
pp. 13-16 ◽  
Author(s):  
Deirdre C. Stam

The information-gathering activities of art historians have been studied from three different perspectives: in terms of the books they use; through their own accounts of their working processes; and by informal, systematic observation, written up as ‘user studies’, by art librarians. While observation implies objectivity, a distance between observer and observed, in practice art librarians are very much involved with the art historian in the work of art history and in the development of its methodologies.


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