Dramatic Premise and Human Purpose

2022 ◽  
pp. 50-73
Author(s):  
Stephen Brock Schafer
Keyword(s):  
Artificial Intelligence ◽  
Common Denominator ◽  
Media Technology ◽  
The Unconscious ◽  
Dramatic Structure ◽  
Significant Difference ◽  
Human Reality ◽  
First Cause ◽  
Universal Structure ◽  
Human Purpose

Carl Jung's therapy is based on the dramatic structure of dreams, and current neurobiology and semantics confirms that drama—as defined by Plato—is the electromagnetic (EM) pattern of human reality. Therefore, fractal universal structure may be perceived in everything—“as above, so below”—and First Cause morality and intention can be correlated with contextual human purpose. Dramatic premise is a common denominator that integrates all of the dramatic components (plot, character, exposition, and lysis). First Cause Intention trickles down to personal harmony of purpose, but FC morality has always been problematic for humans. What part does evil play in the drama of human-cultural morality? Due to the significant difference of scale, human “contextuality” must be factored into the equation for moral behavior. Today's artificial intelligence (AI) algorithms for media technology can be used to foster authentic FC “coherent entrainment” according to Carl Jung's ratio between archetypes of the unconscious and their relatively conscious projections as archetypal representations (AR).

Designing an Ethical Structure for Social Influence Marketing (SIM)

2012 ◽  
pp. 252-271 ◽  
Author(s):  
Stephen Brock Schafer ◽  
Thomas Palamides
Keyword(s):  
Social Influence ◽  
Common Denominator ◽  
Media Technology ◽  
Dream Analysis ◽  
Cognitive States ◽  
Cognitive Research ◽  
Dramatic Structure ◽  
Human Reality ◽  
Cognitive Principles ◽  
The Media

Unprecedented advances in media technology have created the need to define ethics for a media-age ontology that combines the dynamics of physics and psychology. This unprecedented human reality has been called the media-sphere, and it appears to have all the dimensions and dynamics of dreams as defined by Carl Jung. Because of the dreamlike dynamics and structural dimensions of the media sphere, its psychological dynamics may be contemplated in terms of Jungian dream analysis which is intrinsically ethical. The Jungian model for dream analysis is structurally and dynamically consistent with the most recent discoveries in cognitive research. Because of its subjective, emotive, interactive integrity as defined by Aristotle’s dramatic unities, dramatic structure is a common denominator for the study of conscious-unconscious cognitive states. This chapter explores the ethics of social influence marketing (SIM) relative to the dynamics and standards of morality implied by cognitive principles of Analytical Psychology.

Designing an Ethical Structure for Social Influence Marketing (SIM)

E-Marketing ◽  
2012 ◽  
pp. 888-907
Author(s):  
Stephen Brock Schafer ◽  
Thomas Palamides
Keyword(s):  
Social Influence ◽  
Common Denominator ◽  
Media Technology ◽  
Dream Analysis ◽  
Cognitive States ◽  
Cognitive Research ◽  
Dramatic Structure ◽  
Human Reality ◽  
Cognitive Principles ◽  
The Media

Unprecedented advances in media technology have created the need to define ethics for a media-age ontology that combines the dynamics of physics and psychology. This unprecedented human reality has been called the media-sphere, and it appears to have all the dimensions and dynamics of dreams as defined by Carl Jung. Because of the dreamlike dynamics and structural dimensions of the media sphere, its psychological dynamics may be contemplated in terms of Jungian dream analysis which is intrinsically ethical. The Jungian model for dream analysis is structurally and dynamically consistent with the most recent discoveries in cognitive research. Because of its subjective, emotive, interactive integrity as defined by Aristotle’s dramatic unities, dramatic structure is a common denominator for the study of conscious-unconscious cognitive states. This chapter explores the ethics of social influence marketing (SIM) relative to the dynamics and standards of morality implied by cognitive principles of Analytical Psychology.

scholarly journals Artificial intelligence-based education assists medical students’ interpretation of hip fracture

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Chi-Tung Cheng ◽  
Chih-Chi Chen ◽  
Chih-Yuan Fu ◽  
Chung-Hsien Chaou ◽  
Yu-Tung Wu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Hip Fracture ◽  
Medical Students ◽  
Medical Image ◽  
Learning System ◽  
Significant Difference ◽  
Dynamic Collaboration ◽  
Increase In Accuracy ◽  
Image Learning

Abstract Background With recent transformations in medical education, the integration of technology to improve medical students’ abilities has become feasible. Artificial intelligence (AI) has impacted several aspects of healthcare. However, few studies have focused on medical education. We performed an AI-assisted education study and confirmed that AI can accelerate trainees’ medical image learning. Materials We developed an AI-based medical image learning system to highlight hip fracture on a plain pelvic film. Thirty medical students were divided into a conventional (CL) group and an AI-assisted learning (AIL) group. In the CL group, the participants received a prelearning test and a postlearning test. In the AIL group, the participants received another test with AI-assisted education before the postlearning test. Then, we analyzed changes in diagnostic accuracy. Results The prelearning performance was comparable in both groups. In the CL group, postlearning accuracy (78.66 ± 14.53) was higher than prelearning accuracy (75.86 ± 11.36) with no significant difference (p = .264). The AIL group showed remarkable improvement. The WithAI score (88.87 ± 5.51) was significantly higher than the prelearning score (75.73 ± 10.58, p < 0.01). Moreover, the postlearning score (84.93 ± 14.53) was better than the prelearning score (p < 0.01). The increase in accuracy was significantly higher in the AIL group than in the CL group. Conclusion The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.

Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of Artificial Intelligence: A pilot Study

Endoscopy ◽  
2020 ◽  
Author(s):  
Alanna Ebigbo ◽  
Robert Mendel ◽  
Tobias Rückert ◽  
Laurin Schuster ◽  
Andreas Probst ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Pilot Study ◽  
White Light ◽  
Submucosal Invasion ◽  
Learning System ◽  
Endoscopic Images ◽  
Barrett’S Cancer ◽  
Significant Difference ◽  
Sensitivity Specificity

Background and aims: The accurate differentiation between T1a and T1b Barrett’s cancer has both therapeutic and prognostic implications but is challenging even for experienced physicians. We trained an Artificial Intelligence (AI) system on the basis of deep artificial neural networks (deep learning) to differentiate between T1a and T1b Barrett’s cancer white-light images. Methods: Endoscopic images from three tertiary care centres in Germany were collected retrospectively. A deep learning system was trained and tested using the principles of cross-validation. A total of 230 white-light endoscopic images (108 T1a and 122 T1b) was evaluated with the AI-system. For comparison, the images were also classified by experts specialized in endoscopic diagnosis and treatment of Barrett’s cancer. Results: The sensitivity, specificity, F1 and accuracy of the AI-system in the differentiation between T1a and T1b cancer lesions was 0.77, 0.64, 0.73 and 0.71, respectively. There was no statistically significant difference between the performance of the AI-system and that of human experts with sensitivity, specificity, F1 and accuracy of 0.63, 0.78, 0.67 and 0.70 respectively. Conclusion: This pilot study demonstrates the first multicenter application of an AI-based system in the prediction of submucosal invasion in endoscopic images of Barrett’s cancer. AI scored equal to international experts in the field, but more work is necessary to improve the system and apply it to video sequences and in a real-life setting. Nevertheless, the correct prediction of submucosal invasion in Barret´s cancer remains challenging for both experts and AI.

Evaluation and Comparison of Artificial Intelligence Vision Aids: Orcam MyEye 1 and Seeing AI

2021 ◽  
pp. 0145482X2110274
Author(s):  
Christina Granquist ◽  
Susan Y. Sun ◽  
Sandra R. Montezuma ◽  
Tu M. Tran ◽  
Rachel Gage ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Performance ◽  
Visual Impairments ◽  
Light Level ◽  
Viewing Distance ◽  
Light Perception ◽  
Time To Completion ◽  
Significant Difference ◽  
Text Reading ◽  
Size Contrast

Introduction: We compared the print-to-speech properties and human performance characteristics of two artificial intelligence vision aids, Orcam MyEye 1 (a portable device) and Seeing AI (an iPhone and iPad application). Methods: There were seven participants with visual impairments who had no experience with the two reading aids. Four participants had no light perception. Two individuals with measurable acuity and one with light perception were tested while blindfolded. We also tested performance with text of varying appearance in varying viewing conditions. To evaluate human performance, we asked the participants to use the devices to attempt 12 reading tasks similar to activities of daily living. We assessed the ranges of text attributes for which reading was possible, such as print size, contrast, and light level. We also assessed if individuals could complete tasks with the devices and measured accuracy and completion time. Participants also completed a survey concerning the two aids. Results: Both aids achieved greater than 95% accuracy in text recognition for flat, plain word documents and ranged from 13 to 57% accuracy for formatted text on curved surfaces. Both aids could read print sizes as small as 0.8M (20/40 Snellen equivalent, 40 cm viewing distance). Individuals successfully completed 71% and 55% ( p = .114) of tasks while using Orcam MyEye 1 and Seeing AI, respectively. There was no significant difference in time to completion of tasks ( p = .775). Individuals believed both aids would be helpful for daily activities. Discussion: Orcam MyEye 1 and Seeing AI had similar text-reading capability and usability. Both aids were useful to users with severe visual impairments in performing reading tasks. Implications for Practitioners: Selection of a reading device or aid should be based on individual preferences and prior familiarity with the platform, since we found no clear superiority of one solution over the other.

