How To Persuade Non-Mobile Shoppers Into Mobile Shoppers: A Trust Enhancing Perspective

Mobile shopping is getting popular and pervasive. However, the number of mobile users is not parallel to the number of mobile shoppers, because consumers frequently concern about security while conducting mobile transactions. The current study aims to elaborate in what trust enhancing message designs can be used to persuade non-mobile shoppers into mobile shoppers. Drawing on social judgment theory and the model of persuasion, our study has the potential revealing that consumers’ negative attitudes toward ubiquitously using credit cards over the air can be improved by persuasive messages if they are added into the checkout page of a shopping website

A Hybrid Brain-computer Interface for Intelligent Prosthetics

Over the past few decades, many researcher have shown that human can use brain signals to communicate with computers or machines by using brain-computer interfaces (BCIs). BCI systems can measure the brain activity and translate them into control signals to external devices. A hybrid BCI system is to integrate two or more different BCI systems. By combining two different BCIs, the disadvantages can be eliminated and the advantages can stay. One of the BCI developed in this thesis is electroencephalographic (EEG). EEG is one of imaging techniques for spontaneous recording of the electrical activity from the brain. The EEG has been widely used in research for cognitive and brain-state studies in psychology, neuroprosthetics, transportation safety and clinical diagnosis . In this thesis a commercial EEG product, NeuroSky MindWave, is used to measure the EEG signal from forehead. From the acquired EEG signal, humans attention and meditation level can be obtain. A EEG control algorithm is developed in LabVIEW based on the attention level, meditation level and eye blinks to control an intelligent prosthetic. The other BCI used is eye-gaze tracking technology. Eye-gaze tracking technology is used to obtain the human's gaze direction. A eye-gaze tracking system is developed in this research. The system consists of a wearable self-build eye-gaze tracker with a scene camera, and the eye-gaze tracking algorithm developed in LabVIEW which can locate the eye pupil center and estimate the gaze direction. Combing two BCIs above, a hybrid BCI system is complete. Suppose a person want to use a prosthetic arm to grab one specific item, the eye-gaze tracker provides the information of which item is the person want exactly, and EEG BCI controls the prosthetic arm to grasp the item. The hybrid BCI system is robust enough and have a reliable accuracy from the experimental result

Chronic arsenic exposure and its adverse health effects in Taiwan: A paradigm for management of a global environmental problem

AbstractIt was estimated that, nearly 100 million people are at risk for drinking arsenic (As)-contaminated drinking water. Although the WHO guideline recommends that levels of As in drinking water should not exceed 10 μm/L, it was estimated that more than 30 million people drink As-containing water at levels more than 50 μm/L in Bangladesh and India alone. Therefore, the adverse health effects resulting from chronic As exposure pose a global threat. In Taiwan, studies focusing on the health effects resulting from chronic As exposure through contaminated drinking water have been ongoing for more than 50 years. During the past half century, it was recognized that the impact of high As exposure on human health is much more complicated than originally anticipated. Chronic As exposure resulted in infamous blackfoot disease, which is unique to As endemic areas in Taiwan, and various diseases including cancers and non-cancers. Although the potential-biological outcomes have been well-documented, the pathomechanisms leading from As exposure to occurrence and development of the diseases remain largely unclear. One of the major obstacles that hindered further understanding regarding the adverse health effect resulting from chronic As exposure is documentation of cumulative As exposure from the distant past, which remains difficult as the present technologies mostly document relatively recent As exposure. Furthermore, the susceptibility to As exposure appears to differ between different ethnic groups and individuals and is modified by lifestyle factors including smoking habits and nutrition status. No consensus data has yet been reached even after comparing the study results obtained from different parts of the world focusing on associations between human As toxicity and genetic polymorphisms in terms of cellular detoxification enzymes, tumor suppressor proteins, and DNA repair pathway. With the availability of the new powerful “OMIC” technologies, it may now be possible to gain new path-breaking insights regarding this important environmental health issue. The lessons learned from the past half-century placed Taiwan in an experienced position to actively participate in the international collaborative projects using these novel technologies and standardized methods

The Impact of Individual Characteristics, Personality Traits, Perceived Risk on Young People's Intention to Participate in Overseas Working Holiday

AbstractThis paper analyzes whether individual characteristics, personality traits, and perceived risk will affect young people's intention to participate in overseas working holiday, and taking the three countries of Australia, the United States, and the United Kingdom as examples. The sample consists of young people and students at numerous universities and colleges, with ages ranging from 18 to 31. A total of 350 questionnaires were issued, and 204 valid questionnaires were recovered, with a return rate of 58.2%. Multiple regression was used to test hypotheses. The research results indicate that the factors influencing young people's intention to take working holiday in different countries were not entirely the same. It is found that age, work experience, neuroticism, extroversion, openness to experience, agreeableness, environmental and social risk, and agent and workplace risk may influence intention to participate in overseas working holiday. The research implications and recommendations are also presented

An Integrated Dataflow Based Model for Digital Investigation

This study developed a highly adaptive digital forensic model, applicable to various situations, which clearly describes the digital forensic process and their purposes as well as ensuring the exactness and effectiveness of digital forensic results. It examined the viewpoint of the digital evidence process flow throughout an entire forensic process, and it hoped to provide a complete explanation of the digital forensic procedure and the details of execution. In addition, it proposed three new forensic concepts: primary, supported and comprehensive forensic procedures. The structural hierarchy constructed in the model can be expanded, then divided into its simplest forms, allowing independent task assignments. It further proposed several innovative digital forensic concepts, such as a new feedback mechanism. Finally, this model could provide a detailed list of the resources necessary for an entire forensic activity, applicable to management planning. This model provided a practical description approach and established a comprehensive and uniform digital expression form. The aim is to accumulate and to share experience and knowledge, hoping to create more mature and practical digital forensic science and to provide a reference for the practitioners of digital forensics