positivity offset
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PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258640
Author(s):  
Regard M. Booy ◽  
Patrick L. Carolan

Some research suggests that positive and negative valence stimuli may be processed differently. For example, negative material may capture and hold attention more readily than equally arousing positive material. This is called the negativity bias, and it has been observed as both behavioural and electroencephalographic (EEG) effects. Consequently, it has been attributed to both automatic and elaborative processes. However, at the lowest levels of arousal, faster reaction times and stronger EEG responses to positive material have been observed. This is called the positivity offset, and the underlying cognitive mechanism is less understood. To study the role of selective attention in the positivity offset, participants completed a negative affective priming (NAP) task modified to dissociate priming for positive and negative words. The task required participants to indicate the valence of a target word, while simultaneously ignoring a distractor. In experiment 1, a behavioural facilitation effect (faster response time) was observed for positive words, in stark contrast to the original NAP task. These results were congruent with a previously reported general categorization advantage for positive material. In experiment 2, participants performed the task while EEG was recorded. In additional to replicating the behavioural results from experiment 1, positive words elicited a larger Late Positive Potential (LPP) component on ignored repetition relative to control trials. Surprisingly, negative words elicited a larger LPP than positive words on control trials. These results suggest that the positivity offset may reflect a greater sensitivity to priming effects due to a more flexible attentional set.


2021 ◽  
pp. 174569162095983
Author(s):  
Kennon M. Sheldon ◽  
Mike Corcoran ◽  
Melanie Sheldon

Chronic positive mood (CPM) has been shown to confer a wide variety of social, functional, and health benefits. Some researchers have argued that humans evolved to feel CPM, which explains why most people report better than neutral mood (the “positivity offset bias”) and why particularly happy people have particularly good outcomes. Here, we argue that the Duchenne smile evolved as an honest signal of high levels of CPM, alerting others to the psychological fitness of the smiler. Duchenne smiles are honest because they express felt positive emotion, making it difficult for unhappy people to produce them. Duchenne smiles enable happy people to signal and cooperate with one another, boosting their advantages. In our literature review, we found (a) that not all Duchenne smiles are “honest,” although producing them in the absence of positive emotion is difficult and often detectable, and (b) that the ability to produce and recognize Duchenne smiles may vary somewhat by a person’s cultural origin. In the final section of the article, we consider behavioral influences on CPM, reviewing research showing that engaging in eudaimonic activity reliably produces CPM, as posited by the eudaimonic-activity model. This research suggests that frequent Duchenne smiling may ultimately signal eudaimonic personality as well as CPM.


2017 ◽  
Vol 5 (2) ◽  
pp. 226-238 ◽  
Author(s):  
Gregory P. Strauss ◽  
Katherine H. Visser ◽  
Bern G. Lee ◽  
James M. Gold

Prior studies have concluded that schizophrenia patients are not anhedonic because they do not report reduced experience of positive emotion to pleasant stimuli. The current study challenged this view by applying quantitative methods validated in the evaluative space model of emotional experience to test the hypothesis that schizophrenia patients evidence a reduction in the normative “positivity offset” (i.e., the tendency to experience higher levels of positive than negative emotional output when stimulus input is absent or weak). Participants included 76 schizophrenia patients and 60 healthy controls who completed an emotional experience task that required reporting the level of positive emotion, negative emotion, and arousal to photographs. Results indicated that although schizophrenia patients evidenced intact capacity to experience positive emotion at high levels of stimulus input, they displayed a diminished positivity offset. Reductions in the positivity offset may underlie volitional disturbance, limiting approach behaviors toward novel stimuli in neutral environments.


2017 ◽  
Vol 36 (2) ◽  
pp. 37-48 ◽  
Author(s):  
Justin Robert Keene ◽  
Heather Shoenberger ◽  
Collin K. Berke ◽  
Paul D. Bolls

Recent research has revealed the complex origins of political identification and the possible effects of this identification on social and political behavior. This article reports the results of a structural equation analysis of national survey data that attempts to replicate the finding that an individual’s negativity bias predicts conservative ideology. The analysis employs the Motivational Activation Measure (MAM) as an index of an individual’s positivity offset and negativity bias. In addition, information-seeking behavior is assessed in relation to traditional and interactive media sources of political information. Results show that although MAM does not consistently predict political identification, it can be used to predict extremeness of political views. Specifically, high negativity bias was associated with extreme conservatism, whereas low negativity bias was associated with extreme liberalism. In addition, political identification was found to moderate the relationship between motivational traits and information-seeking behavior.


2016 ◽  
Vol 52 ◽  
pp. 166-170 ◽  
Author(s):  
Jackie K. Gollan ◽  
Denada Hoxha ◽  
Kallio Hunnicutt-Ferguson ◽  
Catherine J. Norris ◽  
Laina Rosebrock ◽  
...  

2013 ◽  
Vol 55 (5) ◽  
pp. 469-473 ◽  
Author(s):  
Rebecca L. Ashare ◽  
Catherine J. Norris ◽  
E. Paul Wileyto ◽  
John T. Cacioppo ◽  
Andrew A. Strasser

2011 ◽  
Vol 45 (1) ◽  
pp. 100-111 ◽  
Author(s):  
Catherine J. Norris ◽  
Jeff T. Larsen ◽  
L. Elizabeth Crawford ◽  
John T. Cacioppo

2009 ◽  
Vol 201 (2) ◽  
pp. 141-153 ◽  
Author(s):  
Baolin Liu ◽  
Zhixing Jin ◽  
Zhongning Wang ◽  
Yu Hu

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