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Clickbait has become a popular strategy for attracting online users by enticing them to follow the link to a particular website to read further. The purpose of this paper is to fill a gap in the literature by providing empirical evidence of how clickbait headlines affect online users’ emotional and behavioral responses, specifically emotional arousal and intention to read news. In addition, it is an early attempt to examine pupillary dilation response as an indicator of emotional arousal in the online news context.

An experiment was conducted primarily to examine the levels of emotional arousal evoked by two treatment groups of online news headlines, news and clickbait, compared to a neutral control group. Emotional arousal was assessed using two approaches – pupillary dilation response recorded by an eye-tracking device and the Self-Assessment Manikin (SAM) – and the results were compared. The influence of emotional arousal on intention to read news was hypothesized and tested.

The level of emotional arousal evoked by the headlines varies. In general, clickbait headlines generate a higher level of emotional arousal than do the neutral headlines but a lower level than the news headlines. The results also indicate that the level of emotional arousal measured by pupillary dilation response and by SAM are somewhat consistent. Emotional arousal appears to be a significant predictor of intention to read news.

This study is an initial attempt to investigate how clickbait headlines influence online users’ perceptions and responses, which will be of interest to researchers and news media publishers. The current study also provides evidence for adopting pupillary dilation response, an unobtrusive measure of emotional response, as an alternative methodology for future studies that investigate emotional arousal related to textual information in the online news context.

The purpose of this paper was to investigate how attention to wine labels related to preference by using quantitative measures of gaze and of the diameter of the eye pupil. We assessed whether eye fixations could predict choices and willingness to pay and whether pupil size could index the aesthetic value of wine labels. More specific goals were to identify which elements of a wine label captured attention the most and to assess whether an authentic label would be preferred by naïve consumers over other alternative labels, also designed by the same studio but excluded from the market.

Infrared eye-tracking was used to measure the amount of time spent on a specific label among four that were simultaneously shown on the computer screen. Participants also made explicit decisions about preferred labels and provided price estimates. Pupillometry was used for labels shown in isolation to obtain a physiological index of their arousing effect and aesthetic appeal. Eye fixations provided an index of what was selected by attention, whereas changes in the pupillary diameter indexed how intensively attention was focused on an item.

A strong positive relationship was found between the dwelling of gaze over a specific label and the degree in which a wine bottle was preferred and (virtually) chosen. The pictorial elements of the labels were fixated the most, whereas verbal information was looked at the least. Attractiveness scores of each bottle collected with one independent group of observers were able to predict the willingness to pay in another group. Moreover, pupil size changed non-linearly in relation to the hedonic values of the wine labels, indicating greater responses to the most as well as least attractive labels (i.e. for the most arousing labels).

A limitation of the present experiments was that only choices and behavior of wine “novices” were probed; hence, the present findings might not be generalized to other segments (e.g. wine connoisseurs). Moreover, the present study could not specify which visual properties of a label affect preference, aesthetic value and estimates of price, as the study of these effects would require a large number and variety of label stimuli.

Eye monitoring methods could assist marketing studies of preferences and decision-making. Both wine label designers and wine producers could benefit from eye-tracking methods to improve label selection and optimize the design process of a wine label.

Although both eye-tracking and pupillometry have been used to the investigate aesthetic preferences for at least the past 50 years, the measurement of pupil diameter and eye movements to study attributes of (authentic) wine labels and their effectiveness is entirely novel. The present study confirms that measures based on eye-tracking combined to explicit choices or ratings provide complementary types of market-relevant information. Both methods provide objective, quantitative, information of the effect of the labels on consumers that is independent but predictive of actual choices and verbally reported preferences. Moreover, they appear to index different processes, pupillometry being a proxy of aesthetic value and gaze a reliable index of choice. Thus, the present findings can be of value to the academic researcher as well as industry and design practitioners.

Although first rank symptoms focus on positive symptoms of psychosis they are shared by a number of psychiatric conditions. The difficulty in differentiating bipolar disorder from schizophrenia with affective features has led to a third category of patients often loosely labeled as schizoaffective. Research in schizophrenia has attempted to render the presence or absence of negative symptoms and their relation to etiology and prognosis more explicit. A dichotomous population is a recurring theme in experimental paradigms. Thus, schizophrenia is defined as process or reactive, deficit or non-deficit and by the presence or absence of affective symptoms. Laboratory tests confirm the clinical impression showing conflicting responses to dexamethasone suppression and clearly defined differences in autonomic responsiveness, but their patho-physiological significance eludes mainstream theory. Added to this is the difficulty in agreeing to what exactly constitutes useful clinical features differentiating, for example, negative symptoms of a true deficit syndrome from features of depression. Two recent papers proposed that the general and specific cognitive features of schizophrenia and major depression result from a monoamine-cholinergic imbalance, the former due to a relative muscarinic receptor hypofunction and the latter, in contrast, to a muscarinic hypersensitivity exacerbated by monoamine depletion. Further development of these ideas will provide pharmacological principles for what is currently an incomplete and largely, descriptive nosology of psychosis. It will propose a dimensional view of affective and negative symptoms based on relative muscarinic integrity and is supported by several exciting intracellular signaling and gene expression studies. Bipolar disorder manifests both muscarinic and dopaminergic hypersensitivity. The greater the imbalance between these two receptor signaling systems, the more the clinical picture will resemble schizophrenia with bizarre, incongruent delusions and increasingly disorganized thought. The capacity for affective expression, by definition a non-deficit syndrome, will remain contingent on the degree of preservation of muscarinic signaling, which itself may be unstable and vary between trait and state examinations. At the extreme end of muscarinic impairment, a deficit schizophrenia subpopulation is proposed with a primary and fixed muscarinic receptor hypofunction.

