A Microcomputer Assessment System (MAS) for administering computer-based surveys: Preliminary results from administration to clients at an impaired-driver treatment program

The Microcomputer Assessment System (MAS), written in C language, allows a researcher to design and administer computer-based surveys by manipulating ASCII text files and requires no knowledge of a traditional programming language. The system was designed to provide maximum user flexibility: MAS allows both multiple-choice and open-ended (fill-in) questions and allows control over text color, allowable answers, and summary output. MAS also assesses response latency and includes support for random assignment of different instruments to respondents. MAS runs under MS-DOS 3.0 or higher, requires 640K of RAM, a color screen (EGA or better), and an extended keyboard. Preliminary results from an application of MAS to a sample of. 121 clients at an impaired-driver treatment program are summarized.     

Detecting drivers’ cognitive load from saccadic intrusion

In this paper, we have explored use of Saccadic Intrusion to detect drivers’ cognitive load and instantaneous perception of developing road hazards. Saccadic Intrusion is a type of eye gaze movement which was earlier found to be related to change in cognitive load. We have developed an algorithm to detect saccadic intrusion from a commercially available low-cost eye gaze tracker and conducted four user studies involving a driving simulator and cognitive and hazard perception tests. Our results show that average velocities of saccadic intrusion increases with increase in cognitive load and recording saccadic intrusion and eye blinks for 6 s duration can predict drivers’ instantaneous perception of developing road hazards.     

Who Rules the Ruler? On the Misconduct of Journal Editors

There are very few (published) accounts of editorial misconduct, and those that do exist are almost exclusively focused on medicine-related areas. In the present article we detail a case of editorial misconduct in a rather underexplored domain, the social sciences. This case demonstrates that although legal systems provide different instruments of protection to avoid, compensate for, and punish misconduct on the part of journal editors, the social and economic power unbalance between authors and publishers suggests the importance of alternative solutions before or instead of bringing a lawsuit to court. It puts forward strong arguments in favour of the need for effective regulatory bodies so as to achieve and maintain a culture of research integrity by all involved in the process.     

Research and application of virtual user context information security strategy based on group intelligent computing

This article first introduced the current technology of the privacy protection model, and analyzed their characteristics and deficiencies. Afterwards, from the point of view of revenue, the shortcomings of the traditional privacy protection model have analyzed through the group intelligent computing method. Based on this, this paper proposes a research and application of virtual user information of security strategy based on group intelligent computing, through the collection of visitor's private information historical access data, intelligent calculation of the strategy group between the visitor and the interviewee. The setting of the threshold of the visited person can protect the privacy information of the user more effectively. In this paper, the implementation flow, algorithm implementation process, and specific architecture design of the proposed virtual user of privacy protection model based on group intelligent computing are introduced respectively. The specific algorithms include PCA, BP neural network, and genetic algorithm. Finally, the proposed privacy has verified through experiments. Protection model can protect user privacy more effectively than traditional privacy protection model. In the future, we will further expand and improve the privacy protection model of virtual users based on group intelligent computing, including considering the dynamic and inconsistency of access to the privacy information, that is, accessing different private information will produce different overlay effects and parallelism. We will also study how to apply this model to actual systems such as shopping websites and social platforms, and use commercial data to evaluate the performance of the model and further improve it.     

The influence of system transparency on trust: Evaluating interfaces in a highly automated vehicle

Previous studies indicate that, if an automated vehicle communicates its system status and intended behaviour, it could increase user trust and acceptance. However, it is still unclear what types of interfaces will better portray this type of information. The present study evaluated different configurations of screens comparing how they communicated the possible hazards in the environment (e.g. vulnerable road users), and vehicle behaviours (e.g. intended trajectory). These interfaces were presented in a fully automated vehicle tested by 25 participants in an indoor arena. Surveys and interviews measured trust, usability and experience after users were driven by an automated low-speed pod. Participants experienced four types of interfaces, from a simple journey tracker to a windscreen-wide augmented reality (AR) interface which overlays hazards highlighted in the environment and the trajectory of the vehicle. A combination of the survey and interview data showed a clear preference for the AR windscreen and an animated representation of the environment. The trust in the vehicle featuring these interfaces was significantly higher than pretrial measurements. However, some users questioned if they want to see this information all the time. One additional result was that some users felt motion sick when presented with the more engaging content. This paper provides recommendations for the design of interfaces with the potential to improve trust and user experience within highly automated vehicles.     

