Current Issue : July - September Volume : 2016 Issue Number : 3 Articles : 4 Articles
Visual elements in user interfaces elicit emotions in users and are, therefore, essential to users interacting with different software.\nAlthough there is research on the relationship between emotional experience and visual user interface design, the focus has been\non the overall visual impression and not on visual elements. Additionally, often in a software development process, programming\nand general usability guidelines are considered as the most important parts of the process. Therefore, knowledge of programmers�\nappraisals of visual elements can be utilized to understand the web page designs we interact with. In this study, appraisal theory\nof emotion is utilized to elaborate the relationship of emotional experience and visual elements from programmers� perspective.\nParticipants (...
Immersive virtual environments (VEs) have the potential to provide novel cost effective ways for evaluating not only new\nenvironments and usability scenarios, but also potential user experiences. To achieve this, VEs must be adequately realistic.The level\nof perceived authenticity can be ascertained by measuring the levels of immersion people experience in their VE interactions. In this\npaper the degree of authenticity is measured via an authenticity index in relation to three different immersive virtual environment\ndevices. These devices include (1) a headband, (2) 3D glasses, and (3) a head-mounted display (HMD). A quick scale for measuring\nimmersion, feeling of control, and simulator sickness was developed and tested. The HMD proved to be the most immersive device,\nalthough the headband was demonstrated as being a more stable environment causing the least simulator sickness. The results have\ndesign implication as they provide insight into specific factors which make experience in a VE seem more authentic to users. The\npaper emphasizes that, in addition to the quality of the VE, focus needs to be placed on ergonomic factors such as the weight of the\ndevices, as the se may compromise the quality of results obtained when examining studying human-technology interaction in a VE....
The present study investigated facial expressions as reactions to positive and negative feedback\nduring a human-computer interaction. Thirty subjects interacted in natural language with a computer\nsystem while conducting a mental task, which was designed in the style of a Wizard of Oz\nscenario. During six different experimental sequences from a well-known memory paradigm\n(ââ?¬Å?Concentrationââ?¬Â), the wizard produced different feedback as a manipulative tactic to alter the usersââ?¬â?¢\nreactions, e.g., praising the subject was assumed to exert a positive influence on the subjectsââ?¬â?¢\nmoods. To analyze the impact of various feedback on the emotional reaction, facial expressions\nfrom all subjects were coded with the Facial Expression Coding System (FACES). In general, the\noutcomes yielded more negative facial expressions in response to positive feedback as compared\nwith negative feedback. Furthermore, a gender difference was evident: women showed significantly\nmore negative facial expressions in response to praise (ââ?¬Å?Your performance is improvingââ?¬Â)\nthan men. The study and results show that when considering future companion technologies, it is\nimportant to carefully investigate usersââ?¬â?¢ reactions to feedback, since paradoxical reactions may\nensue....
This paper presents a method for hand gesture recognition based on 3D point cloud. Digital image\nprocessing technology is used in this research. Based on the 3D point from depth camera, the system\nfirstly extracts some raw data of the hand. After the data segmentation and preprocessing,\nthree kinds of appearance features are extracted, including the number of stretched fingers, the\nangles between fingers and the gesture region�s area distribution feature. Based on these features,\nthe system implements the identification of the gestures by using decision tree method. The results\nof experiment demonstrate that the proposed method is pretty efficient to recognize common\ngestures with a high accuracy....
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