AGSuite: Software to conduct feature analysis of artificial grammar learning performance

To simplify the problem of studying how people learn natural language, researchers use the artificial grammar learning (AGL) task. In this task, participants study letter strings constructed according to the rules of an artificial grammar and subsequently attempt to discriminate grammatical from ungrammatical test strings. Although the data from these experiments are usually analyzed by comparing the mean discrimination performance between experimental conditions, this practice discards information about the individual items and participants that could otherwise help uncover the particular features of strings associated with grammaticality judgments. However, feature analysis is tedious to compute, often complicated, and ill-defined in the literature. Moreover, the data violate the assumption of independence underlying standard linear regression models, leading to Type I error inflation. To solve these problems, we present AGSuite, a free Shiny application for researchers studying AGL. The suite’s intuitive Web-based user interface allows researchers to generate strings from a database of published grammars, compute feature measures (e.g., Levenshtein distance) for each letter string, and conduct a feature analysis on the strings using linear mixed effects (LME) analyses. The LME analysis solves the inflation of Type I errors that afflicts more common methods of repeated measures regression analysis. Finally, the software can generate a number of graphical representations of the data to support an accurate interpretation of results. We hope the ease and availability of these tools will encourage researchers to take full advantage of item-level variance in their datasets in the study of AGL. We moreover discuss the broader applicability of the tools for researchers looking to conduct feature analysis in any field.     

Design and operation of an EEG-based brain-computer interface with digital signal processing technology

We are developing an electroencephalographic (EEG)-based brain-computer interface (BCI) system that could provide an alternative communication channel for those who are totally paralyzed or have other severe motor impairments. The essential features of this system are as follows: (1) EEG analysis in real time, (2) real-time conversion of that analysis into device control, and (3) appropriate adaptation to the EEG of each user. Digital signal processing technology provides the speed and flexibility needed to satisfy these requirements. It also supports evaluation of alternative analysis and control algorithms, and thereby facilitates further BCI development.     

Evaluation from the inside: Participatory evaluation of agricultural research in the Philippines

This paper discusses the experience of a Philippines-based agricultural research program, where participatory evaluation is embedded in a broader, user-centered participatory research approach. Three case projects illustrate and analyze participatory evaluation of agricultural research in a developing country context. Different evaluation types are identified and their use in different phases of the research process is discussed. These field experiences show how “evaluation from the inside” can contribute to effective research planning and implementation, particularly in enhancing sensitivity to user needs and situations. network for user participatory rootcrop R&D sponsored by the International Potato Center in Asia. Under his leadership, UPWARD has increasingly sought to build participatory monitoring and evaluation into the network’s research and development activities. He has a Ph.D. in communication and innovation studies from Wageningen Agricultural University in The Netherlands. Prior joining UPWARD, Campilan worked with the International Institute of Rural Reconstruction and the Philippine Root Crop Research and Training Center. His research interests include communication of innovations, institutional linkage development, participatory research methods and tools, and strengthening local knowledge systems. From 1991 until 1997 he was coordinator of Users’ Perspectives With Agricultural Research and Development (UPWARD) network. He was previously based in Latin America. His main research interests include the socioeconomic and cultural aspects of crop genetic diversity conservation and utilization involving ethnobotanical studies, on-farm conservation, and work on seed systems. He is also interested in research on rural enterprise development. He has been actively involved in capacity building initiatives among national agricultural researchers, especially in participatory research methods and planning techniques. He can be contacted CIP-ESEAP, Kebun Percobaan Muara, Jalan Raya Ciapus, Bogor 16610, Indonesia, fax (62 251) 316 264, e-mail: G.Prain@cgiar.org. Her major responsibilities include facilitating the network’s activities on sustainable crop management R&D and on capacity building in participatory approaches and methods. At the UPWARD coordinating office, she is in charge of training, publications, and information management. She has extensive training and hands on experience in the use of participatory methods and tools, particularly through a Philippines project on soil resource management for sweetpotato production. She has an MSc in family resource management and development communication from the University of the Philippines at Los Ba?os. Her research interests include sustainable crop management, strengthening local R&D capacity, and field testing participatory methods and tools.     

Head-mounted displays for clinical virtual reality applications: pitfalls in understanding user behavior while using technology.

