The Effect of Reward Information on Perceptual Decision-Making

Mahesan, Devu; Chawla, Manisha

doi:10.1007/978-3-319-46681-1_19

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Further data and replications are needed to fully understand the role of IC3 in product evaluations in natural settings. However, the finding of a source contributing to IC3 in the dorsolateral prefrontal cortex suggests that this component was related to value-based decision making as important components of decision making such as WTP, moderation of risk, and top down attention have been shown to be mediated by this brain region (Plassmann et al, 2007; Hubert and Kenning, 2008; Bartra et al, 2013; Morris et al, 2014; Mahesan et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Tracking Economic Value of Products in Natural Settings: A Wireless EEG Study

et al. 2018

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Economic decision making refers to the process of individuals translating their preference into subjective value (SV). Little is known about the dynamics of the neural processes that underpin this form of value-based decision making and no studies have investigated these processes outside of controlled laboratory settings. The current study investigated the spatio-temporal dynamics that accompany economic valuation of products using mobile electroencephalography (EEG) and eye tracking techniques. Participants viewed and rated images of household products in a gallery setting while EEG and eye tracking data were collected wirelessly. A Becker-DeGroot-Marschak (BDM) auction task was subsequently used to quantify the individual’s willingness to pay (WTP) for each product. WTP was used to classify products into low, low medium, high medium and high economic value conditions. Eye movement related potentials (EMRP) were examined, and independent component analysis (ICA) was used to separate sources of activity from grand averaged EEG data. Four independent components (ICs) of EMRPs were modulated by WTP (i.e., SV) in the latency range of 150–250 ms. Of the four value-sensitive ICs, one IC displayed enhanced amplitude for all value conditions excluding low value, and another IC presented enhanced amplitude for low value products only. The remaining two value-sensitive ICs resolved inter-mediate levels of SV. Our study quantified, for the first time, the neural processes involved in economic value based decisions in a natural setting. Results suggest that multiple spatio-temporal brain activation patterns mediate the attention and aversion of products which could reflect an early valuation system. The EMRP parietal P200 component could reflect an attention allocation mechanism that separates the lowest-value products (IC7) from products of all other value (IC4), suggesting that low-value items are categorized early on as being aversive. While none of the ICs showed linear amplitude changes that parallel SV’s of products, results suggest that a combination of multiple components may sub-serve a fine-grained resolution of the SV of products.

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Section: Discussionmentioning

confidence: 99%

Tracking Economic Value of Products in Natural Settings: A Wireless EEG Study

et al. 2018

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“…A relatively new line of investigation is studying the integration of reward values with perceptual decisions. 9 , 23 , 57 – 60 …”

Section: Toward a Domain-generic Understanding Of Decision Makingmentioning

confidence: 99%

“…A relatively new line of investigation is studying the integration of reward values with perceptual decisions. 9,23,[57][58][59][60] Akin to the perceptual decisions, we can consider that the valuation process also has an accumulation of evidence. Recently, there have been successful attempts to use the drift diffusion model to investigate value-based decisions.…”

Section: Toward a Domain-generic Understanding Of Decision Makingmentioning

confidence: 99%

Context-Sensitive Computational Mechanisms of Decision Making

Chawla

Miyapuram

2018

J Exp Neurosci

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Real-world information is primarily sensory in nature, and understandably people attach value to the sensory information to prepare for appropriate behavioral responses. This review presents research from value-based, perceptual, and social decision-making domains, so far studied using isolated paradigms and their corresponding computational models. For example, in perceptual decision making, the sensory evidence accumulation rather than value computation becomes central to choice behavior. Furthermore, we identify cross-linkages between the perceptual and value-based domains to help us better understand generic processes pertaining to individual decision making. The purpose of this review is 2-fold. First, we identify the need for integrated study of different domains of decision making. Second, given that both our perception and valuation are influenced by the surrounding context, we suggest the integration of different types of information in decision making could be done by studying contextual influences in decision making. Future research needs to attempt toward a system-level understanding of various subprocesses involved in decision making.

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Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study

Chawla

Miyapuram

2023

Communications in Computer and Information Science

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The Effect of Reward Information on Perceptual Decision-Making

Cited by 3 publications

References 13 publications

Tracking Economic Value of Products in Natural Settings: A Wireless EEG Study

Tracking Economic Value of Products in Natural Settings: A Wireless EEG Study

Context-Sensitive Computational Mechanisms of Decision Making

Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study

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