scholarly journals Web-Based Sensitivity Training for Interacting with Facial Paralysis

2019 ◽  
Author(s):  
John Michael ◽  
Nicole Zhang ◽  
Kathleen Bogart ◽  
Luke McEllin

Previous research has shown that observers tend to form inaccurate, negatively biased first impressions of people with facial paralysis (FP). This is likely to be due in part to limits which facial paralysis imposes upon the expression of information about emotional states. It has been hypothesised that this problem may be ameliorated by a training program designed to encourage people who will encounter individuals with FP to focus on other channels of expression rather than the face, e.g. hand gestures, body language, tone of voice and speech content. We tested this hypothesis in two web-based studies. In Study 1, participants in the Trained Condition received tips for understanding/interacting with individuals with FP, and practice in identifying emotions expressed through body language. Participants in the Untrained Condition received only general information about FP, and practice in identifying emotions expressed through facial expression. In the test phase, we compared the two groups’ perception of emotions expressed in videos of individuals with FP, as well as their recall of the content of those videos. The results show that attending to bodily cues and to speech rather than facial cues can improve social perception and reduce bias. Study 2 tested participants in the Trained group two months later. The results show that the effects of the training did not persist. Taken together, our findings support the hypothesis that even brief training in attending to non-facial cues when interacting with individuals with FP can improve social perception and reduce bias, but that these effects do not persist over longer time periods in the absence of further training.

2020 ◽  
Author(s):  
Navin Ipe

Emotion recognition by the human brain, normally incorporates context, body language, facial expressions, verbal cues, non-verbal cues, gestures and tone of voice. When considering only the face, piecing together various aspects of each facial feature is critical in identifying the emotion. Since viewing a single facial feature in isolation may result in inaccuracies, this paper attempts training neural networks to first identify specific<br>facial features in isolation, and then use the general pattern of expressions on the face to identify the overall emotion. The reason for classification inaccuracies are also examined.<br>


2020 ◽  
Author(s):  
Navin Ipe

Emotion recognition by the human brain, normally incorporates context, body language, facial expressions, verbal cues, non-verbal cues, gestures and tone of voice. When considering only the face, piecing together various aspects of each facial feature is critical in identifying the emotion. Since viewing a single facial feature in isolation may result in inaccuracies, this paper attempts training neural networks to first identify specific<br>facial features in isolation, and then use the general pattern of expressions on the face to identify the overall emotion. The reason for classification inaccuracies are also examined.<br>


IFLA Journal ◽  
2021 ◽  
pp. 034003522110182
Author(s):  
Evans F Wema

This article reviews literature on the use of virtual learning environments by highlighting their potential and the challenges of introducing the same in Tanzania. It introduces the concept of virtual learning environments by demonstrating their applications to support teaching and learning. The article discusses the use of virtual learning environments in teaching information literacy courses by highlighting the success of using such tools in facilitating the teaching of information literacy courses to library users. In this review, special emphasis is placed on attempts by Tanzanian institutions of higher learning to introduce web-based teaching of information literacy and the challenges faced. The review reveals the need for Tanzanian institutions of higher learning to develop virtual learning environments to facilitate the teaching of information literacy courses to students and faculty so as to reach many of those who may not manage to attend the face-to-face information literacy sessions that are offered by librarians on a regular basis.


2021 ◽  
Vol 9 (02) ◽  
pp. 170-177
Author(s):  
Nirmali Gogoi ◽  
Anusuya Goswami

Introduction: The emerging infection of COVID-19 was initiated from Wuhan, China, have been spread to more than 210 countries around the globe including India. Now India is 4th position in the world scenario of COVID-19 with 426910 infected cases and 13,703 deaths by 22 June 2020. In the northeast, Assam is in highest position with 5,586 cases and 9 deaths till now. Awareness is the key factor for prevention of spread of COVID-19 among general people. In view of these contexts, the present study was undertaken to assess awareness of COVID-19 among general population of Northeast India. The aim of the study was to assess the level of awareness among general population of Northeast India regarding COVID-19. Materials and Methods: A web based survey was conducted among 185 people of deferent states of northeast during the period of April and May 2020. A self-structured validated questionnaire used for collecting information. Descriptive analysis was performed to represent the study characteristics. Awareness among the study population was categories into 3 Levels i.e Adequate, Moderately Adequate and Inadequate. Level of Adequate awareness considered as > (Mean + SD, Moderately Adequate as (Mean-SD)-(Mean + SD) and Inadequate as < (Mean-SD. Results & Discussion: Overall awareness on COVID-19, majority of respondents, 97(52.4%) have moderately adequate awareness. 49(26.5%) of respondents have adequate awareness and 39(21.1%) have inadequate awareness. It reveals that overall level of awareness is not satisfactory. Less than half of people were aware adequately about the COVID-19. Highest percentage of adequate, 36(44.4%) and inadequate, 21(25%) awareness reported from Manipur, Highest percentage of moderately adequate awareness reported from Nagaland, 17 (85%). Slightly more than half of respondents were aware about the general information, 102 (67.45%) and risk factors, 119 (64.3%) of COVID-19. Most of the respondents were aware about the mode of transmission, 176(95.1%), meaning of community transmission, 135 (72.9%), common sign and symptoms, 154(83.2%), and incubation periods 164(88.6%) of COVID-19. Regarding prevention of COVID-19, average awareness of total respondents was 154 (83.24%). Similar percentage of all levels of awareness have seen in male and female both. Conclusion: The virus is primarily spread between people during close contact, most often via small droplets produced by coughing, sneezing, and talking. Lack of awareness and negligence of general people regarding mode of transmission of COVID-19 which created community transmission. General people of Northeast still required awareness regarding COVID-19. There is a need of regular awareness programme among the general population by the health care professionals.


