scholarly journals State anxiety and information processing: a 7.5% carbon dioxide challenge study

2017 ◽  
Author(s):  
Kayleigh Easey ◽  
Jon Catling ◽  
Chris Kent ◽  
Coral Crouch ◽  
Sam Jackson ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Information Processing ◽  
State Anxiety ◽  
Response Times ◽  
Matching Task ◽  
Challenge Study ◽  
Visual Matching ◽  
Stimuli Response ◽  
Anxiety Induction ◽  
The Impact

We used the 7.5% carbon dioxide model of anxiety induction to investigate the effects of state anxiety on simple information processing. In both high and low anxious states participants completed an auditory/visual matching task and a visual binary categorisation task. Stimuli were either degraded or clear to investigate whether the effects of anxiety are greater when signal clarity is compromised. Accuracy in the matching task was lower during CO2 inhalation and for degraded stimuli. Response times and indecision (measured using mouse trajectories) were greater during CO2 inhalation and for degraded stimuli in the categorization task. For most measures, there was no evidence of gas × clarity interactions. These data indicate that state anxiety negatively impacts simple information processing, and does not support claims that anxiety may benefit performance in low cognitively demanding tasks. These findings have important implications for understanding the impact of state anxiety in real world situations. 7.5%

scholarly journals State anxiety and information processing: A 7.5% carbon dioxide challenge study

2018 ◽  
Vol 25 (2) ◽  
pp. 732-738 ◽  
Author(s):  
Kayleigh E. Easey ◽  
Jon C. Catling ◽  
Christopher Kent ◽  
Coral Crouch ◽  
Sam Jackson ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Information Processing ◽  
State Anxiety ◽  
Challenge Study ◽  
Carbon Dioxide Challenge

Anxiety and the interpretation of ambiguous facial expressions: The influence of contextual cues

2007 ◽  
Vol 60 (8) ◽  
pp. 1101-1115 ◽  
Author(s):  
Isabelle Blanchette ◽  
Anne Richards ◽  
Adele Cross
Keyword(s):  
Facial Expressions ◽  
Trait Anxiety ◽  
State Anxiety ◽  
Contextual Information ◽  
High State ◽  
Contextual Cues ◽  
Facial Expressions Of Emotion ◽  
Anxiety Induction ◽  
The Impact

In 3 experiments, we investigate how anxiety influences interpretation of ambiguous facial expressions of emotion. Specifically, we examine whether anxiety modulates the effect of contextual cues on interpretation. Participants saw ambiguous facial expressions. Simultaneously, positive or negative contextual information appeared on the screen. Participants judged whether each expression was positive or negative. We examined the impact of verbal and visual contextual cues on participants’ judgements. We used 3 different anxiety induction procedures and measured levels of trait anxiety (Experiment 2). Results showed that high state anxiety resulted in greater use of contextual information in the interpretation of the facial expressions. Trait anxiety was associated with mood-congruent effects on interpretation, but not greater use of contextual information.

scholarly journals Effects of state anxiety on gait: a 7.5% carbon dioxide challenge study

2020 ◽  
Author(s):  
Angela S. Attwood ◽  
Casimir J. H. Ludwig ◽  
Ian S. Penton-Voak ◽  
Jade Poh ◽  
Alex S. F. Kwong ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
State Anxiety ◽  
Challenge Study ◽  
Carbon Dioxide Challenge

Climate-forced changes of bio-productivity of Belorussian terrestrial ecosystems

2019 ◽  
pp. 77-88
Author(s):  
S. A. Lysenko
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Vegetation Index ◽  
Precipitation Amount ◽  
Terrestrial Ecosystems ◽  
Vegetation Period ◽  
Climatic Trend ◽  
Vegetation Growth ◽  
Current Century ◽  
The Impact

The spatial and temporal particularities of Normalized Differential Vegetation Index (NDVI) changes over territory of Belarus in the current century and their relationship with climate change were investigated. The rise of NDVI is observed at approximately 84% of the Belarus area. The statistically significant growth of NDVI has exhibited at nearly 35% of the studied area (t-test at 95% confidence interval), which are mainly forests and undeveloped areas. Croplands vegetation index is largely descending. The main factor of croplands bio-productivity interannual variability is precipitation amount in vegetation period. This factor determines more than 60% of the croplands NDVI dispersion. The long-term changes of NDVI could be explained by combination of two factors: photosynthesis intensifying action of carbon dioxide and vegetation growth suppressing action of air warming with almost unchanged precipitation amount. If the observed climatic trend continues the croplands bio-productivity in many Belarus regions could be decreased at more than 20% in comparison with 2000 year. The impact of climate change on the bio-productivity of undeveloped lands is only slightly noticed on the background of its growth in conditions of rising level of carbon dioxide in the atmosphere.

