Current Issue : April - June Volume : 2018 Issue Number : 2 Articles : 5 Articles
Life-like characters are playing vital role in social computing by making human-computer interaction more easy and spontaneous.\nNowadays, use of these characters to interact in online virtual environment has gained immense popularity. In this paper, we\nproposed a framework for a text-based chat system embodied with a life-like virtual agent that aims at natural communication\nbetween the users. To achieve this kind of system, we developed an agent that performs some nonverbal communications such\nas generating facial expression and motions by analyzing the text messages of the users. More specifically, this agent is capable of\ngenerating facial expressions for six basic emotions such as happy, sad, fear, angry, surprise, and disgust along with two additional\nemotions, irony and determined. Then to make the interaction between the users more realistic and lively, we added motions such\nas eye blink and head movements. We measured our proposed system from different aspects and found the results satisfactory,\nwhich make us believe that this kind of system can play a significant role in making an interaction episode more natural, effective,\nand interesting. Experimental evaluation reveals that the proposed agent can display emotive expressions correctly 93% of the time\nby analyzing the users� text input....
This study investigates whether people perceive social drones differently depending on pilot type and perceived safety. A ââ?¬Å?drone\ncampus tour guideââ?¬Â social drone service was examined to explore these values. This study involves a between-subjects experiment\nusing two drone control types (human-driven and algorithm-driven) and two levels of perceived safety (low and high). The results\ndemonstrate that the drone pilot type changes the service experience when the drone is flying in an unsafe manner. In the group\nwhere the drones were flown in an unsafe manner, participants exhibited higher levels of satisfaction with the algorithm-driven\ndrone guide, while both types of drones received the same level of satisfaction when they were flown safely. The results have\nimplications for understanding how expectations influence service evaluations in relation to human connection....
Eye movement can be regarded as a pivotal real-time input medium for human-computer communication, which is especially\nimportant for people with physical disability. In order to improve the reliability, mobility, and usability of eye tracking technique\nin user-computer dialogue, a novel eye control system with integrating both mouse and keyboard functions is proposed in this\npaper. The proposed system focuses on providing a simple and convenient interactive mode by only using user�s eye. The usage\nflow of the proposed system is designed to perfectly follow human natural habits. Additionally, a magnifier module is proposed\nto allow the accurate operation. In the experiment, two interactive tasks with different difficulty (searching article and browsing\nmultimedia web) were done to compare the proposed eye control tool with an existing system. The Technology AcceptanceModel\n(TAM) measures are used to evaluate the perceived effectiveness of our system. It is demonstrated that the proposed system is very\neffective with regard to usability and interface design....
The objective of this study is to investigate the effect of the gap between two different mental models on interaction performance\nthrough a quantitative way. To achieve that, an index called mental model similarity and a new method called path diagram to\nelicit mental models were introduced.There are two kinds of similarity: directionless similarity calculated from card sorting and\ndirectional similarity calculated frompath diagram.An experiment was designed to test their influence.Atotal of 32 college students\nparticipated and their performance was recorded.Through mathematical analysis of the results, three findings were derived. Frist,\nthe more complex the information structures, the lower the directional similarity. Second, directional similarity (rather than\ndirectionless similarity) had significant influence on user performance, indicating that it ismore effective in eliciting mentalmodels\nusing path diagram than card sorting. Third, the relationship between information structures and user performance was partially\nmediated by directional similarity. Our findings provide practitioners with a new perspective of bridging the gap between users�\nand designers� mental models....
In this paper, we developed a fully textile sensing fabric for tactile touch sensing as the robot\nskin to detect human-robot interactions. The sensor covers a 20-by-20 cm2 area with 400 sensitive\npoints and samples at 50 Hz per point. We defined seven gestures which are inspired by the social\nand emotional interactions of typical people to people or pet scenarios. We conducted two groups of\nmutually blinded experiments, involving 29 participants in total. The data processing algorithm first\nreduces the spatial complexity to frame descriptors, and temporal features are calculated through\nbasic statistical representations and wavelet analysis. Various classifiers are evaluated and the feature\ncalculation algorithms are analyzed in details to determine each stage and segments� contribution.\nThe best performing feature-classifier combination can recognize the gestures with a 93.3% accuracy\nfrom a known group of participants, and 89.1% from strangers....
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