Mathews Journal of Psychiatry & Mental Health

2474-7564

Previous Issues Volume 2, Issue 1 - 2017

Original Article Abstract PDF  

Evaluating the Meaning of the Information Message and Speech-Mental Activity of a Person

Sergey Fadyushin1*, Leonid Vladimirov1, Elena Elsukova2, Lyudmila Krasyuk2, Galina Tsyganova2

1Associate Professor Far Eastern Federal University, Vladivostok, Russky Island, Russia.

2Senior, lecturer, Far Eastern Federal University, Vladivostok, Russky Island, Russia.

Corresponding Author: Sergey Fadyushin, Associate Professor, Far Eastern Federal University, Vladivostok, Russky Island, Russia, Tel: +7 423 265-24-29; E-Mail: [email protected]

Received Date: 12 Dec 2016 Accepted Date: 23 Jan 2017   Published Date: 25 Jan 2017   

Copyright © 2017 Fadyushin S

Citation: Fadyushin S, Vladimirov L, Elsukova E, Krasyuk L, et al. (2017). Evaluating the Meaning of the Information Message and Speech-Mental Activity of a Person. Mathews J Psychiatry Ment Health. 2(1): 011.

ABSTRACT We would like to offer to the attention of the readers a scientific report as a statement of the author's hypothesis, which is experimentally tested, but requires an additional verification. The report addresses the trends outlined in the course of the scientific research on identification of regular patterns that describe the influence of information on people. The content of this scientific report relates to the field of interdisciplinary scientific research at the junction of the information theory and cognitive psychology. The article describes the criteria for evaluating the meaning of an information message and a speechmental activity of a person. Subject to an appropriate follow-on development, the results obtained can be applied in cognitive psychology, psychiatry and in the domain of artificial intellect.

KEYWORDS Information; Entropy; Cognitive Psychology; Galvanic Skin Response; Delirium.

INTRODUCTION We continue publishing the findings of the scientific research on the topic of information influence on people. This scientific report addresses the findings of the research, the beginning of which was described in our article [1]. In this research we tried to identify the criteria for evaluating the meaning of an information message and speech-mental activity of a person. While the work has been performed, healthy people have been involved as test subjects. But, it would be useful and interesting to conduct a series of experiments under clinical conditions, because in terms of emotions, a healthy individual and a person suffering from a mental disorder can perceive the meaning of the same information message in dissimilar ways. The sphere of our scientific interest includes the elements of information theory and cognitive psychology. Characterizing cognitive psychology as a new scientific trend in psychology, W. Naisser noted in his book that tracing the movement of the information flow within the "system" (i.e. in the brain) is a toppriority objective in this new field of knowledge [2]. The goal set by one of the founders of cognitive psychology is identical to the goal of our scientific work. This implies that the object of our study is cognitive psychology, which we research using the method of information theory. A person conveys or receives information in the process of speech-mental activity. This is a conscious or unconscious intellectual activity of a person, in which information is used in the form of speech. For presentation of information, an alphabet of the relevant natural language is used. One of the derivatives of the speech-mental activity of a person is a textual information message (text), to which a person attaches some meaning. A textual information message with a sense attached to it is the subject of our research. The speech-mental activity plays an important role in the process of interaction between people. One of the reasons why conflicts occur between people could be a misinterpreted information message. In other words, misinterpretation of the sense of the information message. This question is also relevant in psychiatry for evaluation of the speech-mental activity of a person in a disturbed state of mind (delirium).  

MATERIALS AND METHODS

From our point of view, the meaning of information message is the human thought encoded by means of certain linguistic signs and represented in oral or written form. In order to establish the criteria for evaluation of the sense of an informational (textual) message and speech-mental activity, we have used one of the basic concepts of information theory - entropy. The studies show that the entropy of a textual informational message is able to influence the emotional state of a person and can be used as one of the factors for correction of the addictive behaviour [3, 4]. According to C. Shannon "The entropy is a statistical parameter which measures, in a certain sense, how much information is produced on the average for each letter of a text in the language" [5].

What kind of relationship is there between entropy, meaning and emotional state of a person? To answer this question, we have conducted a comparative statistical analysis of two types of text messages and evaluated their influence on the emotional state of a person. These types of texts include: 1. An ordinary text, for example, an excerpt from a scientific article. 2. A probabilistic text - that same ordinary text, but with a random distribution of words. This implies that the first type is the text containing meaning, while the second one is an analog of the speech-mental activity of a person in a state of delirium

For each type of text, the difference of entropies of two adjacent words was calculated (ΔH), characterizing coherence of words in the textual information message. For this coherence of words variance was calculated as a random value, and correlated with the evaluative parameters of the galvanic skin response (GSR). If we suppose that letters in a text sequence are independent, then entropy and, therefore, the quantity of information can be calculated according to the formula [6]:

Where H is entropy of a multitude of probabilities pi , bits per symbol; pi - probability of occurrence of a letter in the text message. A test subject was offered to read both types of text messages. In doing so, his emotional state was evaluated using the GSR parameters. In our research, the following GSR parameters were used as evaluative ones: • GSR-activity TA, cNp/min. The GSR-activity value is obtained as the average of amplitudes of single phase GSR signals over the test time expressed in centiNapiers (cNp) per one reaction. • Time of activation phase ti , sec. It characterizes the instantaneous speed of the GSR signal in the activation phase. • Time of relaxation phase ti, sec. It characterizes the instantaneous speed of the GSR signal in the relaxation phase. • Activation amplitude aicNp. Increment of activation in i-th reaction. • Relaxation amplitude -aicNp. Decrement of activation after relaxation in i-th reaction. • Average activation speed VicNp/min. It characterizes the "strength" of response in i-th reaction. • Average relaxation speed -VicNp/min. It characterizes the intensity of reduction processes in the skin. The works of Sukhodoev can be referred to for a more detailed description of the listed parameters [7, 8]. For registration of GSR and measurement of evaluation parameters, two-channel hardware and software complex "DIANEL 11S-iON" was used, its description being available in [9].

