This essay exposes several problems with reductionist approaches to art, placing some specific focus on ‘The Science of Art’ by Vilayanur S. Ramachandran and William Hirstein . Their article seems to be representative of this genre in general, though particularly egregious in certain dimensions. My approach will differ greatly from that of a neuroscientist, philosopher, or psychologist, since I primarily take a critical feminist, social-literary perspective. I will argue that reductionist approaches to art are an intoxicating composite of arrogance, insight, (...) confusion and precision, an amalgam that challenges the commentator to distinguish what is worth praising, what is worth attacking, and what is best left alone. In particular, I will demonstrate that Ramachandran and Hirstein confuse arousal with beauty, with the disastrous result of excluding most of what is usually taken to distinguish ‘high’ art from its ‘lower’ forms, such as advertising, industrial design, and pornography. (shrink)

Purpose driven companies have developed their corporate culture with a commitment to stakeholders, Sustainable Development Goals, and social responsibility, prioritizing the management of organizational intangibles over capital. The overall objective of this research is to gain knowledge regarding the attention and emotional intensity registered by young Spanish university students when visualizing corporate purpose versus corporate visual identity, as well as the image of the Chairman of the main Spanish companies quoted on the IBEX 35. The techniques of eye tracking and (...) galvanic skin response have been used with 31 Spanish university students. The results suggest that brands with the highest brand equity in the Interbrand ranking are also the ones that receive the highest levels of attention and emotional arousal, and that a well-formulated corporate purpose is not enough to satisfy the public if company credibility is low due to previous perceptions of an organization. (shrink)

In this paper we investigated how justifications for price increases are associated with risky decision making and emotional responses. Across two studies with paired lottery choices and sequential decisions, we found that participants presented with a justification for price increases based on increasing demand decided to invest in a comparatively riskier asset more often than participants presented with a justification for price increases based on increasing tax or those presented with no justification at all. We also found that participants (...) presented with justifications for price increases based on increasing demand also reported more arousal displayed higher galvanic skin response than people in the other two justification conditions. Together, these studies provide evidence that the sole increasing demand underlying a price increase of a risky asset can influence the decision to buy it and suggests that emotional activation is involved in such a decision process. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Deeper Than Reason: Emotion and Its Role in Literature, Music, and ArtSusan FeaginDeeper Than Reason: Emotion and Its Role in Literature, Music, and Art, by Jenefer Robinson; 516 pp. Oxford: Clarendon Press, 2005, $35.00.Jenefer Robinson's lucid yet closely-argued book has four parts. The first part presents a theory of the emotions in general. The second part develops and defends the view that "some works of literature... need to (...) be experienced emotionally if they are to be properly understood" (p. 3) and draws some implications for other arts. Part Three develops a new theory of expression, and Part Four examines the expression of emotion in and listeners' emotional responses to music. Robinson applies her theory of emotions and how they arise and are expressed in response to individual works of art throughout, and the extended discussions of Edith Wharton's The Reef and one of the intermezzi from Brahms's Opus 117 set are not to be missed.Robinson's use of psychological research to develop a philosophical theory of emotion is characteristic of an increasingly popular practice in the philosophy of mind. Her descriptions of this often highly technical literature are among the best with respect to accuracy and clarity. On most accounts, emotions are mental states; on Robinson's, they are mental processes. These processes are always initiated by "an automatic 'affective appraisal' [that] induces characteristic physiological and behavioral changes and is succeeded by... 'cognitive monitoring' of the situation" (p. 3). The appraisal is also referred to as a 'non-cognitive' appraisal, which may sound like an oxymoron. Robinson explains: these appraisals are non-cognitive "in the sense that they occur without any conscious deliberation or awareness, and that they do not involve any complex information processing" (p. 45; see also p. 59). Appraisals have a valence, positive or negative, sufficient to induce a characteristic pattern of physiological and (roughly, involuntary) behavioral responses, such as alterations in galvanic skin response and movements of facial muscles. These changes are succeeded by cognitive monitoring of the situation, resulting in conceptually more sophisticated assessments of one's initial response with respect to its suitability to the circumstances and in relation to one's beliefs. Thus, cognitive monitoring generates the more cognitively complex emotions, and here she is in agreement [End Page 420] with the "judgment theorists" (p. 90) that these emotions are individuated by cognitions. Robinson seeks a univocal account of emotions for humans and other sentient creatures, though with humans it is possible for a "complex cognition" to trigger the process that constitutes having an emotion and cognitive feedback may occur in general throughout the process in ways that are not possible for creatures lacking the relevant complex mental capacities (p. 93).The fact that complex cognitions can constitute the initial stage of an emotion makes it possible to respond emotionally to literature. As in emotional situations in real life, emotions are initiated by automatic affective appraisals that have to do with one's own wants and interests, calling our attention to something important in the novel, which may lay down its own memory system, linked with bodily feelings, which is then subject to cognitive appraisal and reappraisal. Cognitive reflection facilitates the understanding of narratives as well as characters, and with respect to the latter, she argues, deploys the same mental systems that are engaged in understanding people. Further, it is not merely the beliefs that one may acquire as a result of the process that is educational, but the process of emotional understanding itself (p. 155). Indeed, Robinson endorses the strong claim that for at least some novels, those that are part of the "Great Tradition" of nineteenth-century realistic British and American literature, it is necessary to experience them emotionally to understand them.Part Three exposits a theory of the expression of emotion simpliciter and then makes adjustments to it to build a theory of expression in art, taking advantage of Romantic theories of expression developed in the works of, for example, Collingwood. Reflection on ordinary expression allows an artist to clarify and articulate "what it is like to go through the emotion process," which may be revealed both in the... (shrink)

Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality, intelligent agents, entertainment, and more. Facial macro-expressions or intense facial expressions are the most common modalities in recognizing emotional states. However, since facial expressions can be voluntarily controlled, they may not accurately represent emotional states. Earlier studies have shown that facial micro-expressions are more reliable than facial (...) macro-expressions for revealing emotions. They are subtle, involuntary movements responding to external stimuli that cannot be controlled. This paper proposes using facial micro-expressions combined with brain and physiological signals to more reliably detect underlying emotions. We describe our models for measuring arousal and valence levels from a combination of facial micro-expressions, Electroencephalography (EEG) signals, galvanic skin responses (GSR), and Photoplethysmography (PPG) signals. We then evaluate our model using the DEAP dataset and our own dataset based on a subject-independent approach. Lastly, we discuss our results, the limitations of our work, and how these limitations could be overcome. We also discuss future directions for using facial micro-expressions and physiological signals in emotion recognition. (shrink)

A lot of research has been done on the detection of mental workload using various bio-signals. Recently, deep learning has allowed for novel methods and results. A plethora of measurement modalities have proven to be valuable in this task, yet studies currently often only use a single modality to classify MWL. The goal of this research was to classify perceived mental workload using a deep neural network that flexibly makes use of multiple modalities, in order to allow for feature sharing (...) between modalities. To achieve this goal, an experiment was conducted in which MWL was simulated with the help of verbal logic puzzles. The puzzles came in five levels of difficulty and were presented in a random order. Participants had 1 h to solve as many puzzles as they could. Between puzzles, they gave a difficulty rating between 1 and 7, seven being the highest difficulty. Galvanic skin response, photoplethysmograms, functional near-infrared spectrograms and eye movements were collected simultaneously using LabStreamingLayer. Marker information from the puzzles was also streamed on LSL. We designed and evaluated a novel intermediate fusion multimodal DNN for the classification of PMWL using the aforementioned four modalities. Two main criteria that guided the design and implementation of our DNN are modularity and generalisability. We were able to classify PMWL within-level accurate on a seven-level workload scale using the aforementioned modalities. The model architecture allows for easy addition and removal of modalities without major structural implications because of the modular nature of the design. Furthermore, we showed that our neural network performed better when using multiple modalities, as opposed to a single modality. The dataset and code used in this paper are openly available. (shrink)

Spontaneous Infra-Slow Fluctuations of the human EEG were discovered 60 years ago when appropriate amplifiers for their recordings were designed. To avoid skin-related artifacts the recording of EEG-ISFs required puncturing the skin under the electrode. In the beginning of the 21st century the interest in EEG-ISFs was renewed with the appearance of commercially available DC-coupled amplified and by observation of ISFs of the blood oxygen level–dependent functional magnetic resonance imaging signal at a similar frequency. The independent components of (...) irregular EEG-ISFs were shown to correlate with BOLD signals which in turn were driven by changes in arousal level measured by galvanic skin response, pupil size and HRV. There is no consensus regarding the temporal organization of EEG-ISFs: some studies emphasize the absence of peaks on EEG-ISFs spectra, some studies report prominent oscillations with frequency around 0.1 or 0.02 Hz, while some emphasize multiple discrete infraslow oscillations. No studies used parameters of EEG-ISFs as neuromarkers to discriminate psychiatric patients from healthy controls. Finally, a set of working hypotheses is suggested that must be tested in future research to solve the enigma of EEG-ISFs. (shrink)