After the beginning of Web2.0 era, newly developed interaction design patterns based on Ajax(Asynchronous JavaScript and XML) have been tried in various Web2.0 services. These new interaction design patterns enable web service to provide rich experience for users. However, it is very hard to find organized task based guideline about Web2.0 interaction design even though there are a lot of complicated interaction design techniques and patterns. It is essential to have Web2.0 interaction guide based on Ajax because it can guide designers to use appropriate interaction design patterns and to keep usability for ordinary users. Therefore, this research aims to establish task based interaction design guideline for Web2.0 service based on Ajax. The reason why this research focused on Ajax is that Ajax is most widely used language for Web2.0 service. First, primary five interaction design patterns were defined through analysis of various interaction design patterns from Web2.0 services. Second, detail interaction design tasks from five major patterns were analyzed based on the study of major Web2.0 services such as Gmail, Twitter, YouTube and Google maps. Third, general design guidelines such as heuristic guidelines for web service are studied through literature review. After all, this study proposed task based interaction design guide for Web2.0 service with Ajax. With this guide, designers and developers can choose appropriate Web2.0 interaction patterns and apply to their service and provide service to users with enhanced usability and satisfaction.
In our time the parent's role is changing from sexually differentiated to androgynous pattern. Mother's interction with infant includes caring and father's interaction especially have play. Father and mother share the caring and play because they have complementary nature. Infants have a tendency to show more positive responses to their fathers than mothers in play situations. For that reason we can help the promotion of father's interaction with his infant through ascertaining patterns of father-infant play interaction. This study was to find out patterns of father-infant play interaction in order to improve the Interaction between father and infant. Data was video-taped from 6 fathers and infants who were healthy and first-timed and 7-11 weeks old in their houses. I used Father-Infant Play Interaction Scale that was applied to father instead of mother as a care-giver. The scale was checked up by experts in this field for content validity and the reliability was 0.95 in this study. The results were as follows : 1. Father's play behaviors were the patterns of responses about infant's cue. The mean score was 33.16(SD, 9.11), This means they come up to the standard level of responses about infant's cue. 2. Infant's play behaviors were the patterns of responses about father's cue. The mean score was 7.00(SD,3.10). This means they get the higher level of responses about father's cue. 3. The patterns of simultaneous responses occured together between father and infant. The mean score was 9.58 (SD, 3.96). This means they reach the standard level of simultaneous responses between father and infant. 4. The patterns of interactional behaviors occured interpersonally between father and infant. The mean score was 49.75(SD, 15.80). This means they interact on the standard level of play interaction. In view of the results father's play interaction seems to reveal an average level and play patterns are similar to mother's. In order to ascertain definitely patterns of father-infant play interaction we need further research which has more subjects and variables to have important effects.
This qualitative study investigated different interaction patterns in an online discussion. The data was collected from asynchronous discussion occurred in a graduate course. The data analysis methods include inductive analysis and mapping strategy. The results of the study suggest three layers of interaction: response sequences, interaction amongst participants, and concept map of messages. The visualization of response sequences enabled the researcher to discover complex and dynamic interaction patterns amongst participants. The many-to-many communication feature of online discussion does not always enable direct one-on-one interaction between two participants. Rather, one message contributed to multiple threads in the stream of conversation. In terms of interaction amongst participants, the interaction amongst participants, as indicated in the data, the messages also bind each participant and consequently a group(s) of participants together. It appears that the contribution of one message may not only enable a response to one participant, but also connect many participants to each other. The concept map of messages proposes that response sequences and interaction amongst participants can also be viewed between concepts within messages in the discussion. On the surface, the messages posted by individuals are linked by the system in a linear fashion as they are posted. However, the interaction extends to collaborative conversation amongst participants. Ultimately, a conceptual network of interrelated ideas including multiple perspectives is built in asynchronous discussion.
Objective: The goal of this thesis is to design the interaction structure and framework of system to recognize sign language. Background: The sign language of meaningful individual gestures is combined to construct a sentence, so it is difficult to interpret and recognize the meaning of hand gesture for system, because of the sequence of continuous gestures. This being so, in order to interpret the meaning of individual gesture correctly, the interaction structure and framework are needed so that they can segment the indication of individual gesture. Method: We analyze 700 sign language words to structuralize the sign language gesture interaction. First of all, we analyze the transformational patterns of the hand gesture. Second, we analyze the movement of the transformational patterns of the hand gesture. Third, we analyze the type of other gestures except hands. Based on this, we design a framework for sign language interaction. Results: We elicited 8 patterns of hand gesture on the basis of the fact on whether the gesture has a change from starting point to ending point. And then, we analyzed the hand movement based on 3 elements: patterns of movement, direction, and whether hand movement is repeating or not. Moreover, we defined 11 movements of other gestures except hands and classified 8 types of interaction. The framework for sign language interaction, which was designed based on this mentioned above, applies to more than 700 individual gestures of the sign language, and can be classified as an individual gesture in spite of situation which has continuous gestures. Conclusion: This study has structuralized in 3 aspects defined to analyze the transformational patterns of the starting point and the ending point of hand shape, hand movement, and other gestures except hands for sign language interaction. Based on this, we designed the framework that can recognize the individual gestures and interpret the meaning more accurately, when meaningful individual gesture is input sequence of continuous gestures. Application: When we develop the system of sign language recognition, we can apply interaction framework to it. Structuralized gesture can be used for using database of sign language, inventing an automatic recognition system, and studying on the action gestures in other areas.
