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Friends of the Nonverbal Communication Blog, this week we present the paper “Too close for confort? The impact of salesperson-customer proximity on consumers’ purchase behavior”, by Otterbring, T.; Wu, F. and Kristensson, P. (2020), in which authors investigate how different distances between the salesperson and the customer affect the customers’ behavior. 

One of the areas in which the domain of non-verbal communication interests the most is in sales and commerce. We know well that, if we master it, it can be a great help to increase the profits of a business.

One aspect that has been discussed and about which there are different theories is proxemics with respect to direct store service.

Conventional wisdom suggests that salespeople must maintain close physical proximity to customers to demonstrate their care, offer personalized service, and close sales.

However, does this strategy always bring positive results? This is the question from which authors start to carry out the different experiments.

The existing literature suggests that marketers intuit that greater proximity to consumers is desirable, even in the absence of verbal interactions.

In line with this idea, other research shows that greater physical proximity between sellers and customers can improve feelings of acceptance with respect to the store and, therefore, purchase intentions.

Authors hypothesize that this would only occur in contexts of non-expressive consumption.

But what is expressive and non-expressive consumption?

Non-expressive products would be those utilitarian ones, such as personal hygiene products, food, etcetera. However, people buy and consume products for other non-functional purposes, for symbolic reasons, such as the creation and expression of their identity. The latter would be the expressive products.

Authors therefore argue that when products reflect one’s identity, which occurs in contexts of expressive consumption, people will be more prone to self-presentation concerns.

In fact, there is previous research mentioned in the article, which suggests that when clients are motivated to express their own identities, they generally distance themselves from others to assert their distinction.

Other authors point out that consumers tend to distrust when they perceive a hidden persuasion intention in sellers, and see them as social entities separate from them, with different objectives.

In addition, the simple sensation of being watched can reduce the perception of privacy, with subsequent negative consequences for consumption and customer satisfaction.

Regarding research on proxemics, it is known that the invasion of personal space can generate feelings of discomfort and psychological discomfort, especially if the physical distance between two people is less than one meter.

To examine these questions in expressive consumer settings, the authors conducted four studies with a total sample of more than 1,200 participants.

They showed that the close presence of a seller significantly decreases loyalty, purchase intentions, and actual spending in the aforementioned contexts.

Even intermediate levels of proximity could produce negative consumer responses compared to greater interpersonal distances.

The results reveal that there is an underlying psychological distress, an effect moderated by the relevance of identity.

In other words, and to summarize, consumers experience greater discomfort and respond in a way to the seller who is nearby.

The results contribute to the growing body of literature that highlights discrepancies between general intuition-based beliefs and actual consumer reactions.

Authors suggest that sellers should receive adequate training on how much personal space to provide buyers, as offering too little space can lead to the opposite effect.

As a limitation, the authors note that they conducted the studies in individualistic cultures with less interpersonal contact, such as North America and Northern Europe. Therefore, they suggest that in cultures such as Latin America or southern Europe, different results could be obtained.

Regarding future research, they suggest studying when and why consumers experience discomfort as a result of the proximity of the seller, and what psychological processes could potentially explain this state of aversion.


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Friends of the Nonverbal Communication Blog, this week we present the paper “The Role of Emoticons in the Comprehension of Emotional and Non-emotional Messages in Dyslexic Youth: a Preliminary Study”, by Lesniak, E. and Grzybowski, S. J. (2021) in which authors carry out a preliminary study to evaluate the comprehension of messages with emoticons within young people with dyslexia. 

Of all learning disabilities, dyslexia is the most common one, with a prevalence rate of up to 17% of the world’s population, with many undiagnosed school-age children and young people.

In addition to being a learning disability, it is also a source of behavioral, emotional, and psychosocial complications, plus, it can even become so in the long term.

Dyslexia is characterized by poor reading precision and/or poor fluency, which, together with poor spelling and decoding, have a full impact on reading comprehension.

These deficits have been shown to negatively affect executive functions, such as selective attention. There is some data that even indicates that dyslexia could be related to more serious problems in cognitive mechanisms, such as executive attention and working memory.

Dyslexia causes problems at school, but also in the personal and social sphere, where adolescents can be a more vulnerable group, given that the vast majority of their social contact consist of writing and reading messages online (social networks).

It is important to investigate how dyslexic young people carry out tasks of daily life, such as reading messages of different types, and how the factors that online messaging systems possess place them.

One of the distinguishing characteristics of online messaging systems is the presence of non-verbal aids for verbal communication. These aids are emoticons.

They perform non-verbal functions in online communication and are used to express not only emotions and humor, but also to strengthen the verbal content of the message, while respecting its interpretation. In addition, it conveys specific aspects of speech acts, such as the user’s intentions. Its purpose is to make the message as understandable as possible.

Furthermore, the majority of young people born after 1980 (so-called millennials) are well aware of the use of emoticons and rely heavily on them in their daily exchanges of written messages.

Therefore, authors consider that it is worth examining the role and benefits (if there is any) of emoticons in the reading comprehension of young dyslexics, because they depend on the online messaging applications in their daily life, especially with the situation pandemic and post-pandemic, which forces to maintain social isolation.