The genomic profile of bipolar disorder and schizophrenia overlap and both have a common dopaminergic intracellular signaling which is hypersensitive to various stressors. It is proposed that the concomitant muscarinic receptor upregulation differentiates the syndromes, being marked in bipolar disorder and rather less so in schizophrenia. From a behavioral point of view non-deficit syndromes and bipolar disorder appear most proximate and could be reclassified as a spectrum of affective psychosis or schizoaffective disorders. Because of a profound malfunction of the muscarinic receptor, the deficit subgroup cannot express a comparable stress response. None -theless, a convergent principle of psychotic features across psychiatric disorders is a relative monoaminergic-muscarinic imbalance in signal transduction.

Online grocery shopping possesses characteristics that can make it more difficult than regular online shopping. There are numerous buying decisions to make each shopping session, there are large ranges of product types to choose from and there is varied arithmetical complexity. The purpose of this paper is to examine how such characteristics influence the attitude of consumers toward online grocery shopping websites.

The authors hypothesized that the product type (search or experience product), the task arithmetic complexity, and the attention and cognitive load associated with browsing through product pictures have an effect on the attitude of online shoppers toward these websites. To test the hypotheses, 31 subjects participated in a within-subject laboratory experiment.

The results suggest that visual attention to product pictures has a positive effect on the attitude of online shoppers toward a website when they are shopping for experience goods, but that it has a negative effect on their attitude toward a website when the task arithmetic complexity is greater. They also suggest that the cognitive load associated with browsing through product pictures has a negative effect on the attitude of online shoppers toward a website when they are shopping for experience goods, and that greater cognitive load variation has a positive effect on their attitude toward a website when arithmetic task complexity is greater.

When designing online grocery websites, providing clear single unit quantities with pictures corresponding to the sales unit could help establish a clear baseline on which consumers can work out their quantity requirements. For decisions involving experience goods, product pictures may act as an important complementary information source and may even be more diagnostic than text description.

Results reinforce the relevance of enriching the study of self-reported measures of the user experience on e-commerce sites with automatic measures.

Human performance, particularly that of the warfighter, has been the subject of a large amount of research during the past few decades. For example, in the Medline database of medical and psychological research, 1,061 papers had been published on the topic of “military performance” as of October 2003. Because warfighters are often pushed to physiological and mental extremes, a study of their performance provides a unique glimpse of the interplay of a wide variety of intrinsic and extrinsic factors on the functioning of the human brain and body. Unfortunately, it has proven very difficult to build performance models that can adequately incorporate the myriad of physiological, medical, social, and cognitive factors that influence behavior in extreme conditions. The chief purpose of this chapter is to provide a neurobiological (neurochemical) framework for building and integrating warfighter performance models in the physiological, medical, social, and cognitive areas. This framework should be relevant to all other professionals who routinely operate in extreme environments. The secondary purpose of this chapter is to recommend various performance metrics that can be linked to specific neurochemical states and can accordingly strengthen and extend the scope of the neurochemical model.

The main purpose of this study is to analyze how consumers’ visual attention to wine label design correlates with their preferences. Accordingly, this study uses quantitative eye-tracking metrics to understand which design proposal has greater visual salience. A more specific objective was to assess which design proposal was preferred to be marketed.

The experiment involved evaluating of three different labeling proposals of an Italian winery. Infrared eye-tracking was used to measure implicit eye movements on the three bottles displayed, simultaneously, on a computer screen. A generalized linear model was used to test how consumers' visual attention to wine label design correlated with their preferences.

The design proposals were evaluated significantly differently, with one set being preferred. In general, a strong positive relationship was found between pausing to peruse a specific design proposal and making an explicit choice of the same bottle.

The main limitation of the experiment concerns the sample interviewed. As the sample is homogeneous, the results may not be generalizable to other segments. Furthermore, the addition of electroencephalographic devices that monitor brain activity could provide crucial information for understanding consumer behavior during the purchase decision-making process.

Eye-tracking methods could be useful for designers and wine producers during the evaluation process of design projects.

The use of eye-tracking for evaluating design proposals before placing a product on the market is relatively novel. This method provides objective, quantitative and predictive information on consumer preferences contributing guidelines to designers and marketers during the product conception phase.

