6 resultados para Non verbal Intelligence
em Dalarna University College Electronic Archive
Resumo:
Syftet med studien var att belysa faktorer som påverkar äldre, över 65 år, patienters upplevelse av beröring, dess effekter samt belysa sjuksköterskans upplevelse av att ge beröring. Metoden är en systematisk litteraturstudie, baserad på 15 vetenskapliga artiklar sökta via databaserna Cinahl, Cochrane och sökmotorn Elin@dalarna.Resultatet visade att genus, livserfarenhet, yrkeskompetens hos sjuksköterskan, relationer samt vilken del av kroppen som berördes var faktorer som styrde patientens upplevelse av beröring från sjuksköterskan.Sjuksköterskors upplevelse av att ge beröring visades genom en helhetssyn av patienten, ge bekräftelse, vårda med respekt samt kunna beröra på ett naturligt sätt. Beröring visades ha goda effekter både hos den äldre patienten och sjuksköterskan genom att relationsbanden mellan dem styrktes, minskade sömnproblemen samt lindrade smärta, stress och oro hos den äldre patienten.
Resumo:
Syftet med detta examensarbete är att få insikt i hur lärarens ickeverbala kommunikation och actio påverkar elevers motivation. Utifrån en etnografisk arbetsmetod observerades en svensklärare på en gymnasieskola under fyra lektionstimmar för att undersöka hur läraren kommunicerade med sina elever ickeverbalt. Parallellt med observationerna intervjuades både läraren och eleverna som deltog i undersökningen. Undersökningen visade att lärares ickeverbala kommunikation och actio har en stor påverkan på elevernas motivation, att denna påverkan sker omedelbart och att den kan förändras under en pågående lektion. När en lärare medvetandegör hur hon eller han kommunicerar med sina elever ickeverbalt kan aspekter som oavsiktlig och intuitiv kommunikation få en mindre påverkan på undervisningen. Detta bidrar i sin tur till att utveckla lärarens ickeverbala kompetens och på så sätt sin förmåga att motivera sina elever under hela lektionen.
Resumo:
The overall purpose of this study is to gain knowledge about dialogues in the setting of the preschool. The more in-depth purpose is to highlight what happens in dialogues between a teacher and a child when more children join the situation of interaction in which the dialogue is taking place. A further purpose is to attempt to understand what it is that influences change in the dialogue and what significance the actions of the teacher can have for this change. The study is based on several questions that concern interaction in preschools, who it is that initiates an increase in the number of participants in those situations that involve dialogue, and what happens with the dialogue when more children join and what causes the change in the dialogue. The study is based on video observations from a preschool; approximately 10 teachers and 50 children between the ages of one and six took part in the study. The situations that were observed and documented in video format were everyday activities (both indoor and outdoor) that were led at a nominal level by teachers. In total, 40 films were recorded. Film length was between one and 60 minutes. In 32 of the films, there was interaction between a teacher and several children, and 18 of these included dialogues between a teacher and several children. Dialogue is here given a specific significance and refers to the interaction that can be described in terms of presence, listening, reciprocity, and extending. This definition of dialogue derives from a combination of Martin Buber’s philosophy of dialogue and aspects of interaction that earlier research found to be significant for children’s learning. In two of the 18 films that showed dialogue, no other children became part of the situation of interaction; the remaining 16 films were transcribed; and both verbal and non-verbal events were made apparent in the transcriptions. Analyses of the recorded material and of the transcriptions were conducted using analytical terms borrowed from conversation analysis as well as the central term for this study dialogue. The results demonstrate a complex practice and also demonstrate that dialogues in the sense given in this study take place between children and teachers. Situations of interaction also occur where dialogues take place in which a number of children join. It can be the child joining the situation of interaction who takes the initiative to an increased number of participants; however, it can also be the teacher or the child in the dialogue. The initial address can take place during a moment of transition in the interaction or at the same time as another participant is talking. The dialogue often changes when more children join the situation where the dialogue is taking place. The dialogue can end completely or be interrupted and resume. The results further demonstrate that the dialogue can continue without seemingly being affected by the fact that more children join. This happens when the child joining and the teacher in the dialogue interact in a non-verbal manner at the same time as the teacher is talking with the child in the dialogue. The dialogue can also be continued with more participants. Who takes the initiative, how the initial address occurs, and which content is given focus by the different participants are all factors that seem to affect what happens to the dialogue. How the teacher acts when more children join also appears to be significant in terms of what happens with the dialogue when more children join. In those situations where the teacher begins talking with a number of children about different subjects, the interaction ceases to be dialogic. When the teacher asks the joining child to wait, the dialogue is both interrupted and resumed, and on those occasions when the dialogue continues with more participants, the teacher listens to the joining child and the participants take turns speaking.