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

scholarly journals Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries

2021 ◽  
Vol 14 (8) ◽  
pp. 339
Author(s):  
Tatjana Vasiljeva ◽  
Ilmars Kreituss ◽  
Ilze Lulle
Keyword(s):  
Artificial Intelligence ◽  
Primary Data ◽  
Structured Interviews ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Public Survey ◽  
Significant Difference ◽  
Main Factors ◽  
Negative Factors ◽  
Near Future

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.

scholarly journals The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau

Medicina ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 34
Author(s):  
Cheuk Kei Lao ◽  
Bing Long Wang ◽  
Richard S. Wang ◽  
Hsiao Yun Chang
Keyword(s):  
Artificial Intelligence ◽  
Exercise Training ◽  
Training Programs ◽  
Exercise Program ◽  
The Elderly ◽  
Control Group ◽  
Exercise Motivation ◽  
Sport Training ◽  
Study Results ◽  
Significant Difference

Background and objectives: Faced with the serious problem of an aging population, exercise is one of the most effective ways to maintain the health of the elderly. In recent years, with the popularization of smartphones, the elderly have increasingly accepted technological products that incorporate artificial intelligence (AI). However, there is not much research on using artificial intelligence bracelets to enhance elders’ motivation and participation in exercise. Therefore, the purpose of this study is to evaluate the effectiveness of the combination of sports smart bracelets and multi-sport training programs on the motivation of the elderly in Macau. Materials and Methods: The study was conducted with a randomized trial design in a 12 week multi-sport exercise training intervention. According to the evaluation, a total of sixty elders’ pre- and post-test data were included in this study. Results: After 12 weeks of multi-sport exercise training, the evaluation scores on the exercise motivation scale (EMS) increased significantly in the group wearing exercise bracelets and those taking part in the multi-component exercise program, and the degree of progress reached a statistically significant level, but the control group did not show any statistically significant difference. The influence of the combination of sports smart bracelets and multi-sport training programs on elders’ motivation is clearer. Conclusions: The use of sports smart bracelets by elderly people in conjunction with diverse exercise training can effectively enhance elders’ motivation and increase their participation in regular exercise. The combination of sports smart bracelets and multi-sport training programs is worth promoting in the elderly population.

Effect of transcendental meditation on breathing and respiratory control

1984 ◽  
Vol 56 (3) ◽  
pp. 607-612 ◽  
Author(s):  
N. Wolkove ◽  
H. Kreisman ◽  
D. Darragh ◽  
C. Cohen ◽  
H. Frank
Keyword(s):  
Transcendental Meditation ◽  
Minute Ventilation ◽  
Respiratory Control ◽  
Respiratory Pattern ◽  
Quiet Breathing ◽  
The Unconscious ◽  
Eyes Closed ◽  
Significant Difference ◽  
Regulation Of Breathing ◽  
Eyes Open

We studied the effect of transcendental meditation (TM) on breathing using 16 experienced meditators and 16 control subjects. In controls, there was no significant difference in minute ventilation (VE), respiratory pattern, or hypercapnic response, whether breathing with eyes open-awake (CA), or with eyes closed-relaxing (CR). In meditators, VE decreased significantly during quiet breathing from 14.0 +/- 0.7 1/min with eyes open-awake (MA) to 12.4 +/- 0.6 1/min during meditation (MM) (P less than 0.02). The change in VE during meditation was due to a decrease in tidal volume (VT) resulting from a shortened inspiratory time (TI). Meditation was associated with a decreased response to progressive hypercapnia from 3.7 +/- 0.4 to 2.5 +/- 0.21 X min-1 X Torr-1 during MA and MM trials, respectively (P less than 0.01). During meditation VT was smaller at a given alveolar PCO2 than during MA studies because of a decrease in mean inspiratory flow rate (VT/TI). These observations suggest that an alteration in wakefulness, more subtle than sleep or the unconscious state, can significantly affect the chemical and neural regulation of breathing.

The Subversion of Plato's Quasi-Phenomenology and Mytho-Poetics in the Symposium

Janus Head ◽  
2009 ◽  
Vol 11 (1) ◽  
pp. 59-76
Author(s):  
Bert Olivier ◽  
Keyword(s):  
Jacques Lacan ◽  
Human Condition ◽  
The Other ◽  
Philosophical Tradition ◽  
The Unconscious ◽  
Other Hand ◽  
Significant Difference ◽  
The One

Is there a significant difference between Plato's texts and what is known as 'Platonism', that is, the philosophical tradition that claims Plato as its progenitor? Focusing on the Symposium, an attempt is made here to show that, far from merely fitting neatly into the categories of Platonism—with its neat distinction between the super-sensible and the sensible—Plato's own text is a complex, tension-filled terrain of countervailing forces. In the Symposium this tension obtains between the perceptive insights, on the one hand, into the nature of love and beauty, as well as the bond between them, and the metaphysical leap, on the other hand, from the experiential world to a supposedly accessible, but by definition super-sensible, experience-transcending realm. It is argued that, instead of being content with the philosophical illumination of the ambivalent human condition—something consummately achieved by mytho-poetic and quasi-phenomenohgical means—Plato turns to a putatively attainable, transcendent source of metaphysical reassurance which, moreover, displays all the trappings of an ideological construct. This is demonstrated by mapping Plato's lover's vision of 'absolute beauty' on to what Jacques Lacan has characterized as the unconscious structural quasi-condition of all religious and ideological illusion.

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