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A vehicle automation makes it possible to hand over the control task from the driver to an automation, which is in turn monitored by the driver. In this study, it was investigated how long it takes for drivers to detect an automation malfunction and if the detection time can be predicted by performance in a self-developed vigilance task and by individual boredom proneness. 23 participants drove with...
Our work explores the possibility of using robots to aid humans in emergency evacuation situations [1, 2] Contrary to popular belief, the greatest risk to people during an emergency is not panic. Rather, it is the tendency to disregard automatic alarms and wait for further instructions [3]. Robots offer the possibility of providing individualized directions during an emergency. We believe that tailored...
Cooperative driving, as observed during lane-change scenarios, reminds one of the saying “a Roland for an Oliver”, also known as quid pro quo: being offered a gap for moving in needs someone offering it in the left lane. This article investigates the subjectively perceived differences of cooperative behavior from the perspective of driving in the left and in the right lane. We design and use a questionnaire...
Reliable subsea communication is the principal technical challenge that limits the ability of underwater vehicles to collaboratively perform tasks. The subsea communication channel is extremely low bandwidth and suffers from latencies and frequent dropouts. We present fundamental advances in network theory and corresponding distributed estimation and control algorithms that enable autonomous underwater...
This research investigated the use of Mary, an open source speech synthesizer, to convey the emotional intent of a robot through the robot's vocal prosody. The robot's pitch, pitch range, speech rate, and volume were varied to convey anger, fear, happiness, and sadness. The results indicate participants recognized the intended emotions at a rate statistically higher than chance whether they provided...
Human organizations that have begun to rely on networks for collaboration are already prolific. Networked collaboration is highly beneficial in many group activity including mixed teams of humans and agents. The prospect of understanding complex interactions on network organizations has prompted us to develop a paradigm serving as a reference model for organizations of networked individuals. In this...
In this paper we describe the Discovery Agent of Vijjana, an umbrella project for creating a person-specific knowledge repository based on classification and analysis. Vijjana provides a framework designed for building collaborative knowledge networks that are domain specific and well bounded in search categories. Using the Vijjana model, we can envision creating an intelligent agent that presents...
People are connecting and sharing large amounts of personal information through social media sites, cloud and health services, and other online applications. Users often manage their interactions and information disclosures on these sites using a variety of privacy settings. The use of privacy settings on social networking sites (SNS) such as Facebook has been extensively studied. Researchers have...
This paper focuses on the computational infrastructure for fast-feedback opinion mining. This calls for a versatile platform to handle all the possible problems arisen from mining data streams of a social networking site. In particular, we consider the difficulty of getting customer feedbacks faced by companies that produce free software. This is especially challenging since, when encountering buggy...
Although there are many explicit collaboration mechanisms in which human teams commit to a joint project, a high level of implicit coordination can be achieved in human societies through the propagation of social norms. A norm can be defined as a “a behavioral rule that is considered valid by the majority of the population” [1]. Norms play a significant role in determining the behavior of people in...
Now a days, the viral marketing has been extensively increased on online social networks, thus increasing the research work on the influence maximization algorithms in social networks. Motivated by this viral marketing strategies, many of the researches proposed few fundamental algorithms to find the subset of individuals to promote a product where the goal is to trigger maximum number of individuals...
The use of existent LMSs presents many difficulties related to the design and operationalization of learning scenarios. Teachers have to encompass the LMS technical features and services in order to understand the underlying way of designing. Generic instructional design editors fail in bridging the gap between how they design a learning scenario and how the learning session can be set up within the...
Collaborative Virtual Environments (CVEs) aim at providing several users with a consistent shared virtual world. In this work, we focus on the lack of mutual awareness that may appear in many situations and we evaluate different ways to present the distant user and his actions in the Virtual Environment (VE) in order to understand his perception and cognitive process. Indeed, an efficient collaboration...
There are many actual groups that rely on networks to organize their activities. Arab Spring and Science Teams are two examples. One of our original motivations in this work was to build models that explain and understand how these groups form and operate. We have recognized that there are many environments that do not yet take full advantage of network features (e.g., electric and water supply coops)...
The use of a collaborative virtual reality environment for training and virtual tours has been increasingly recognized an as alternative to traditional reallife tours for university campuses. Our proposed application shows an immersive collaborative virtual reality environment for performing virtual online campus tours and evacuation drills using Oculus Rift head mounted displays. The immersive collaborative...
In this talk will not provide solutions to problems or cover every aspect of a problem, but will address how SYNERGIES of COLLABORATIVE TECHNOLOGIES may offer partial solutions to a few of these major problems in HEALTHCARE and BIOMEDICINE. In particular, an introduction to Healthcare-Biomedicine Challenges will be given and a small number of Synergies of Technologies will be discussed to make the...
Many threats and attacks have been found in online social networks. When a security incident happens and data loss occurs, it is important to assess how the lost data affects user privacy. Most approaches for privacy impact assessment are based on checklists and auditions. There is lack of quantitative analysis approach to study privacy impact. Privacy impact assessment is a very challenging issue...
Online social networks (OSNs) provide services for people to connect and share information. Social networking sites contain huge amount of personal information such as user profiles, user relations, and user activities. Most of the information is personal and sensitive in nature and hence disclosure of this information may cause harassment, financial loss, and even identity theft. Thus, protecting...
In recent years, researchers have employed various approaches and techniques to identify community structures in social networks. In this paper, we propose a cultural algorithm to cope with this problem by optimizing the search space. The core of this approach is belief space which is a knowledge repository. We introduce two different scenarios to shape this space and compare our approach with 4 well-known...
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