RESULTS AND DISCUSSION

A series of tests on healthy people was conducted according to the described methodology. The results of one of the tests are given in the Table 1. The rest of the tests had similar results.

Table 1:Results of test

Evaluative parameter of GSR Ordinary text Probabilistic text
Left channel Right channel Left channel Right channel
GSR-activity TA, cNp/min 48,89 41,69 14,03 11,30
Activation time ti, sec 2,28 2,70 1,26 1,27
Relaxation time ti, sec 19,13 18,62 17,53 15,07
Activation amplitude aicNp 18,09 15,43 4,72 3,26
Relaxation amplitude -aicNp 20,30 17,47 15,35 11,80
Activation speed VicNp/min 7,80 5,53 3,35 2,57
Relaxation speed -VicNp/min 1,29 2,26 1,55 1,04

According to the tabulated data and readings of the hardware and software suite "Dianel 11S-iON", the emotional state of a person in testing with the use of the first type of texts was evaluated as an activity of an average intensity. In tests with the use of the second type of texts the activity was intensified. It is obvious that the increased emotional activity is connected with the fact that the test subject was trying to grasp the meaning of the textual information message in the senseless set of words. When calculating the variance of words' coherence in terms of entropy Var(ΔH ) for the first and second types of texts, the variance was equal respectively to: 1. Var (ΔH )1= 0,794643 (bits per symbol)2; 2. Var (ΔH )2= 0,698014 (bits per symbol)2. Having compared the results obtained after calculation of variance with the content of the respective texts, we arrived at the conclusion that variance of the words' coherence in terms of entropy may serve as a criterion for evaluating the meaning of the textual information message (M):

M = Var (ΔH ). For the reason that the text with a lesser variance value affects the emotional state of a person more strongly, for the qualitative evaluation of the speech-mental activity, a criterion equal to the inverse value of the word coherence variance in terms of entropy is offered (M-1):

M-1 = Var (ΔH )-1. A probabilistic assessment of the information message in the process of speech-mental activity of an individual can be performed by way of the following comparisons: 1) if Mi ≥ M, then the information message relates to the first type; 2) if Mi < M̅, then the information message relates to the second type. In inequalities 1) and 2) the following symbolic notations are used: Mi - a criterion for assessing the meaning of the textual information message of an individual; M- an average statistical value of the same criterion for healthy people.

Let us assume that the variance of the words' coherence in terms of entropy for an individual is less than an average statistical value of this criterion for healthy people. Then, most probably, this information message is a result of a speech-mental activity of a person being in the state of delirium.  

CONCLUSIONS Thus, the following conclusion can be drawn: the less the text of an information message is ordered in terms of probabilistic distribution of words, the greater is the variance of coherence, and vice versa. The revealed pattern allows to use the variance of the words' coherence in terms of entropy for qualitative assessment of the meaning of the textual information message, i.e., the greater the variance, the greater is the meaning, and vice versa. However, there is an inverse relationship between the meaning of the information message and the emotional state of a healthy person. In other words, the simpler the information message is formulated, the more it is understandable to another person and does not provoke in him strong emotional reactions. This conclusion corresponds to a well-known phrase «The one, who thinks clearly, expresses one's thoughts clearly». This is a kind of a qualitative criterion for evaluation of the speech-mental activity of a person. After an appropriate follow-on development the results obtained can be used in cognitive psychology, psychiatry and in the field of artificial intellect.

REFERENCES

  1. Fadyushin S. (2016). Word, Information, Person as Concepts of Cognitive Psychology. M J Psyc. 1(1): 003.
  2. Neisser U. (1967). Cognitive Psychology. Appleton-Century-Crofts New York.
  3. Fadyushin SG, Lobodenko AS and Milyaeva CE. (2014). Impact of text entropy on the human emotional state. Life Sci J. 11(10): 289-291.
  4. Fadyushin SG, Lobodenko AS and Milyaeva CE. (2015). Entropy of the Word as a Correction Factor of Addictive Human Behavior. Procedia - Social and Behavioral Sciences. 214: 797-804.
  5. Shannon C. (1951). Prediction and entropy of printed English, BSTJ. 30(1): 50-64.
  6. Shannon CE. (1948). A Mathematical Theory of Communication. Bell System Technical Journal. 27: 379-423, 623- 656.
  7. Sukhodoyev VV. (1999). Methodological Support for Measuring, Analysing and Applying the Parameters of the Human Galvanic Skin Responses. Problematicity in the Context of the Professional Activity. A Collection of Articles, M: Institute of Psychology of the Russian Academy of Sciences Publishing House. 303-328.
  8. Sukhodoyev VV. (1992). The Analysis of Scales Used for Measuring Human Galvanic Skin Responses. Human Physiology, 18(1): 56-63.
  9. DIANEL 11S-iON for the assessment of psycho-emotional condition.

Creative Commons License

© 2015 Mathews Open Access Journals. All Rights Reserved.

Open Access by Mathews Open Access Journals is licensed under a
Creative Commons Attribution 4.0 International License.
Based On a Work at Mathewsopenaccess.com