2018 ◽  
Vol 7 (4.10) ◽  
pp. 295
Author(s):  
Murali S ◽  
Manimaran A ◽  
Selvakumar K ◽  
Dinesh Kumar S

The secured web-based voting framework is the need of the present time. We propose another secure authentication for the online voting framework by utilizing face recognition and hashing algorithm. A simple verification process is accomplished during the initial registration process via email and phone. The voter is asked to give a unique identification number (UIN) provided by the election authority and face image at the time of main registration. This UIN is converted into a secret key using the SHA algorithm. The face image that is saved in the Amazon web service (AWS) acts as an authentication mechanism which enables people to cast their vote secretly. The voters, who cast numerous votes amid the way toward voting is guaranteed to be counteracted by encrypted UIN.  The election organizers can see the election parallelly as the voting is saved in the real-time database. The privacy of the voter is maintained as the details are converted into the key. In this system, an individual can vote from outside of his/her allocated constituency.  


Author(s):  
Maria Tanzariello ◽  
Sabina Bucci ◽  
Walter Ricciardi ◽  
Antonio Giulio de Belvis

Patient engagement is based on the assumption that making patients co-producers of their health might enhance their satisfaction and responsibility with the healthcare system and it strictly linked with the health provider choice. Making patients active participants in their healthcare is considered a crucial component of high-quality healthcare services. Quality of care is a central concern for health systems: accountability, transparency, and public reporting are some key factors in promoting healthcare improvement. In the healthcare field, public reporting is one of the major tools in supporting patients' decisions making process, by providing structure, process and outcome measures. We performed a web-based analysis of the major initiatives of public reporting in order to highlight their main characteristics: properties (public or private), data source (health providers, ad hoc surveys, etc.), general information reported (i.e. size, language spoken, amenities), doctors' information, patients' ratings (satisfaction /experience), clinical indicators.


2016 ◽  
pp. 264-287
Author(s):  
Maria Tanzariello ◽  
Sabina Bucci ◽  
Walter Ricciardi ◽  
Antonio Giulio de Belvis

Patient engagement is based on the assumption that making patients co-producers of their health might enhance their satisfaction and responsibility with the healthcare system and it strictly linked with the health provider choice. Making patients active participants in their healthcare is considered a crucial component of high-quality healthcare services. Quality of care is a central concern for health systems: accountability, transparency, and public reporting are some key factors in promoting healthcare improvement. In the healthcare field, public reporting is one of the major tools in supporting patients' decisions making process, by providing structure, process and outcome measures. We performed a web-based analysis of the major initiatives of public reporting in order to highlight their main characteristics: properties (public or private), data source (health providers, ad hoc surveys, etc.), general information reported (i.e. size, language spoken, amenities), doctors' information, patients' ratings (satisfaction /experience), clinical indicators.


Author(s):  
Vicente González-Prida Díaz ◽  
Jesus Pedro Zamora Bonilla ◽  
Pablo Viveros Gunckel

This chapter aims to consider the effects of the new concept Industry 4.0 on decision making, particularly on the reduction of uncertainty and the risk associated with any choice between alternatives. For this purpose, this chapter begins by dealing with the concepts of risk and uncertainty and their epistemological evolution. After observing certain trends and recent studies in this regard, the authors address a more philosophical perception of risk, mainly on aspects related to engineering and social perception. The concept of human reliability will also be reviewed and how it can be improved with the application of emerging technologies, considering some methodological proposals to improve the decision making. After that, some of the possible future research directions will be briefly discussed. Finally, the chapter concludes by highlighting key aspects of the chapter as a context for other chapters in the book.


2009 ◽  
pp. 1334-1349
Author(s):  
Elizabeth Avery Gomez ◽  
Dezhi Wu ◽  
Katia Passerini ◽  
Michael Bieber

Team-based learning is an active learning instructional strategy used in the traditional face-to-face classroom. Web-based computer-mediated communication (CMC) tools complement the face-toface classroom and enable active learning between face-to-face class times. This article presents the results from pilot assessments of computer-supported team-based learning. The authors utilized pedagogical approaches grounded in collaborative learning techniques, such as team-based learning, and extended these techniques to a Web-based environment through the use of computer-mediated communications tools (discussion Web-boards). This approach was examined through field studies in the course of two semesters at a US public technological university. The findings indicate that the perceptions of team learning experience such as perceived motivation, enjoyment, and learning in such a Web-based CMC environment are higher than in traditional face-to-face courses. In addition, our results show that perceived team members’ contributions impact individual learning experiences. Overall, Web-based CMC tools are found to effectively facilitate team interactions and achieve higher-level learning.


2019 ◽  
pp. 145-180
Author(s):  
Vittorio Gallese ◽  
Michele Guerra

This chapter discusses close-ups of the face and body in relation to film and neuroscience. The subheadings are “Touching in the mirror,” which introduces and discusses the opening scenes of Ingmar Bergman’s Persona; “The somatosensory system and multimodality,” which addresses the notion of multimodality, and explains how the brain processes touch and pain; “The social perception of touch,” provides an overview of how the brain processes the vision of touch; “Feeling the film,” in which scenes from Jean Luc Godard’s Une Femme Mariée are analyzed and a suggestion provided for approaching the notion of “haptic vision,” discussed by film theorists, from a neuroscientific perspective; and “Animations,” in which the authors propose that their model of embodied simulation can be used to explain the sense of presence generated by animation films, analyzing Jan Švankmajer’s films and Pixar’s Toy Story.


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