Purpose: The purpose of this study was to identify effective nurse interaction patterns with patients in the emergency department. Methods: For this study, video technology was used to record complete conversations between the nurse and patient. The participants were 28 nurses and 63 patients in the emergency department at one university hospital located in Seoul. The data were collected from November, 2002 to April, 2003. The video recordings were observed for 4 hr for each case and coded using an adapted version of Roter's Interaction Analysis System (RIAS). The data were analyzed using cluster analysis to identify the patterns of nurse-patient interaction. Results: Cluster analysis revealed 4 distinct nurse interaction patterns; 1) "closed" characterized by orientation and negative talk, 2) "positive" characterized by positive affective talk, 3) "informative and directing" characterized by task-focused behavior including data gathering, and giving information about medical condition and treatment, 4) "facilitative" characterized by balance of psychosocial and biomedical topics. Patient satisfaction was highest in the facilitative interaction pattern. Conclusion: The patient centered interaction pattern, balancing information exchange and psychosocial exchange are the most effective interactions in the emergency department, suggesting that effective interaction skill is a core clinical nursing intervention in acute care.
Systematically extracting the test patterns of hot spots in an object-oriented software framework is a prerequisite for thoroughly testing the framework's functionality in a variety of contexts in which the framework is extended for reuse. This paper proposes a method for analyzing the design patterns and extracting the test patterns from the interaction test patterns of hot spots in an object-oriented framework. Based on the design pattern of the framework's hot spot, our method captures the object behavior allowed in that hot spot by means of statecharts, which are then used to generate the interaction test patterns and test cases. The generated test patterns and test cases can be applied repeatedly to applications which are built from extending the framework.
This study aims to explore the relationship between the spontaneous interactions of office workers and their workspace layout. The spontaneous interactions are captured by the measures regarding the 'visual interaction' between workers in their desk layouts. The measures of visual interaction then are examined by means of the office layout or desk arrangement and the properties of work patterns according to the departments, such as general affairs, sales, research and development, and planning. The study finds four types of office layout ; Type 1 with low visual interaction between workers and high intensity of visual interaction, Type 2 with high visual interaction between workers and high intensity of visual interaction, Type 3 with low visual interaction between workers and low intensity of visual interaction, and Type 4 with high visual interaction between workers and high intensity of visual interaction. The study shows that the patterns of unintentional interaction between workers varies according to the property of work and office arrangement and it also argues that the patterns of office layout are different according to properties of work.
The Journal of Korean Academic Society of Nursing Education
/
v.20
no.4
/
pp.577-586
/
2014
Purpose: This study investigates patterns of small group interaction and examines the influence among graduate nursing students of online collaborative learning strategies on small group interaction patterns, task performance and learning attitude in web-based team learning environments. Method: To analyze patterns of small group interaction, group discussion dialogues were reviewed by two instructors. Groups were divided into two categories depending on the type of feedback given (passive or active). For task performance, evaluation of learning processes and numbers of postings were examined. Learning attitude toward group study and coursework were measured via scales. Results: Explorative interactions were still low among graduate nursing students. Among the students given active feedback, considerable individual variability in interaction frequency was revealed and some students did not show any specific type of interaction pattern. Whether given active or passive feedback, groups exhibited no significant differences in terms of task performance and learning attitude. Also, frequent group interaction was significantly related to greater task performance. Conclusion: Active feedback strategies should be modified to improve task performance and learning attitude among graduate nursing students.
The purpose of this study was to identify the interaction patterns in distance only mode e-Learning. In order to investigate this study, messages shown in the electronic notice board were analyzed to see how interaction occurs between teacher and learner or learner and learner under the e-learning of cyber university. To analyze messages was applied according to the framework by Henri's contents analysis model. As a result of contents analysis on electronic board, the participative dimension was 399 messages. A learner put on 7~8 messages a day. The number of messages was low compared to the number of learners, but the number of inquiries was about 140. That means that each learner contacts and checks messages at least once a day. The meaning dimension was 600 units. The main interaction patterns were Interactive-social-cognitive-metacognitive. This means that e-Learning in distance only mode leads a positive attitude of learners as a self-directed learning, and needs teacher's well-structured instructional strategies for increasing interaction. In conclusion, social dimension and interactive dimension of messages support learners psychologically in the process of learning though they directly guide learning under the circumstances of e-learning lacking face-to-face element. It can be interpreted that the teacher's role is significantly important in order to attract learners' positive participation and cognitive and meta-cognitive dimension of messages and activities
The purpose of this study was to analyze the patterns and features of interaction in teacher interviewing with high school students' small group for biology learning. The interactions in variety between the students and between the students and the teacher were made as the interviews with each small group were repeated to feedback for biology learning. The patterns of interaction were categorized into four types by interactive level of interaction among group members and a teacher: leader representation without interaction among students and the teacher(LR, leader representation), interaction among a part of students and the teacher(PSI, partial students interaction), active interaction among students inside the group, but only interaction between the teacher and the leader student(SAI, students active interaction), and interaction between all of the students and the teacher(teacher-students active interaction). Even though complex patterns of interactions were made among the students at the initial stage of insufficient understanding on the study concept, the simple interaction processes were shown as students had gradually completed the understanding on the concept. It was displayed that the interaction in the small group for biology study provides the opportunity to confirm and understand the concept to the students who were poor at the understanding on the concept, and it can influence positively on the mutual creation of study concept.
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