Smartphone VPN App Usage and User Awareness Among Facebook Users

2018 ◽  
Author(s):  
Asela Jayatilleke ◽  
Parakum Pathirana
Keyword(s):  
User Awareness

scholarly journals Models of Privacy and Disclosure on Social Networking Sites: A Systematic Literature Review

Mathematics ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 146
Author(s):  
Lili Nemec Zlatolas ◽  
Luka Hrgarek ◽  
Tatjana Welzer ◽  
Marko Hölbl
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Social Networking ◽  
Systematic Literature Review ◽  
Social Networking Sites ◽  
Statistical Models ◽  
Structural Equations ◽  
Self Disclosure ◽  
User Awareness ◽  
Structural Equations Models

Social networking sites (SNSs) are used widely, raising new issues in terms of privacy and disclosure. Although users are often concerned about their privacy, they often publish information on social networking sites willingly. Due to the growing number of users of social networking sites, substantial research has been conducted in recent years. In this paper, we conducted a systematic review of papers that included structural equations models (SEM), or other statistical models with privacy and disclosure constructs. A total of 98 such papers were found and included in the analysis. In this paper, we evaluated the presentation of results of the models containing privacy and disclosure constructs. We carried out an analysis of which background theories are used in such studies and have also found that the studies have not been carried out worldwide. Extending the research to other countries could help with better user awareness of the privacy and self-disclosure of users on SNSs.

scholarly journals User Awareness System to Diagnose Dermatological Diseases

2020 ◽  
Vol 175 (36) ◽  
pp. 30-35
Author(s):  
Vithushiyan Pathivarathan ◽  
Naveenan Thavabalasingham ◽  
Kasvithan Philipreman ◽  
Sinmayan Gunasekaran ◽  
Sanjeevi Chandrasiri ◽  
...  
Keyword(s):  
Dermatological Diseases ◽  
User Awareness ◽  
Awareness System

scholarly journals Human-Robot Interaction with Robust Prediction of Movement Intention Surpasses Manual Control

2020 ◽  
Author(s):  
Sebastijan Veselic ◽  
Claudio Zito ◽  
Dario Farina
Keyword(s):  
Degrees Of Freedom ◽  
Linear Time ◽  
Open Loop ◽  
Human Robot Interaction ◽  
Manual Control ◽  
Reach To Grasp ◽  
Robot Interaction ◽  
Loop Control ◽  
User Awareness ◽  
Improving Accuracy

Designing robotic assistance devices for manipulation tasks is challenging. This work aims at improving accuracy and usability of physical human-robot interaction (pHRI) where a user interacts with a physical robotic device (e.g., a human operated manipulator or exoskeleton) by transmitting signals which need to be interpreted by the machine. Typically these signals are used as an open-loop control, but this approach has several limitations such as low take-up and high cognitive burden for the user. In contrast, a control framework is proposed that can respond robustly and efficiently to intentions of a user by reacting proactively to their commands. The key insight is to include context- and user-awareness in the controller, improving decision making on how to assist the user. Context-awareness is achieved by creating a set of candidate grasp targets and reach-to grasp trajectories in a cluttered scene. User-awareness is implemented as a linear time-variant feedback controller (TV-LQR) over the generated trajectories to facilitate the motion towards the most likely intention of a user. The system also dynamically recovers from incorrect predictions. Experimental results in a virtual environment of two degrees of freedom control show the capability of this approach to outperform manual control. By robustly predicting the user’s intention, the proposed controller allows the subject to achieve superhuman performance in terms of accuracy and thereby usability.

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