How emotions inform judgment and regulate thought

Clore, Gerald L.; Huntsinger, Jeffrey R.

doi:10.1016/j.tics.2007.08.005

Cited by 677 publications

(557 citation statements)

References 51 publications

Supporting

Mentioning

483

Contrasting

Unclassified

Order By: Relevance

“…Our emotions provide us with information on how we are feeling at a given moment. These emotions then help guide and direct us to make sense of the world, to make judgements about others behaviours, intentions and emotions (Boden and Berenbaum, 2010;Clore and Huntsinger, 2007). In alexithymia, this ability is diminished and this may make such individuals prone to faulty judgements and beliefs about others (including paranoid beliefs).…”

Section: Alexithymia and Paranoiamentioning

confidence: 99%

Sleep quality and paranoia: The role of alexithymia, negative emotions and perceptual anomalies

Rehman

Gumley

Biello

2018

Psychiatry Research

View full text Add to dashboard Cite

A B S T R A C TRecent evidence suggests that sleep problems are associated with psychotic like experiences including paranoia. However, the mechanisms underpinning this association are not well understood and thus studies modelling hypothesised mediating factors are required. Alexithymia, the inability to recognise and describe emotions within the self may be an important candidate. In two separate studies we sought to investigate factors mediating the relationship between sleep quality and paranoia using a cross-sectional design. Healthy volunteers without a mental health diagnosis were recruited (study 1, N = 401, study 2, N = 402). Participants completed a series of measures assessing paranoia, negative emotions, alexithymia and perceptual anomalies in an online survey. In study 1, regression and mediation analyses showed that the relationship between sleep quality and paranoia was partially mediated by alexithymia, perceptual anomalies and negative affect. In contrast, study 2 found that the relationship between sleep quality and paranoia was fully mediated by negative affect, alexithymia and perceptual anomalies. The link between sleep quality and paranoia is unclear and reasons for discrepant results are discussed. Novel findings in this study include the link between alexithymia and paranoia.

show abstract

Section: Alexithymia and Paranoiamentioning

confidence: 99%

Sleep quality and paranoia: The role of alexithymia, negative emotions and perceptual anomalies

Rehman

Gumley

Biello

2018

Psychiatry Research

View full text Add to dashboard Cite

show abstract

“…Human mental processing is susceptible to many incidental factors, especially the affective state of the individual (Clore and Huntsinger 2007;Payne et al 2005). The easiest way to see the effects of emotions on cognition is to inspect situations when one's knowledge is uncertain, and thus ambiguity is involved in giving the answers (Ellsberg 1961;Heath and Tversky 1991;Payne et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Words’ Origin of an Affective State, but not Valence, Shape the Reaction Latencies in a Word-Sign Choosing Ambiguous Task

Imbir

2017

Curr Psychol

View full text Add to dashboard Cite

This paper presents data concerning the impact of word connotations differing in valence and origin on ambiguous decisions. The origin factor describes engagement of automatic vs. controlled processing mechanisms in formation of an emotional reaction to the stimuli (words, in this case). Other potentially important factors such as arousal, concreteness, frequency of appearance in language and length were matched across conditions. The task was introduced as intuition related and participants were supposed to guess which one of two hexagrams, introduced as pictorial symbols from an East Asian language, best suited the meaning of certain words. The expectation was that the origin of a word's affective connotations would influence decision making speed, and reaction latencies would be longer for reflectively originated words compared to automatically originated ones. The rationale for such a hypothesis is that reflective origins of emotional reactions are part of rational, multi-criteria processing, representing more complex mechanisms than automatic origins of emotional reactions based on experiential, automatic appraisals, representing less complex processing. For reflectively originated words, reaction latencies for word-sign matching tasks were longer than for automatically originated ones. No valence effects were found. Also no effects of the manipulations were found for time spent look at the words or location (top or bottom) of the chosen response in an ambiguous word-symbol matching task. This suggests that, indeed, origin influences only the type of processing that subsequently occurs, namely whether choices reflected systematic or heuristic processing.