For the experiment, authors gathered a total of 32 primary and secondary school students, aged 11-15 years. 16 of them were classified in the team of young people with dyslexia, and the other 16 were the control group.

They were shown a series of short messages, with emoticons, emulating the messaging platform “Messenger”.

Authors compared the comprehension of the written messages with or without emoticons with the reaction times and the precision of the answers given in both the experimental and the control groups.

The longest response times were in the experimental group, with young people with dyslexia. This could reflect the problems they may have getting the right information. In addition, it could be considered as a plus to provide more time during the educational process for young people with dyslexia, including written tests.

The fastest responses were given in both groups when there were emoticons present in the messages. Conversely, messages lacking non-verbal cues and lacking emotional content appeared to be the most difficult to process.

The analyzes and verification that the responses to the messages with no emoticons (that is, those that do not represent emotions) were the most accurate. Possibly, these emoticons are the ones that most benefit people with this disability, since they are purely non-verbal signs that serve as graphic transcriptions of the verbal content and help in the understanding of the message.

As such, they could be implemented in educational programs and online studies as aids in reading comprehension tasks.

On the other hand, traditional emoticons (which represent basic emotional states, such as happiness, sadness, or surprise), could be seen as more complex in nature, as they add an interpretation, or an intention, to the message.

However, this last point should be approached with caution because there were no significant differences between the accuracy of the responses to messages with traditional emoticons and to messages with non-traditional emoticons.

A limitation of this study is that, due to its exploratory and preliminary nature, the sample size is small, which limits the interpretation of the data and the results obtained and is a point on which future investigations should focus. 


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Friends of the Nonverbal Communication Blog, this week we present the paper “Survey On Emotional Body Gesture Recognition” by Noroozi, F.; Kaminska, D.; Corneanu, C. P.; Sapinski, T.; Escalera, S. and Anbarjafari, G. (2018), in which authors make a brief revision about some of the systems used for the recognition of body gestures and their decoding.

We know that nonverbal language plays an indispensable role in our daily communication. Plus, people constantly change the nonverbal cues that we emit through body movement and facial expressions.

Although it is a significant aspect of human social psychology, the first studies on body language became popular in the 1960s.

But probably the considered most important work was published long before the 20th century: “The expression of emotions in man and animals”, by Darwin. He observed, for example, that people around the world used facial expressions in similar ways.

This was later studied by Paul Ekman, who, with Friesen, developed the Facial Action Coding System (FACS) to classify human facial expressions.

Such is the role of nonverbal communication that many researchers agree that it is body movements that allow relationships and bonds to be formed, not words.

Gestures would be one of the most important forms of nonverbal communication. They include movements of the hands, head, and other parts of the body that allow people to communicate their feelings and emotions.

Most of the basic gestures are the same all over the world: when we are happy, we smile; when we are angry, we frown.

Head position also reveals a lot of information about emotional state. For example, people tend to speak more if the listener encourages them by nodding. If the chin is raised, it can mean that the person is showing superiority or even arrogance, while exposing the neck can be interpreted as a sign of submission.

We point out, as always, the need to consider the context and different parts of the body to correctly interpret the emotional state.

Although emotions can be expressed in different ways, the automatic recognition of them has focused mainly on facial expressions and speech, leaving work on gestures / body movements and posture in the background.

In this article, authors attempt to provide an overview of the techniques for automatic recognition of emotions from body gestures.

We refer to digital and technological recognition systems. To use them, you must first use a database, either publicly accessible or private, to search for images or videos.

The first step is to detect the bodies of the people as a whole and subtract the background. The pose is then detected and tracked to reduce irrelevant data variation caused by the pose. Finally, an adequate representation of the data must be made, and techniques applied to map it.

Most of the data available in public databases contain acted expressions, but show clear and undistorted emotions. However, some researchers report that they do not reflect real world conditions. For this reason, many experts recommend using movies, reality shows or live programs, where the quality of the material may not be optimal, but it is much more real.

The applications of emotional body gesture recognition are mainly of three types.

First, there are those systems that detect the emotions of users.

Second, there are animated conversational agents, real or virtual, such as robots or avatars that are expected to act like humans.

Finally, there are the systems that can be applied in videotelephony, videoconferencing, stress monitoring tools, violence detection or video surveillance, among other areas.

Automatic recognition systems can use information sources that are based on the face, voice, and body gestures at the same time. Therefore, if the system can combine emotional and social aspects of the context, and make a decision based on the available cues, it can be a useful assistant for humans.

An example of posture estimation and monitoring, in this case of several people, is “Arttrack”. With this software, cutting-edge results are achieved using a technology capable of detecting and associating the body joints of the same person.

This model is especially useful when trying to formulate articulate posture tracking. It allows, therefore, to solve the association problem for different people in the same scene.

However, in general, current representations remain superficial. Although recently experts are learning to give them depth and relevance for the recognition of affections, there is still a long way to go.

One limitation is the scarcity of body gestures and multimedia affective data. Another would be the lack of consensus regarding the interpretation of gestures.

In general, for a comprehensive human affective analysis from body language, body gesture recognition must learn from emotional facial recognition.


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NonVerbal Communication Blog