Self-directed career exploration: A comparison of CHOICES and the Self-Directed Search

This study compared student satisfaction ratings for CHOICES, an interactive computer-based career guidance program, and the Self-Directed Search,a pencil-and-paper career planning guide. During the first testing session, subjects (N = 75) completed a biographical data sheet and were alternately assigned to either the CHOICES or the SDS treatment. Later, each subject completed the other treatment and two research instruments designed to assess their reactions to both treatments. Results indicated a user preference for CHOICES over the SDS, although both programs received positive ratings. The findings were discussed in terms of user reactions to career guidance programs and the selection of the most cost-effective treatment.     

A factor analysis of new and standardized instruments to measure the creative potential and high-energy action preference of performing arts students. A preliminary investigation

Two standardized creativity instruments and three original instruments to measure a preference for high-energy activity and to provide a creative product were given to 86 dance, music and drama students. A factor analysis of eight scales of the five instruments showed correlation between the new and standardized instruments, produced three groupings—visual, verbal and action—and an ANOVA demonstrated that some of these scales could differentiate among the specialist groups. The new instruments were devised to clarify if performing arts students, whose major activity is often interpretive, are creative and if their choice to be performers is related to a preference for high-energy physical activities.     

Perceived probability, perceived severity, and health-protective behavior.

It seems obvious that 2 key attributes of health hazards, their perceived probability and perceived severity, do not act independently on the motivation to engage in protective behavior. If a health problem is perceived to have no chance of occurring, there should be no interest in acting against it, regardless of how serious it might be. Nevertheless, researchers seldom observe the expected interaction between probability and severity. A case study approach was used to examine how probability and severity combine to influence interest in protection. Ratings of motivation to act, probability, and severity for 201 hazards were collected from 12 participants, and data were analyzed for each person separately. Analyses revealed the expected Probability x Severity interaction. Additional calculations showed why it is difficult to detect this interaction using between-subjects designs. The data also revealed that people are surprisingly insensitive to variations in hazard probability when probabilities are in the moderate to high range.     

Cyberbullying assessment instruments: A systematic review

Although several instruments to assess cyberbullying have been developed, there is nevertheless a lack of knowledge about their psychometric properties. The aim of the present systematic review is to provide a representative overview of the current instruments designed to assess cyberbullying. Further, emphasis will be placed on the structural and psychometric properties of cyberbullying instruments, such as validity and reliability, as well as their conceptual and definitional bases. It will also provide criteria for readers to evaluate and choose instruments according to their own aims. A systematic literature review, limited to publications published prior to October 2010, generated 636 citations. A total of 61 publications fulfilled the delineated selection criteria and were included in the review, resulting in 44 instruments. Following a rater training, relevant information was coded by using a structured coding manual. The raters were the nine authors of this review. Almost half of the instruments included in this review do not use the concept of cyberbullying. The constructs measured by the instruments range from internet harassment behavior to electronic bullying behavior to cyberbullying. Even though many of the authors use other concepts than cyberbullying they claim that their instruments do measure it. For the purpose of this systematic review, we have chosen to categorize them as two different groups, cyberbullying instruments and related instruments. Additionally, most of the included instruments had limited reports of reliability and validity testing. The systematic review reveals a need for investigating the validity and reliability of most of the existing instruments, and resolving the conceptual and definitional fluctuations related to cyberbullying.     

