Electronic evaluation for video commercials by impression index

Kong, Wanzeng; Zhao, Xinguo; Hu, Sanqing; Vecchiato, Giovanni; Babiloni, Fabio

doi:10.1007/s11571-013-9255-z

Cited by 47 publications

(64 citation statements)

References 18 publications

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“…However, with the development in the field of cognitive neuroscience, an increasing number of researchers have started using cognitive neuroscience tools to solve behavioral science questions (Layne et al 2007;Pakhomov and Sudin 2013). For example, Kong et al (2013) used cognitive neuroscience to study the influence of video commercials on consumers on the basis of impression index, and Farwell and Richardson (2013) used brain fingerprinting to detect concealed information stored in the brain by measuring brainwave responses. Therefore, it is possible to explore cognitive neuroscience tools to study consumer purchase intentions in online shopping.…”

Section: Introductionmentioning

confidence: 99%

Event-related potentials elicited by social commerce and electronic-commerce reviews

et al. 2015

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There is an increasing interest regarding the use of electroencephalography (EEG) in social commerce and electronic commerce (e-commerce) research. There are several reviews in the field of social commerce or e-commerce; these have great potential value and mining them is fundamental and significant. To our knowledge, EEG is rarely applied to study these. In this study, we examined the neural correlates of social commerce reviews (SCRs) and e-commerce reviews (ECRs) by using them as stimuli to evoke event-related potentials. All SCRs were from friends through a social media platform, whereas ECRs were from strangers through an e-commerce platform. The experimental design was similar to that of a priming paradigm, and included 40 pairs of stimuli consisting of product information (prime stimulus) and reviews (target stimulus). The results showed that the P300 component was successfully evoked by SCR and ECR stimuli. Moreover, the P300 components elicited by SCRs had higher amplitudes than those elicited by ECRs. These findings indicate that participants paid more attention to SCRs than to ECRs. In addition, the associations between neural responses and reviews in social commerce have the potential to assist companies in studying consumer behaviors, thus permitting them to enhance their social commerce strategies.

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Section: Introductionmentioning

confidence: 99%

Event-related potentials elicited by social commerce and electronic-commerce reviews

et al. 2015

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“…EEG-based emotion recognition might serve as a form of communication for the disabled (Kashihara, 2014). Alternatively it could be used to develop a human-like human-computer interface (Liu et al, 2014), to control neural stimulation (Widge et al, 2014) or for neuromarketing (Kong et al, 2013). Each of these potential applications poses unique requirements for research and require a fairly high rate of emotion identification to be successful.…”

Section: Discussionmentioning

confidence: 99%

Prediction of subjective ratings of emotional pictures by EEG features

et al. 2016

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Emotion dysregulation is an important aspect of many psychiatric disorders. Brain-computer interface (BCI) technology could be a powerful new approach to facilitating therapeutic self-regulation of emotions. One possible BCI method would be to provide stimulus-specific feedback based on subject-specific electroencephalographic (EEG) responses to emotion-eliciting stimuli. To assess the feasibility of this approach, we studied the relationships between emotional valence/arousal and three EEG features: amplitude of alpha activity over frontal cortex; amplitude of theta activity over frontal midline cortex; and the late positive potential over central and posterior mid-line areas. For each feature, we evaluated its ability to predict emotional valence/arousal on both an individual and a group basis. Twenty healthy participants (9 men, 11 women; ages 22–68) rated each of 192 pictures from the IAPS collection in terms of valence and arousal twice (96 pictures on each of 4 days over 2 weeks). EEG was collected simultaneously and used to develop models based on canonical correlation to predict subject-specific single-trial ratings. Separate models were evaluated for the three EEG features: frontal alpha activity; frontal midline theta; and the late positive potential. In each case, these features were used to simultaneously predict both the normed ratings and the subject-specific ratings. Models using each of the three EEG features with data from individual subjects were generally successful at predicting subjective ratings on training data, but generalization to test data was less successful. Sparse models performed better than models without regularization. The results suggest that the frontal midline theta is a better candidate than frontal alpha activity or the late positive potential for use in a BCI-based paradigm designed to modify emotional reactions.

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“…(Ix t + b) represent the cost per thousand impressions. I represents the "impression index", and combines both the memorization and attention index during consumers observing commercials by tracking the electroencephalo-graph activity (EEG) [36]. It is always used to calculate the cost per impression (CPI), which is used to assess the cost effectiveness and profitability of advertising [37].…”

Section: The Profit Function Of the Advertising Contractormentioning

confidence: 99%

A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective

Shan

Liu

et al. 2017

Sustainability

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Abstract:Maintaining a balance between revenue and expenditure is the key to the sustainable development of a bicycle sharing system (BSS), and is a challenge for almost all systems worldwide. This article proposes a dynamic programming approach to obtain the optimal strategy to maximize the revenue of overall BSS. The Variable Granularity-Depth First Search (VG-DFS) algorithm is designed to speed up the solution. A numerical experiment is presented to verify the applicability of the model through a comparison with real data from the BSS in Hangzhou. Results indicated that the BSS could achieve break-even, or even obtain a substantial income by utilizing our model to make operational decisions, especially when the region it is located in has a relatively high GDP. Moreover, the best investment strategy proved is to involve stations in the initial construction period of the BSS as much as possible.

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Electronic evaluation for video commercials by impression index

Cited by 47 publications

References 18 publications

Event-related potentials elicited by social commerce and electronic-commerce reviews

Event-related potentials elicited by social commerce and electronic-commerce reviews

Prediction of subjective ratings of emotional pictures by EEG features

A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective

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