ON THE CLASSIFICATION OF DIGITAL TECHNOLOGIES IN CIVIL PROCESS

2019 ◽  
pp. 27-35
Author(s):  
Alexandr Neznamov
Keyword(s):  
Information Processing ◽  
Scientific Community ◽  
Digital Technologies ◽  
Significant Feature ◽  
Legal Proceedings ◽  
Civil Process ◽  
Civil Proceedings ◽  
Processing Information ◽  
The Impact

Digital technologies are no longer the future but are the present of civil proceedings. That is why any research in this direction seems to be relevant. At the same time, some of the fundamental problems remain unattended by the scientific community. One of these problems is the problem of classification of digital technologies in civil proceedings. On the basis of instrumental and genetic approaches to the understanding of digital technologies, it is concluded that their most significant feature is the ability to mediate the interaction of participants in legal proceedings with information; their differentiating feature is the function performed by a particular technology in the interaction with information. On this basis, it is proposed to distinguish the following groups of digital technologies in civil proceedings: a) technologies of recording, storing and displaying (reproducing) information, b) technologies of transferring information, c) technologies of processing information. A brief description is given to each of the groups. Presented classification could serve as a basis for a more systematic discussion of the impact of digital technologies on the essence of civil proceedings. Particularly, it is pointed out that issues of recording, storing, reproducing and transferring information are traditionally more «technological» for civil process, while issues of information processing are more conceptual.

scholarly journals Moderators of the Liking Bias in Judgments of Moral Character

2021 ◽  
pp. 014616722110132
Author(s):  
Konrad Bocian ◽  
Wieslaw Baryla ◽  
Bogdan Wojciszke
Keyword(s):  
Information Processing ◽  
Moral Character ◽  
Moral Judgments ◽  
The Impact

Previous research found evidence for a liking bias in moral character judgments because judgments of liked people are higher than those of disliked or neutral ones. This article sought conditions moderating this effect. In Study 1 ( N = 792), the impact of the liking bias on moral character judgments was strongly attenuated when participants were educated that attitudes bias moral judgments. In Study 2 ( N = 376), the influence of liking on moral character attributions was eliminated when participants were accountable for the justification of their moral judgments. Overall, these results suggest that although liking biases moral character attributions, this bias might be reduced or eliminated when deeper information processing is required to generate judgments of others’ moral character.

News and Idiosyncratic Volatility: The Public Information Processing Hypothesis*

2020 ◽  
Author(s):  
Robert F Engle ◽  
Martin Klint Hansen ◽  
Ahmet K Karagozoglu ◽  
Asger Lunde
Keyword(s):  
Information Processing ◽  
Public Information ◽  
Selection Procedure ◽  
Autoregressive Process ◽  
Return Volatility ◽  
Market Outcomes ◽  
The Public ◽  
Additional Information ◽  
Financial News ◽  
The Impact

Abstract Motivated by the recent availability of extensive electronic news databases and advent of new empirical methods, there has been renewed interest in investigating the impact of financial news on market outcomes for individual stocks. We develop the information processing hypothesis of return volatility to investigate the relation between firm-specific news and volatility. We propose a novel dynamic econometric specification and test it using time series regressions employing a machine learning model selection procedure. Our empirical results are based on a comprehensive dataset comprised of more than 3 million news items for a sample of 28 large U.S. companies. Our proposed econometric specification for firm-specific return volatility is a simple mixture model with two components: public information and private processing of public information. The public information processing component is defined by the contemporaneous relation with public information and volatility, while the private processing of public information component is specified as a general autoregressive process corresponding to the sequential price discovery mechanism of investors as additional information, previously not publicly available, is generated and incorporated into prices. Our results show that changes in return volatility are related to public information arrival and that including indicators of public information arrival explains on average 26% (9–65%) of changes in firm-specific return volatility.

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