RESPONSIBILITY TO PROTECT AND MILITARIZED HUMANITARIAN INTERVENTION: When and Why the Churches Failed to Discern Moral Hazard

This essay addresses moral hazards associated with the emerging doctrine of the Responsibility to Protect (R2P). It reviews the broad acceptance by the Vatican and the World Council of Churches of the doctrine between September 2003 and September 2008, and attempts to identify grounds for more adequate investigation of the moral issues arising. Three themes are pursued: how a changing political context is affecting notions of sovereignty; the authority that can approve or refuse the use of force; and plural foundations for human rights in a religiously and otherwise plural world such that the human rights protection does not become tyrannical.     

A survey of psychological test use patterns among forensic psychologists

Clinical psychologists are frequently called on to testify in court regarding mental health issues in civil or criminal cases. One of the legal criteria by which admissibility of testimony is determined includes whether the testimony is based on methods that have gained "general acceptance" in their field. In this study, we sought to evaluate the psychological tests used in forensic assessments by members of the American Psychology-Law Society Division of the American Psychological Association, and by diplomates in the American Board of Forensic Psychology. We present test results from this survey, based on 152 respondents, for forensic evaluations conducted with adults using multiscale inventories, single-scale tests, unstructured personality tests, cognitive and/or intellectual tests, neuropsychological tests, risk assessment and psychopathy instruments, sex offender risk assessment instruments, competency or sanity-related instruments, and instruments used to evaluate malingering. In addition, we provide findings for psychological testing involving child-related forensic issues.     

Clinically useful,research validated assessment of persons with alcohol problems

Advances in treatment approaches available for persons with alcohol problems, particularly the advent of cognitive behavioral and motivational approaches, have made systematic assessment of these problems more important than ever for clinicians. There is a plethora of assessment instruments available, and it is a difficult task for clinicians to conceptualize, select and use these instruments in a coherent fashion. Particularly important in this task is the identification of research validated instruments that provide both clinically useful and psychometrically sound data. This paper presents a model of alcohol assessment and reviews selected research validated instruments that can be assembled into an assessment battery that provides useful data to guide treatment of alcohol problems while also addressing practical concerns encountered by clinicians in practice.     

Ethnic Minority Women’s Experiences with Intimate Partner Violence: Using Community-Based Participatory Research to Ask the Right Questions

Current definitions, instruments, and processes for measuring intimate partner violence, including sexual assault, are insufficient to detect the nature and scope of violence against all women. To remedy this problem, we recommend the use of community-based participatory research (CBPR) principles to develop culturally informed quantitative instruments that measure ethnic minority women’s experiences of intimate partner violence (IPV). CBPR requires community members and researchers to work equitably together throughout the research process, sharing decision-making and ownership. This paper identifies problems with current measurement approaches and describes the strengths and challenges of the CBPR approach. We argue that this research orientation offers the potential for “flexible standardization” that can provide better estimates of the extent of IPV and sexual assault, and provide communities with the knowledge they need to address these problems in a culturally sensitive manner.     

A visual approach to statistical power analysis on the microcomputer

Computer programs for statistical power analysis typically require the user to provide a series of values and respond by reporting the corresponding power. These programs provide essentially the same functions as a published text, albeit in a more convenient form. In this paper, we describe a program that instead uses innovative graphic techniques to provide insight into the interaction among the factors that determine power. For example, fort tests, the means and standard deviations of the two distributions, sample sizes, and alpha are displayed as bar graphs. As the researcher modifies these values, the corresponding values of beta (also displayed as a bar graph) and power are updated and displayed immediately. By displaying all of the factors that are instrumental in determining power, the program ensures that each will be addressed By allowing the user to determine the impact that any modifications will have on power, the program encourages an appropriate balance between alpha and beta while working within the constraints imposed by a limited sample size. The program also allows the user to generate tables and graphs to document the impact of the various factors on power. In addition, the program enables the user to run on-screen Monte Carlo simulations to demonstrate the importance of adequate statistical power, and as such, it can serve as a unique educational tool.     

