Validation of purdue engineering shape benchmark clusters by crowdsourcing

The effective organization of CAD data archives is central to PLM and consequently content based retrieval of 2D drawings and 3D models is often seen as a "holy grail" for the industry. Given this context, it is not surprising that the vision of a "Google for shape", which enables engineers to search databases of 3D models for components similar in shape to a query part, has motivated numerous researchers to investigate algorithms for computing geometric similarity. Measuring the effectiveness of the many approaches proposed has in turn lead to the creation of benchmark datasets against which researchers can compare the performance of their search engines. However to be useful the datasets used to measure the effectiveness of 3D retrieval algorithms must not only define a collection of models, but also provide a canonical specification of their relative similarity. Because the objective of shape retrieval algorithms is (typically) to retrieve groups of objects that humans perceive as "similar" these benchmark similarity relationships have (by definition) to be manually determined through inspection

The power of the crowd: promise and potential of crowdsourcing for education

Crowdsourcing is the term often used for processes of data collation and creation where individuals or groups of users who are not necessarily located centrally generate content that is then shared. While the term originates within the world of business, it has since gained traction within a number of academic and professional disciplines. Drawing upon two examples that have originated within the Republic of Ireland, this paper reflects on the educational potential of crowdsourcing. Firstly, it reports a unique one-year open crowdsourcing initiative which compiled a comprehensive A-Z directory of edtech tools for teaching and learning through collaborative contributions. Secondly, it describes an initiative to develop a crowdsourced repository of study tips and suggestions for adult, part-time, online and flexible learners embarking on further study. These two case studies provide a valuable context for considering the wider potential of crowdsourcing applications for teaching and learning purposes

Geometric reasoning via internet crowdsourcing

The ability to interpret and reason about shapes is a peculiarly human capability that has proven difficult to reproduce algorithmically. So despite the fact that geometric modeling technology has made significant advances in the representation, display and modification of shapes, there have only been incremental advances in geometric reasoning. For example, although today's CAD systems can confidently identify isolated cylindrical holes, they struggle with more ambiguous tasks such as the identification of partial symmetries or similarities in arbitrary geometries. Even well defined problems such as 2D shape nesting or 3D packing generally resist elegant solution and rely instead on brute force explorations of a subset of the many possible solutions. Identifying economic ways to solving such problems would result in significant productivity gains across a wide range of industrial applications. The authors hypothesize that Internet Crowdsourcing might provide a pragmatic way of removing many geometric reasoning bottlenecks.This paper reports the results of experiments conducted with Amazon's mTurk site and designed to determine the feasibility of using Internet Crowdsourcing to carry out geometric reasoning tasks as well as establish some benchmark data for the quality, speed and costs of using this approach.After describing the general architecture and terminology of the mTurk Crowdsourcing system, the paper details the implementation and results of the following three investigations; 1) the identification of "Canonical" viewpoints for individual shapes, 2) the quantification of "similarity" relationships with-in collections of 3D models and 3) the efficient packing of 2D Strips into rectangular areas. The paper concludes with a discussion of the possibilities and limitations of the approach

Cloud Platform for Research Crowdsourcing in Mobile Testing

Mobile application testing and testing over a cloud are two highly topical fields nowadays. Mobile testing presents specific test activities, including verification of an application against a variety of heterogeneous smartphone models and versions of operating systems (OS), build distribution and test team management, monitoring and user experience analytics of an application in production, etc. Cloud benefits are widely used to support all these activities. This study conducts in-depth analyses of existing cloud services for mobile testing and addresses their weaknesses regarding research purposes and testing needs of the critical and business-critical mobile applications.   During this study, a Cloud Testing of Mobile Systems (CTOMS) framework for effective research crowdsourcing in mobile testing was developed. The framework is presented as a lightweight and easily scalable distributed system that provides a cloud service to run tests on a variety of remote mobile devices. CTOMS provides implementation of two novel functionalities that are demanded by advanced investigations in mobile testing. First, it allows full multidirectional testing, which provides the opportunities to test an application on different devices and/or OS versions, and new device models or OS versions for their compatibility with the most popular applications in the market, or just legacy critical apps, etc. Second, CTOMS demonstrates the effective integration of the appropriate testing techniques for mobile development within such a service. In particular, it provides a user with suggestions about coverage of configurations to test on using combinatorial approaches like a base choice, pair-wise, and t-way. The current CTOMS version supports automated functional testing of Android applications and detection of defects in the user interface (UI). This has a great value because requirements for UI and user experience are high for any modern mobile application.    The fundamental analysis of possible test types and techniques using a system like CTOMS was conducted, and ways of possible enhancements and extensions of functionality for possible research are listed. The first case studies prove the work of implemented novel concepts, their usefulness, and their convenience for experiments in mobile testing. The overall work proves that a study of cloud mobile testing is feasible even with small research resources.  M.S