The use of virtual environments with head-mounted displays (HMDs) offers unique assets to the evaluation and therapy of clinical populations. However, research examining the effects of this technology on clinical populations is sparse. Understanding how wearers interact with the HMD is vital. Discomfort leads to altered use of the HMD that could confound performance measures; the very measures which might be used as tools for clinical decision making. The current study is a post-hoc analysis of the relationship between HMD use and HMD comfort. The analysis was conducted to examine contributing factors for a high incidence of simulator sickness observed in an HMD-based driving simulator. Pearson correlation analysis was used to evaluate objective and subjective measures of HMD performance and self-reported user comfort ratings. The results indicated weak correlations between these variables, indicating the complexity of quantifying user discomfort and HMD performance. Comparison of two case studies detailing user behavior in the virtual environment demonstrates that selected variables may not capture how individuals use the HMD. The validity and usefulness of the HMD-based virtual environments must be understood to fully reap the benefits of virtual reality (VR) in rehabilitation medicine.     

外资企业跨文化适应模式分析：结构方程建模

在总结国内外有关文献的基础上,编制了跨文化适应问卷,并运用此问卷调查了外资企业的314名高中层管理者,采用探索性、验证性因素分析和结构方程建模技术探讨跨文化适应的结构维度和适应模式。结果表明决策价值前提、人力资源利用、管理规范化构成了跨文化适应的管理决策维度;中外经理沟通、直接上下级关系、中高层团队合作构成跨文化适应的人际合作适应维度。跨文化适应与企业的经营绩效有十分密切的关系。     

Performance‐Appraisal Beliefs of Chinese Employees in Hong Kong and the Pearl River Delta

Working adults from Hong Kong (HK; N=102) and the Pearl River Delta (PRD; N=96) participated in a Chinese‐language, 20‐item, structured interview. The interview addressed five topics: performance criteria, implementation of the appraisal, factors attributed to performance, methods of feedback, and concerns about the use of performance appraisal (PA) at work. Results indicated that most respondents believe that PA facilitates communication between superiors and subordinates, that effective performance is a function of each individual's internal attributes (which may include aspects external to the workplace), and that feedback should be direct and frank, communicated by someone with authority and power. These results are consistent with the beliefs of people living in societies characterized as high in Confucian dynamism. We discussed implications of the findings for the use of PA in Chinese enterprises in HK and PRD.     

Family wealth and parent–child relationships

This study examined associations between self-reported family wealth and parent–child relationships, by contrasting three theoretical perspectives on the shape of the association. The study utilized data from the Norwegian part of the “Health behaviour in school-aged children study (HBSC) 2013/2014”, with a sample of 3383 children aged 11–15 years old. The shape of associations between family wealth and parent–child communication were tested using regression spline models with knots at 1 SD below mean family wealth and at 1 SD above mean family wealth. The regression spline models showed that increasing family wealth was associated with easier family communication, clearer family communication, and higher family support. Results revealed that for boys, the association between family wealth and outcomes was stronger for the lower segment of family wealth, than in medium and high segments of family wealth. For girls, the gradient across level of wealth was monotone, with higher parent–child communication and higher family support at higher family wealth. To conclude, the results from this study suggest a nonlinear pattern of inequality in parent–child relationships across the range of family wealth.     

The Getting To Outcomes Demonstration and Evaluation: An Illustration of the Prevention Support System

Communities are increasingly being required by state and federal funders to achieve outcomes and be accountable, yet are often not provided the guidance or the tools needed to successfully meet this challenge. To improve the likelihood of achieving positive outcomes, the Getting To Outcomes (GTO) intervention (manual, training, technical assistance) is designed to provide the necessary guidance and tools, tailored to community needs, in order to build individual capacity and program performance. GTO is an example of a Prevention Support System intervention, which as conceptualized by the Interactive Systems Framework, plays a key role in bridging the gap between prevention science (Prevention Synthesis and Translation System) and prevention practice (Prevention Delivery System). We evaluated the impact of GTO on individual capacity and program performance using survey- and interview-based methods. We tracked the implementation of GTO and gathered user feedback about its utility and acceptability. The evaluation of GTO suggests that it can build individual capacity and program performance and as such demonstrates that the Prevention Support System can successfully fulfill its intended role. Lessons learned from the implementation of GTO relevant to illuminating the framework are discussed.     

Maze Suite 1.0: A complete set of tools to prepare, present, and analyze navigational and spatial cognitive neuroscience experiments

Maze Suite is a complete set of tools that enables researchers to perform spatial and navigational behavioral experiments within interactive, easy-to-create, and extendable (e.g., multiple rooms) 3-D virtual environments. Maze Suite can be used to design and edit adapted 3-D environments, as well as to track subjects' behavioral performance. Maze Suite consists of three main applications: an editing program for constructing maze environments (MazeMaker), a visualization/rendering module (MazeWalker), and an analysis and mapping tool (MazeViewer). Each of these tools is run and used from a graphical user interface, thus making editing, execution, and analysis user friendly. MazeMaker is a .NET architecture application that can easily be used to create new 3-D environments and to edit objects (e.g., geometric shapes, pictures, landscapes, etc.) or add them to the environment effortlessly. In addition, Maze Suite has the capability of sending signal-out pulses to physiological recording devices, using standard computer ports. Maze Suite, with all three applications, is a unique and complete toolset for researchers who want to easily and rapidly deploy interactive 3-D environments.     

