Negative emotions and information processing: The effect of cognitive appraisal dimensions of 'uncertainty', 'anticipated effort' and 'control'

2014 ◽  
Author(s):  
Shruti Koley ◽  
Suresh Ramanathan
Keyword(s):  
Information Processing ◽  
Cognitive Appraisal ◽  
Negative Emotions ◽  
And Control

Towards a Validation of Multiple Features in the Assessment of Emotions

1998 ◽  
Vol 14 (3) ◽  
pp. 202-210 ◽  
Author(s):  
Suzanne Skiffington ◽  
Ephrem Fernandez ◽  
Ken McFarland
Keyword(s):  
Factor Analysis ◽  
Pilot Study ◽  
Cognitive Appraisal ◽  
Negative Emotions ◽  
The Self ◽  
Factor Analyses ◽  
Data Set ◽  
Multiple Features ◽  
Action Tendency ◽  
Intensity Range

This study extends previous attempts to assess emotion with single adjective descriptors, by examining semantic as well as cognitive, motivational, and intensity features of emotions. The focus was on seven negative emotions common to several emotion typologies: anger, fear, sadness, shame, pity, jealousy, and contempt. For each of these emotions, seven items were generated corresponding to cognitive appraisal about the self, cognitive appraisal about the environment, action tendency, action fantasy, synonym, antonym, and intensity range of the emotion, respectively. A pilot study established that 48 of the 49 items were linked predominantly to the specific emotions as predicted. The main data set comprising 700 subjects' ratings of relatedness between items and emotions was subjected to a series of factor analyses, which revealed that 44 of the 49 items loaded on the emotion constructs as predicted. A final factor analysis of these items uncovered seven factors accounting for 39% of the variance. These emergent factors corresponded to the hypothesized emotion constructs, with the exception of anger and fear, which were somewhat confounded. These findings lay the groundwork for the construction of an instrument to assess emotions multicomponentially.

scholarly journals Retailers, You Can Get Omni-Shopper's Satisfaction!

2020 ◽  
Vol 3 (4) ◽  
Author(s):  
Nuria Viejo-Fernández ◽  
Sneha Saha
Keyword(s):  
Information Processing ◽  
Mobile Phone ◽  
Logit Model ◽  
Negative Emotions ◽  
Perceived Value ◽  
Structural Equations ◽  
Shopping Behavior ◽  
Purchasing Behavior ◽  
One Stop ◽  
Search For Information

This paper evaluates the influence that information processing routes have on omni-shopping behavior, as well as analyzing the consequences of this behavior for retailers through a cognitive-affective approach. A sample of 705 mobile phone users was used for this purpose. The results obtained using the binomial logit model in a first phase and later with an application of structural equations, reflect that omni-shoppers have a more planned purchasing behavior than those who develop a one-stop shopping behavior. They search for information in a rational and deep way, spending time and effort. As for the consequences that the omni-channel behavior has for retailers, it has been found that those omni-shoppers who experience negative emotions with the retailer, have a low perceived value of the company and their satisfaction will also be negative.

scholarly journals Paediatric Type1 Diabetes Management and Mothers’ Emotional Intelligence Interactions

2021 ◽  
Author(s):  
Jolanta Žilinskienė ◽  
Linas Šumskas ◽  
Dalia Antinienė
Keyword(s):  
Emotional Intelligence ◽  
Disease Management ◽  
Diabetes Management ◽  
Type I Diabetes ◽  
Negative Emotions ◽  
Haemoglobin A1c ◽  
Type I ◽  
Type1 Diabetes ◽  
Demographic Questionnaire ◽  
And Control

The functioning of the parents’ emotional sphere is very important to a child’s mental and physical health. This study focused on investigating the association between mothers’ emotional intelligence (EI) and paediatric type I diabetes (T1DM) disease management in their children. We hypothesized that mothers’ EI is associated with T1DM outcomes. Mothers of children with T1DM aged 6-12 years were surveyed. One hundred and thirty-four mothers, the main caregivers of their diabetic children, provided measures of EI and completed a demographic questionnaire. The primary indicator of diabetes management was haemoglobin A1c (HbA1c; the main form of glycosylated haemoglobin). EI scales and subscales were associated with glycaemic management indices. Logistic regression analysis was applied for the assessment of the association between parents’ EI and their paediatric with T1DM disease management. The analysis demonstrated a statistically significant correlation between T1DM management and mothers’ ability to understand and control own emotions, to transform their own negative emotions into positive and to control own negative emotions. Mothers’ EI scales and subscales of understanding and regulating their own emotions, subscales of transforming their own negative emotions into positive ones and controlling their own negative emotions were statistically reliable predictors of glycaemic control in children with T1DM.

