The purposes of interpersonal communication

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Question 1: What is the purposes of interpersonal communication, and what are the characteristics of interpersonal communication.

Question 2: What is Social Cognition and emotions and what are the type of emotions it has.

Question 3:What are Verbal message fundamentals and the characteristics of language and also the meaning within the social and cultural context.

Question 4: The challenges to effective listening and what is the active listening process what does it consist of.

Question 5: What is empathizing and its three types, and what does supportive message do.

Sample Solution

The purposes of interpersonal communication

Interpersonal communication is the process of exchange of information, ideas and feelings between two or more people through verbal or non-verbal methods. It often includes face-to-face exchange of information, in a form of voice, facial expressions, body language and gestures. The other fundamental characteristic of interpersonal communication is that it is inherently rational. In short, it is meant to be understood. The level of one`s interpersonal communication skills is measured through the effectiveness of transferring messages to others. Interpersonal communication in the workplace plays an important role in employee satisfaction, motivation, collaboration and business success.

from fake photos by calculating the depth of the face, it is not that hard to break into a system that uses facial recognition. [3][8] US senator Al Franken has given his opinion on the problem of this topic in an open letter to the creators of an app that uses facial recognition (i.e. NameTag): “Unlike other biometric identifiers such as iris scans and fingerprints, facial recognition is designed to operate at a distance, without the knowledge or consent of the person being identified,” he wrote. “Individuals cannot reasonably prevent themselves from being identified by cameras that could be anywhere – on a lamp post, attached to an unmanned aerial vehicle or, now, integrated into the eyewear of a stranger.”. [9]
ii. Racial/ethnic bias
Recent research suggests that the algorithms behind facial-recognition technology may suffer from a racial or ethnic bias: many algorithms expose differences in accuracy across race, gender and other demographics [10].

It is shown in a study by P. J. Phillips [22] that algorithms developed in East Asia recognized Asian faces far more accurately than Caucasian faces. The exact opposite was true for algorithms developed in Europe and the United states. This implies that the conditions in which an algorithm is created can influence the accuracy of its results. A possible explanation for this is that the developer of an algorithm may program it to focus on facial appearances that are more easily distinguishable in some races than in others [10][22].

It is not only in the way the algorithm is programmed. It is also in the way the algorithm is trained. It is possible that a certain algorithm has more experience with Asian faces than with Caucasian faces. This unfair representation of the population which the algorithm might me used on, will lead to problems. If you do not include many images from one ethnic subgroup, it won’t perform too well on those groups because Artificial Intelligence learns from the examples it was trained on [19][22].

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