智能组织中的人机协同决策：基于人机内部兼容性的研究探索

智能时代已然来临。智能技术的发展正加速推动组织的智能化进程。越来越多的企业在生产和管理中采用智能技术以提高竞争力。在此背景下,人机协同工作日益普遍,人机协同决策成为新型组织决策方式。然而,当前智能组织中的人机协同决策还面临信任度低、可控性低、透明度低、协同度低等一系列问题,它们阻碍了决策质量、效率和体验的提升。本项目认为,人机兼容性,特别是人机内部兼容性,如认知兼容性、情感兼容性、价值兼容性等,或是影响人机协同决策绩效的根本原因。因此,本项目基于人机内部兼容性理论视角,综合采用决策心理学、认知科学、组织行为学等多学科理论与方法,通过一系列现场研究和模拟实验,力图揭示人机协同决策中存在的问题及其成因,探究人机协同决策中内部兼容性的影响因素和作用机制,进而提出若干人机协同决策优化方法。项目研究成果将有助于促进人机协同决策理论与人机兼容性理论的发展,提升人机协同决策绩效,推进组织决策的智能化进程。     

Management Communication and Employee Performance: The Contribution of Perceived Organizational Support

This study used a cross-lagged panel design to examine the temporal relationship between management communication and perceived organizational support (POS), and its consequences for performance. We assessed management communication and POS 2 times, separated by a 3-year interval, in a social services organization (N?=?236). Our findings suggest that management communication was positively associated with a temporal change in POS. In addition, we found that POS fully mediates the relationship between management communication and both in-role and extra-role performance. The present study advances our theoretical knowledge concerning how management communication affects performance, with implications for practice. Specifically, it reveals that management communication affects performance mainly because it signals that the organization cares about the well-being and values the contributions of its employees.     

DataToText: A Consumer-Oriented Approach to Data Analysis

DataToText is a project developed where the user communicates the relevant information for an analysis and DataToText computer routine produces text output that describes in words, tables, and figures the results from the analyses. Two extended examples are given, one an example of a moderator analysis and the other an example of a dyadic data analysis. The advantages and disadvantages of DataToText are discussed in terms of the statement of the problem, the steps in the analysis, and understanding the meaning of the results. Also discussed is the potential role of DataToText in pedagogy. Although there are some clear deficiencies in a DataToText analysis, it is argued that, more often than not, DataToText will lead to better analyses. Finally, a call is made for methodologists to become more consumer oriented by providing researchers with tools to facilitate the use of methodological developments.     

Exploratory regression analysis: A tool for selecting models and determining predictor importance

Linear regression analysis is one of the most important tools in a researcher’s toolbox for creating and testing predictive models. Although linear regression analysis indicates how strongly a set of predictor variables, taken together, will predict a relevant criterion (i.e., the multiple R), the analysis cannot indicate which predictors are the most important. Although there is no definitive or unambiguous method for establishing predictor variable importance, there are several accepted methods. This article reviews those methods for establishing predictor importance and provides a program (in Excel) for implementing them (available for direct download at . The program investigates all 2 ^p – 1 submodels and produces several indices of predictor importance. This exploratory approach to linear regression, similar to other exploratory data analysis techniques, has the potential to yield both theoretical and practical benefits.     

Using Participatory System Dynamics Modeling to Examine the Local HIV Test and Treatment Care Continuum in Order to Reduce Community Viral Load

Achieving community‐level goals to eliminate the HIV epidemic requires coordinated efforts through community consortia with a common purpose to examine and critique their own HIV testing and treatment (T&T) care system and build effective tools to guide their efforts to improve it. Participatory system dynamics (SD) modeling offers conceptual, methodological, and analytical tools to engage diverse stakeholders in systems conceptualization and visual mapping of dynamics that undermine community‐level health outcomes and identify those that can be leveraged for systems improvement. We recruited and engaged a 25‐member multi‐stakeholder Task Force, whose members provide or utilize HIV‐related services, to participate in SD modeling to examine and address problems of their local HIV T&T service system. Findings from the iterative model building sessions indicated Task Force members’ increasingly complex understanding of the local HIV care system and demonstrated their improved capacity to visualize and critique multiple models of the HIV T&T service system and identify areas of potential leverage. Findings also showed members’ enhanced communication and consensus in seeking deeper systems understanding and options for solutions. We discuss implications of using these visual SD models for subsequent simulation modeling of the T&T system and for other community applications to improve system effectiveness.     

