Feedback valence during business idea development: predictor of performance, motivator of change, or both?

2017 ◽  
Vol 29 (5) ◽  
pp. 375-395
Author(s):  
Patricia S. Borchert ◽  
Linda Rochford
Keyword(s):  
2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Anja Leue ◽  
Carmen Cano Rodilla ◽  
André Beauducel

Individuals typically evaluate whether their performance and the obtained feedback match. Previous research has shown that feedback negativity (FN) depends on outcome probability and feedback valence. It is, however, less clear to what extent previous effects of outcome probability on FN depend on self-evaluations of response correctness. Therefore, we investigated the effects of outcome probability on FN amplitude in a simple go/no-go task that allowed for the self-evaluation of response correctness. We also investigated effects of performance incompatibility and feedback valence. In a sample ofN=22participants, outcome probability was manipulated by means of precues, feedback valence by means of monetary feedback, and performance incompatibility by means of feedback that induced a match versus mismatch with individuals’ performance. We found that the 100% outcome probability condition induced a more negative FN following no-loss than the 50% outcome probability condition. The FN following loss was more negative in the 50% compared to the 100% outcome probability condition. Performance-incompatible loss resulted in a more negative FN than performance-compatible loss. Our results indicate that the self-evaluation of the correctness of responses should be taken into account when the effects of outcome probability and expectation mismatch on FN are investigated.


2021 ◽  
Vol 14 ◽  
Author(s):  
Bruno Direito ◽  
Manuel Ramos ◽  
João Pereira ◽  
Alexandre Sayal ◽  
Teresa Sousa ◽  
...  

Introduction: The potential therapeutic efficacy of real-time fMRI Neurofeedback has received increasing attention in a variety of psychological and neurological disorders and as a tool to probe cognition. Despite its growing popularity, the success rate varies significantly, and the underlying neural mechanisms are still a matter of debate. The question whether an individually tailored framework positively influences neurofeedback success remains largely unexplored.Methods: To address this question, participants were trained to modulate the activity of a target brain region, the visual motion area hMT+/V5, based on the performance of three imagery tasks with increasing complexity: imagery of a static dot, imagery of a moving dot with two and with four opposite directions. Participants received auditory feedback in the form of vocalizations with either negative, neutral or positive valence. The modulation thresholds were defined for each participant according to the maximum BOLD signal change of their target region during the localizer run.Results: We found that 4 out of 10 participants were able to modulate brain activity in this region-of-interest during neurofeedback training. This rate of success (40%) is consistent with the neurofeedback literature. Whole-brain analysis revealed the recruitment of specific cortical regions involved in cognitive control, reward monitoring, and feedback processing during neurofeedback training. Individually tailored feedback thresholds did not correlate with the success level. We found region-dependent neuromodulation profiles associated with task complexity and feedback valence.Discussion: Findings support the strategic role of task complexity and feedback valence on the modulation of the network nodes involved in monitoring and feedback control, key variables in neurofeedback frameworks optimization. Considering the elaborate design, the small sample size here tested (N = 10) impairs external validity in comparison to our previous studies. Future work will address this limitation. Ultimately, our results contribute to the discussion of individually tailored solutions, and justify further investigation concerning volitional control over brain activity.


2017 ◽  
Vol 45 (3) ◽  
pp. 1034-1056 ◽  
Author(s):  
Yan Gong ◽  
Yu Zhang ◽  
Jun Xia

It has been recognized that previous experiences can provide different types of feedback. However, it has not been systematically explored why firms are more likely to learn effectively from certain types of experience than others. From a feedback-based learning perspective, we argue that it is useful not only to focus on feedback valence (success or failure experiences) but also to examine feedback saliency (the magnitude of the experience’s influence). Based on a sample of acquisitions by U.S. firms, our results indicate that a firm’s success experience drives up the premium that it pays for a subsequent acquisition, whereas a failure experience reduces this subsequent premium. Moreover, we find that the magnitude of the effects of the four types of experiences—small failure, big failure, small success, and big success—does not follow a symmetrical pattern of inverse effects.


2001 ◽  
Author(s):  
Jennifer M. George ◽  
Jing Zhou
Keyword(s):  

2017 ◽  
Vol 39 (1) ◽  
pp. 67-80 ◽  
Author(s):  
Gert-Jan De Muynck ◽  
Maarten Vansteenkiste ◽  
Jochen Delrue ◽  
Nathalie Aelterman ◽  
Leen Haerens ◽  
...  

2020 ◽  
Vol 15 (3) ◽  
pp. 329-336
Author(s):  
Ya Zheng ◽  
Mengyao Wang ◽  
Shiyu Zhou ◽  
Jing Xu

Abstract Perceived control is a fundamental psychological function that can either boost positive affect or buffer negative affect. The current study addressed the electrophysiological correlates underlying perceived control, as exercised by choice, in the processing of feedback valence. Thirty-six participants performed an EEG choice task during which they received positive or negative feedback following choices made either by themselves or by a computer. Perceived control resulted in an enhanced reward positivity for positive feedback but increased theta power for negative feedback. Further, perceived control led to greater feedback P3 amplitude and delta power, regardless of feedback valence. These results suggest functional heterogeneity of perceived control in feedback processing as diverse as magnifying the reward signal, enhancing the need for control and increasing the motivational salience of outcome irrespective of valence.


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