Ankle Bones, Rogues, and Sexual Freedom for Women

2011 ◽  
pp. 461-468
Author(s):  
Nigel K.L. Pope ◽  
Kevin E. Voges
Keyword(s):  
Information Processing ◽  
Data Analysis ◽  
Problem Solving ◽  
Computational Intelligence ◽  
History Of Mathematics ◽  
Volume Form ◽  
Paper Briefly ◽  
Sexual Freedom ◽  
History Of ◽  
And Control

In this chapter we review the history of mathematics-based approaches to problem solving. The authors suggest that while the ability of analysts to deal with the extremes of data now available is leading to a new leap in the handling of data analysis, information processing, and control systems, that ability remains grounded in the work of early pioneers of statistical thought. Beginning with pre-history, the paper briefly traces developments in analytical thought to the present day, identifying milestones in this development. The techniques developed in studies of computational intelligence, the applications of which are presented in this volume, form the basis for the next great development in analytical thought.

scholarly journals Advanced IT-Based Future Sustainable Computing (2017–2018)

2019 ◽  
Vol 11 (8) ◽  
pp. 2264
Author(s):  
Jong Hyuk Park
Keyword(s):  
Machine Learning ◽  
Information Processing ◽  
Cluster Computing ◽  
Smart Devices ◽  
Algorithmic Information ◽  
Prediction And Control ◽  
Computing Environments ◽  
Software And Hardware ◽  
Sustainability Problems ◽  
And Control

Future Sustainability Computing (FSC) is an emerging concept that holds various types of paradigms, rules, procedures, and policies to support breadth and length of the deployment of Information Technology (IT) for abundant life. However, advanced IT-based FCS is facing several sustainability problems in different information processing and computing environments. Solutions to these problems can call upon various computational and algorithmic frameworks that employ optimization, integration, generation, and utilization technique within cloud, mobile, and cluster computing, such as meta-heuristics, decision support systems, prediction and control, dynamical systems, machine learning, and so on. Therefore, this special issue deals with various software and hardware design, novel architectures and frameworks, specific mathematical models, and efficient modeling-simulation for advance IT-based FCS. We accepted eighteen articles in the six different IT dimensions: machine learning, blockchain, optimized resource provision, communication network, IT governance, and information security. All accepted articles contribute to the applications and research in the FCS, such as software and information processing, cloud storage organization, smart devices, efficient algorithmic information processing and distribution.

Effect of Mood and Food Cues on Information Processing in Women with Bulimia Nervosa and Controls

1997 ◽  
Vol 14 (2) ◽  
pp. 113-120 ◽  
Author(s):  
Frances A. Carter ◽  
Cynthia M. Bulik ◽  
Rachel H. Lawson ◽  
Patrick F. Sullivan ◽  
Jenny S. Wilson
Keyword(s):  
Information Processing ◽  
Bulimia Nervosa ◽  
Processing Speed ◽  
Cue Reactivity ◽  
Information Processing Speed ◽  
Food Cues ◽  
Speed Of Information Processing ◽  
Food Body ◽  
Body Concerns ◽  
And Control

Information-processing speed and cue reactivity were evaluated in women with bulimia nervosa and controls in response to neutral, mood, and food cues in isolation, and mood and food cues in combination. Significant differences were consistently observed between women with bulimia nervosa and control women on information-processing speed for food/body-related words, but not for words unrelated to food/body concerns. As expected, women with bulimia nervosa demonstrated slower processing of information related to food/body concerns. In addition, the presentation of mood and food cues affected speed of information processing. Especially for women with bulimia nervosa, information processing was slowest when either mood or food cues were presented in isolation. Significant cue reactivity was also observed, again especially for women with bulimia nervosa. In conclusion, both transient and more enduring subject characteristics affected information-processing speed. Moreover, the way transient factors were presented significantly affected speed of information processing. This suggests a more complex relationship between cue presentation and information processing than was anticipated.

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