Mobile-Centric Ambient Intelligence in Health- and Homecare—Anticipating Ethical and Legal Challenges

Ambient Intelligence provides the potential for vast and varied applications, bringing with it both promise and peril. The development of Ambient Intelligence applications poses a number of ethical and legal concerns. Mobile devices are increasingly evolving into tools to orientate in and interact with the environment, thus introducing a user-centric approach to Ambient Intelligence. The MINAmI (Micro-Nano integrated platform for transverse Ambient Intelligence applications) FP6 research project aims at creating core technologies for mobile device based Ambient Intelligence services. In this paper we assess five scenarios that demonstrate forthcoming MINAmI-based applications focusing on healthcare, assistive technology, homecare, and everyday life in general. A legal and ethical analysis of the scenarios is conducted, which reveals various conflicting interests. The paper concludes with some thoughts on drafting ethical guidelines for Ambient Intelligence applications.     

AN ASSIMILATION THEORY PERSPECTIVE OF COMMUNICATION APPREHENSION

In this study, both the dynamic and stable qualities of communication apprehension are examined from an assimilation theory perspective. Based upon assimilation theory, PRC A scores obtained after an intervening speech performance are predicted from initial levels of communication apprehension and discrepancies between those initial levels and the levels of state anxiety experienced during speech performance. The results of multiple regression analysis indicate that both initial apprehension levels and the discrepancy variable contributed significantly to the prediction of post-intervention PRCA scores, a finding that supports an assimilation theory perspective of communication apprehension.     

Collaboration Technologies Improve Performance and Communication in Air Battle Management

Team communication is critical for Air Battle Management (ABM). In this study, two communication tools (text chat and electronic whiteboard) and two team resource aids (tabular and graphical displays) were introduced during simulated ABM to supplement radio communication. Results showed that combined chat and virtual whiteboard improved team performance, decreased number and duration of radio transmissions, but had mixed effects on workload. In addition, the graphical resource display improved team performance, decreased number and duration of radio transmissions, and reduced workload compared to the tabular display. These findings indicate that collaboration technologies introduced in this experiment may benefit military operations.     

Évaluation-Cognition-Polyhandicap (ECP) : apports d’une approche qualitative dans l’élaboration et la validation d’un outil

BackgroundSetting up a personalised project for any person with profound intellectual and multiple disabilities (PIMD) requires an evaluation of their cognitive skills. Nevertheless an international literature review highlights: a lack of adequate tools for evaluation of the cognitive skills of people with PIMD; the need to create standardised protocols. In 2009, Scelles et al. proposed the P2CJP–Profil de Compétences Cognitives du Jeune Polyhandicapé. This tool was designed for children up to 14 years of age. In 2017, this scale has been revised and extended to the adults, and called ECP (Evaluation-Cognition-PIMD).MethodTo elaborate and validate this tool, a statistical methodology has been combined with a qualitative process close to professionals and parents. The aim was to assess the relevance and the ergonomic of the ECP, the comprehension of items, the facility of use, the guideline and at least the effects regarding the practice.ResultsThe qualitative analyse of user backgrounds, at all validation stages, let adapt the ECP as well on the content as on the form. This work reveals the necessity to continue to adapt the ECP through interactions between users and searchers.     

Information system development: From user participation to contingent interaction among involved parties

Abstract

Over the last few decades many social scientists have pointed to the importance of user participation in information system development (SD). In study A the opinions of 314 Dutch system developers on this issue were examined. The conclusion is that the majority rate the value of user participation highly. However, these data confront us with three important problems. First, we cannot be sure that the stated preferences of system developers are reflected in their actual behaviour. Second, system developers may give a different meaning to the concept “user participation” than social scientists. Third, “user participation” does not necessarily imply “user influence” on SD. Moreover, the empirical relationship between user participation and the effectiveness of SD remains unclear. In our opinion this can be attributed both to the multidimensional nature of the former concept and to the contingency of this relationship to the context of SD. Therefore, in study B, we developed a multidimensional contingency model to study the interaction among parties in SD instead of the study of user participation. In this explorative study no linear relationship between the effectiveness of SD and the interaction between users and system developers was found. Instead, effective SD seemed to require a fit between the context of SD and the interactions with and among users.