Resumo:
The number of persons with dementia (PWD) is increasing rapidly worldwide. Cognitive impairments and communication difficulties are common among PWD. Therefore, gaining mutual togetherness in caring relation between PWD and their caregivers is important. This study was to investigate the effects of music therapeutic care (MTC) during morning care situations on improving verbal and nonverbal communication behaviors in people with dementia. An observation study with 10 PWD participating. Videotaped interactions (VIO) between PWD and their caregivers were conducted during eight weekly sessions, four recordings consisted of usual morning care and four recordings were of morning care with MTC intervention. The Verbal and Nonverbal Interaction Scale was used to analyze the recorded interactions at a later time. The unsociable verbal variable Cursing decreased significantly (P=.037) during MTC when compared with the baseline measurement. A significant (P=.000) reduction was observed for the unsociable nonverbal variable Does not respond to question. MTC significantly (P=.01) increased the mean score for the sociable nonverbal variable – Calm – relaxed. For sociable verbal communication, significant differences were observed for the variables Use coherent communication (P=.012), Use relevant communication (P=.009), Responds to questions (P=.000), Humming (P=.004), Singing (P=.000). MTC during morning care situations can be an effective non-pharmacological treatment, as well as nursing intervention in order to improve sociable communication behaviors, as well as reduce unsociable communication behaviors of PWDs
Resumo:
This project is based on Artificial Intelligence (A.I) and Digital Image processing (I.P) for automatic condition monitoring of sleepers in the railway track. Rail inspection is a very important task in railway maintenance for traffic safety issues and in preventing dangerous situations. Monitoring railway track infrastructure is an important aspect in which the periodical inspection of rail rolling plane is required.Up to the present days the inspection of the railroad is operated manually by trained personnel. A human operator walks along the railway track searching for sleeper anomalies. This monitoring way is not more acceptable for its slowness and subjectivity. Hence, it is desired to automate such intuitive human skills for the development of more robust and reliable testing methods. Images of wooden sleepers have been used as data for my project. The aim of this project is to present a vision based technique for inspecting railway sleepers (wooden planks under the railway track) by automatic interpretation of Non Destructive Test (NDT) data using A.I. techniques in determining the results of inspection.
Resumo:
Since the last decade the problem of surface inspection has been receiving great attention from the scientific community, the quality control and the maintenance of products are key points in several industrial applications.The railway associations spent much money to check the railway infrastructure. The railway infrastructure is a particular field in which the periodical surface inspection can help the operator to prevent critical situations. The maintenance and monitoring of this infrastructure is an important aspect for railway association.That is why the surface inspection of railway also makes importance to the railroad authority to investigate track components, identify problems and finding out the way that how to solve these problems. In railway industry, usually the problems find in railway sleepers, overhead, fastener, rail head, switching and crossing and in ballast section as well. In this thesis work, I have reviewed some research papers based on AI techniques together with NDT techniques which are able to collect data from the test object without making any damage. The research works which I have reviewed and demonstrated that by adopting the AI based system, it is almost possible to solve all the problems and this system is very much reliable and efficient for diagnose problems of this transportation domain. I have reviewed solutions provided by different companies based on AI techniques, their products and reviewed some white papers provided by some of those companies. AI based techniques likemachine vision, stereo vision, laser based techniques and neural network are used in most cases to solve the problems which are performed by the railway engineers.The problems in railway handled by the AI based techniques performed by NDT approach which is a very broad, interdisciplinary field that plays a critical role in assuring that structural components and systems perform their function in a reliable and cost effective fashion. The NDT approach ensures the uniformity, quality and serviceability of materials without causing any damage of that materials is being tested. This testing methods use some way to test product like, Visual and Optical testing, Radiography, Magnetic particle testing, Ultrasonic testing, Penetrate testing, electro mechanic testing and acoustic emission testing etc. The inspection procedure has done periodically because of better maintenance. This inspection procedure done by the railway engineers manually with the aid of AI based techniques.The main idea of thesis work is to demonstrate how the problems can be reduced of thistransportation area based on the works done by different researchers and companies. And I have also provided some ideas and comments according to those works and trying to provide some proposal to use better inspection method where it is needed.The scope of this thesis work is automatic interpretation of data from NDT, with the goal of detecting flaws accurately and efficiently. AI techniques such as neural networks, machine vision, knowledge-based systems and fuzzy logic were applied to a wide spectrum of problems in this area. Another scope is to provide an insight into possible research methods concerning railway sleeper, fastener, ballast and overhead inspection by automatic interpretation of data.In this thesis work, I have discussed about problems which are arise in railway sleepers,fastener, and overhead and ballasted track. For this reason I have reviewed some research papers related with these areas and demonstrated how their systems works and the results of those systems. After all the demonstrations were taking place of the advantages of using AI techniques in contrast with those manual systems exist previously.This work aims to summarize the findings of a large number of research papers deploying artificial intelligence (AI) techniques for the automatic interpretation of data from nondestructive testing (NDT). Problems in rail transport domain are mainly discussed in this work. The overall work of this paper goes to the inspection of railway sleepers, fastener, ballast and overhead.