This research used a Phenomenography approach of Eye Tracking to study the Biometric changes when participants were subjected to eight static subliminal images hidden in seven differently designed packages. Embeds or static subliminal stimulus in the form of pictures and words were hidden in seven different perfume packages and were used to study the changes experienced between the two groups, one of which was subjected to subliminal stimulus. This study was conducted in the Neuro Lab located in the SP Jain Sydney campus. A total of 46 healthy participants were separated into two groups, with one group shown image packages with static subliminal stimulus while the other group was shown image packages without any subliminal stimulus. Eye Tracking data was collected using iMotions. A detailed analysis of the Area of Interest (AOI), Fixation and Heat Map revealed that only a percentage of the participants visited the AOI with the hidden subliminal stimulus, but the participants who noticed the AOIs with the subliminal stimulus especially the male participants spent more time in the AOI indicating that they could be consciously processing the subliminal static stimulus. A statistical analysis of the time to first fixations (TIFF) revealed that the subliminal stimulus was not the first point of attraction.

The purpose of this paper is to examine consumer emotions and the social science and observation measures that can be utilised to capture the emotional experiences of consumers. The paper is not setting out to solve the theoretical debate surrounding emotion research, rather to provide an assessment of methodological options available to researchers to aid their investigation into both the structure and content of the consumer emotional experience, acknowledging both the conscious and subconscious elements of that experience.

A review of a wide range of prior research from the fields of marketing, consumer behaviour, psychology and neuroscience are examined to identify the different observation methods available to marketing researchers in the study of consumer emotion. This review also considers the self report measures available to researchers and identifies the main theoretical debates concerning emotion to provide a comprehensive overview of the issues surrounding the capture of emotional responses in a marketing context and to highlight the benefits that observation methods offer this area of research.

This paper evaluates three observation methods and four widely used self report measures of emotion used in a marketing context. Whilst it is recognised that marketers have shown preference for the use of self report measures in prior research, mainly due to ease of implementation, it is posited that the benefits of observation methodology and the wealth of data that can be obtained using such methods can compliment prior research. In addition, the use of observation methods cannot only enhance our understanding of the consumer emotion experience but also enable us to collaborate with researchers from other fields in order to make progress in understanding emotion.

This paper brings perspectives and methods together to provide an up to date consideration of emotion research for marketers. In order to generate valuable research in this area there is an identified need for discussion and implementation of the observation techniques available to marketing researchers working in this field. An evaluation of a variety of methods is undertaken as a point to start discussion or consideration of different observation techniques and how they can be utilised.

The most commonly described components of customer experience include cognitive and affective aspects. However, the subjective self-reported methods traditionally applied in tourism research cannot fully represent the instant, dynamic, and affective nature of customer experience. Therefore, there is a need for moment-based approaches and longitudinal methods in tourism research. The chapter provides a selective review of measures that can be used to assess the affective aspects of customer experience. Taking into account the advantages and limitations of each method, the integration of self-reported scales, moment-based psychophysiological techniques, and longitudinal methods should be considered as the best approach to measuring affective components of customer experience in tourism. This holistic interdisciplinary approach will help researchers and tourism practitioners understand the relationship between affective and cognitive components of tourists' pre-visit, onsite, and post-visit experience, as well as evaluate the effectiveness of marketing campaigns, identify weak points of tourists' customer journey, and maximize total travel experience.

Detecting emotion on user experience of web applications and browsing is important in many ways. Web designers and developers find such approach quite useful in enhancing navigational features of webpages, and biomedical personnel regularly use computer simulations to monitor and control the behaviour of patients. On the other hand, law enforcement agents rely on human physiological functions to determine the likelihood of falsehood in interrogations. Quite often, online user experience is studied via tangible measures such as task completion time, surveys and comprehensive tests from which data attributes are generated. Prediction of users' emotion and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time interval. However, such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording errors.

The authors propose a novel method-a window dynamic control system that addresses the foregoing issues. Primary data were obtained from laboratory experiments during which forty-four volunteers had their synchronised physiological readings, skin conductance response (SCR), skin temperature (ST), eye movement behaviour and users’ activity attributes taken using biosensors. The window-based dynamic control system (PHYCOB I) is integrated to the biosensor which collects secondary data attributes from these synchronised physiological readings and uses them for two purposes. For both detection of optimal emotional responses and users' stress levels. The method's novelty derives from its ability to integrate physiological readings and eye movement records to identify hidden correlates on a webpage.

Results show that the control system detects basic emotions and outperforms other conventional models in terms of both accuracy and reliability, when subjected to model comparison that is, the average recoverable natural structures for the three models with respect to accuracy and reliability are more consistent within the window-based control system environment than with the conventional methods.

The paper is limited to using a window control system to detect emotions on webpages, while integrated to biosensors and eye-tracker.

The originality of the proposed model is its resistance to overfitting and its ability to automatically assess human emotion (stress levels) while dealing with specific web contents. The latter is particularly important in that it can be used to predict which contents of webpages cause stress-induced emotions to users when involved in online activities.