show abstract

“…It has been emphasized that the fundamental characteristic that distinguishes CBR from other problem solving techniques in artificial intelligence is being memory based [59]. In support to [59], studies from neuroscience [32], neurobiology [41], neuropsychology [53], psycholinguistics [54], and cognitive science [55] point out keeping past events in memory and using past experiences in coordination with the current situation in forming perceptual judgments as well as in human reasoning. Similar to the steps taken in everyday problem solving behaviour of humans [42], principal tasks in CBR are to identify the current problem situation and find a past case similar to the new one (Retrieve), use that case to suggest a solution to the current problem (Reuse), evaluate the proposed solution (Revise), and update the system by learning from this experience (Retain).…”

Section: Granulation In the Proposed Cwws Frameworkmentioning

confidence: 99%

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation

Bilgin

Hagras

Helvert

et al. 2016

IEEE Trans. Fuzzy Syst.

View full text Add to dashboard Cite

Abstract-This paper addresses the need to enhance transparency in Ambient Intelligent Environments by developing more natural ways of interaction, which allow the users to communicate easily with the hidden networked devices rather than embedding obtrusive tablets and computing equipment throughout their surroundings. Ambient Intelligence vision aims to realize digital environments that adapt to users in a responsive, transparent and context aware manner in order to enhance users' comfort. It is therefore appropriate for employing the paradigm of 'Computing With Words' (CWWs), which aims to mimic the ability of humans to communicate transparently and manipulate perceptions via words. One of the daily activities that would increase the comfort levels of the users (especially people with disabilities) is cooking and performing tasks in the kitchen. Existing approaches on food preparation, cooking, and recipe recommendation stress on healthy eating and balanced meal choices while providing limited personalization features through the use of intrusive user interfaces. Herein, we present an application, which transparently interacts with users based on a novel CWWs approach in order to predict the recipe's difficulty level and to recommend an appropriate recipe depending on the user's mood, appetite and spare time. The proposed CWWs framework is based on Linear General Type-2 (LGT2) Fuzzy Sets, which linearly quantify the linguistic modifiers in the third dimension in order to better represent the user perceptions while avoiding the drawbacks of type-1 and interval type-2 fuzzy sets. The LGT2 based CWWs framework can learn from user experiences and adapt to them in order to establish more natural human-machine interaction. improvement when general type-2 fuzzy sets are used than when interval type-2 fuzzy sets are used instead. The quantitative and qualitative analysis both show the success of the system in providing a natural interaction with the users for recommending food recipes where the quantitative analysis shows the high statistical correlation between the system output and the users' feedback; and the qualitative analysis presents social science evaluation confirming the strong user acceptance of the system. Index Terms-ambient intelligence, computing with words, general type-2 fuzzy sets I. INTRODUCTIONhe recent years have witnessed a rapid increase in the miniaturization of computers which enabled to embed computing throughout our spaces in familiar objects such as home appliances (e.g. washing machines, refrigerators, etc.), portable devices (e.g. mobile phones, tablets, etc.), cars, etc. In addition, the advances in communications allowed such devices to be networked and connected to the Internet. Among the highlights of the connected and miniaturized devices bring to real life is the opportunity of customization and therefore personalization. Lately, it is getting more important to deliver personalized content in areas such as food planning which is becoming an important personal issue that affects the ...

show abstract

How emotions inform judgment and regulate thought

Cited by 677 publications

References 51 publications

Sleep quality and paranoia: The role of alexithymia, negative emotions and perceptual anomalies

Sleep quality and paranoia: The role of alexithymia, negative emotions and perceptual anomalies

Words’ Origin of an Affective State, but not Valence, Shape the Reaction Latencies in a Word-Sign Choosing Ambiguous Task

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation

Contact Info

Product

Resources

About