Reward Enhances Online Participants’ Engagement With a Demanding Auditory Task

Online recruitment platforms are increasingly used for experimental research. Crowdsourcing is associated with numerous benefits but also notable constraints, including lack of control over participants’ environment and engagement. In the context of auditory experiments, these limitations may be particularly detrimental to threshold-based tasks that require effortful listening. Here, we ask whether incorporating a performance-based monetary bonus improves speech reception performance of online participants. In two experiments, participants performed an adaptive matrix-type speech-in-noise task (where listeners select two key words out of closed sets). In Experiment 1, our results revealed worse performance in online (N = 49) compared with in-lab (N = 81) groups. Specifically, relative to the in-lab cohort, significantly fewer participants in the online group achieved very low thresholds. In Experiment 2 (N = 200), we show that a monetary reward improved listeners’ thresholds to levels similar to those observed in the lab setting. Overall, the results suggest that providing a small performance-based bonus increases participants’ task engagement, facilitating a more accurate estimation of auditory ability under challenging listening conditions

Contemporary Issues of Open Data in Information Systems Research: Considerations and Recommendations

Researchers, governments, and funding agencies are calling on research disciplines to embrace open data—data that anyone can access and use. They have done so based on the premise that research efforts can draw and generate several benefits from open data because it might provide further insight and enable individuals to replicate and extend current knowledge in different contexts. These potential benefits, coupled with a global push towards open data policies, bring open data into the agenda of research disciplines, which includes information systems (IS). In this paper, we respond to these developments as follows. We outline themes in the ongoing discussion around open data in the IS discipline. The themes fall into two clusters: 1) the motivation for open data includes themes of mandated sharing, benefits to the research process, extending the life of research data, and career impact; and 2) the implementation of open data includes themes of governance, socio-technical system, standards, data quality, and ethical considerations. In this paper, we outline the findings from a pre-ICIS 2016 workshop on the topic of open data. The workshop discussion confirmed themes and identified issues that require attention in terms of the approaches that IS researchers currently use. The IS discipline offers a unique knowledge base, tools, and methods that can advance open data across disciplines. Based on our findings, we provide suggestions on how IS researchers can drive the open data conversation. Further, we provide advice for adopting and establishing procedures and guidelines for archiving, evaluating, and using open data

Использование методов краудсорсинга в процессе развития туризма в г. Томске

Объект исследования – теоретические и методологические основы краудсорсинга. Предмет исследования – краудсорсинг в туризме. Проблему данного исследования можно выразить в вопросе: актуально ли использование краудсорсинга в проектах, направленных на развитие культурной среды города и повышение его туристской привлекательности? Цель исследования: разработка краудсорсинг-проекта «Смотри Театр».та.The object of study – theoretical and methodological foundations of crowdsourcing. Subject of research – crowdsourcing in tourism. The problem of this study can be expressed in the question: whether the actual use of crowdsourcing in projects aimed at development of cultural environment of the city and improving its tourist attractiveness? The purpose of the study: development of a crowdsourcing project "Look Theater"

Making citizen science newsworthy in the era of big data

This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality, access dynamics, the difficulty investigating algorithms, and concerns about certain constraints impacting on transparency and accountability

Crowdsourcing to Improve HIV and Sexual Health Outcomes: a Scoping Review.

PURPOSE OF REVIEW: This review synthesizes evidence on the use of crowdsourcing to improve HIV/sexual health outcomes. RECENT FINDINGS: We identified 15 studies, including four completed randomized controlled trials (RCTs), one planned RCT, nine completed observational studies, and one planned observational study. Three of the four RCTs suggested that crowdsourcing is an effective, low-cost approach for improving HIV testing and condom use among key populations. Results from the observational studies revealed diverse applications of crowdsourcing to inform policy, research, and intervention development related to HIV/sexual health services. Crowdsourcing can be an effective tool for informing the design and implementation of HIV/sexual health interventions, spurring innovation in sexual health research, and increasing community engagement in sexual health campaigns. More research is needed to examine the feasibility, acceptability, and effectiveness of crowdsourcing interventions, particularly in low- and middle-income countries