Transparency of Self-Report Racial Attitude Scales

Researchers frequently use self-report prejudice scales to assess predictors and outcomes. Responding to evidence that such instruments are vulnerable to social desirability pressures and diverge from implicit attitude measures, researchers have developed instruments intended to be less transparent in their social implications. The purpose of this study was to assess the transparency of a sample of such instruments. Participants completed prejudice measures under typical scale instructions, or under alternate instructions to portray themselves either positively or negatively. The results indicate that several common measures of prejudice are quite transparent in their implications. Further, mean scores of participants instructed to provide desirable responses were indistinguishable from those ostensibly responding honestly.     

A cognitively enhanced collaborative control architecture for an intelligent wheelchair: Formalization,implementation and evaluation

For people with mobility impairment, powered wheelchairs are able to extend independent transportation. However, most users find it difficult to operate the powered wheelchairs effectively. This can be due to variety of physical or cognitive impairments. Herein lies the motivation of developing intelligent wheelchairs that provide the user, assistance in control and navigation as and when required, supporting retention of residual skills. For better Human-Robot Interaction, such intelligent wheelchairs need to be cognitively enhanced. This paper propose a Cognitive Collaborative Architecture (CCA) for an intelligent wheelchair which is designed to assist the user as a team member. Whenever user finds it difficult to drive or control the wheelchair, CCA transfers control to the robotic agent which continues the human navigation strategy providing ‘assistance-as-required’.     

基于概念外延的用户认知表达-——以智能冰箱的用户认知研究为例

--用户认知具有主观性、模糊性、进化性及多维性等不确定性特点,难以编码与度量。提出以概念外延表达的集合论方法与模糊数学把研究用户认知转换成研究代表它的因素集合;提出用数据驱动的互联网文本挖掘获取因素集,采用TF-IDF与模糊统计求解因素的隶属度,完成用户认知的数学表达,为进一步研究提供数学基础;最后以海信智能冰箱项目进行论证。由于用户认知属于典型的不确定性复杂对象,论文所用方法适用于所有复杂对象的建模与求解。     

Effect of hazard warning on workers' attitudes and risk taking behavior.

Until recently, the issue of job hazards has been largely ignored as a research and theoretical topic in business and management disciplines although workers' perceptions and assessments of job hazards are of significance to managers. In this paper are reported results of an experiment conducted in Egyptian chemical firms to test the generality of an implicit rational model used to explain employees' reactions to and perceptions of job hazards. Four hypotheses were tested: (1) workers' subjective estimates of their job hazards are positively related to the objective hazard, (2) workers' subjective estimates of a prospective new job hazard will vary directly with the extent of hazard communicated by the new product label, (3) workers' demand for new hazard wage premiums will vary directly with perceived prospective new work hazards, (4) workers' intention to quit the job will vary directly with subjective and objective estimates of job hazards. All hypotheses were supported. The rational worker model appears to be a general explanation for workers' responses to hazardous jobs and information on hazards. This model not only holds for USA workers but also for those in a nonwestern culture. Implications for management and the industrial setting are discussed.     

Modeling dating decisions in a mock swiping paradigm: An examination of participant and target characteristics

New online dating platforms, such as Tinder, are dramatically changing the context in which people seek romantic relationships. In these platforms, users select partners they are willing to start a conversation with by “swiping” on them. These platforms provide exciting possibilities for applying new methods to test how user (e.g., demographic, personality) and target/partner (e.g., attractiveness, race) factors predict attraction. Across four laboratory studies (total N = 2,679), target physical attractiveness and target race were the largest predictors of decisions in this hypothetical dating context, whereas user individual difference traits were poor predictors. The current studies provide substantive information about the factors that predict romantic attraction in the context of mobile-based dating applications.