The security of online assessments is a major concern due to widespread cheating. One common form of cheating is impersonation, where students invite unauthorized persons to take assessments on their behalf. Several techniques exist to handle impersonation. Some researchers recommend use of integrity policy, but communicating the policy effectively to the students is a challenge. Others propose authentication methods like, password and fingerprint; they offer initial authentication but are vulnerable thereafter. Face recognition offers post-login authentication but necessitates additional hardware. Keystroke Dynamics (KD) has been used to provide post-login authentication without any additional hardware, but its use is limited to subjective assessment. In this work, we address impersonation in assessments with Multiple Choice Questions (MCQ). Our approach combines two key strategies: reinforcement of integrity policy for prevention, and keystroke-based random authentication for detection of impersonation. To the best of our knowledge, it is the first attempt to use keystroke dynamics for post-login authentication in the context of MCQ. We improve an online quiz tool for the data collection suited to our needs and use feature engineering to address the challenge of high-dimensional keystroke datasets. Using machine learning classifiers, we identify the best-performing model for authenticating the students. The results indicate that the highest accuracy (83%) is achieved by the Isolation Forest classifier. Furthermore, to validate the results, the approach is applied to Carnegie Mellon University (CMU) benchmark dataset, thereby achieving an improved accuracy of 94%. Though we also used mouse dynamics for authentication, but its subpar performance leads us to not consider it for our approach.
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Local Gabor features (jets) have been widely used in face recognition systems. Once the sets of jets have been extracted from the two faces to be compared, a proper measure of similarity (or distance) between corresponding features should be chosen. For instance, in the well known Elastic Bunch Graph Matching (EBGM) approach and other Gabor-based face recognition systems, the cosine distance was used as a measure. In this paper, we provide an empirical evaluation of seven distance measures for comparison, using a recently introduced face recognition system, based on Shape Driven Gabor Jets (SDGJ). Moreover we evaluate different normalization factors that are used to pre-process the jets. Experimental results on the BANCA database suggest that the concrete type of normalization applied to jets is a critical factor, and that some combinations of normalization + distance achieve better performance than the classical cosine measure for jet comparison.
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Binnen Fontys Hogeschool HRM en Psychologie wordt veel onderzoek uitgevoerd, onder andere door onderzoekers van de lectoraten Dynamische Talentinterventies en Mens en Technologie, studenten, docent-onderzoekers en medewerkers. In deze onderzoeken worden vaak persoonsgegevens verwerkt. Met deze handreiking hopen we jou als onderzoeker voldoende informatie, kennis en praktische tips te geven, zodat je helemaal AVG-proof aan je onderzoek kunt werken. Heb je vragen of opmerkingen over iets uit deze uitgave? Neem dan contact op met hrmenpAVG@fontys.nl.
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This paper proposes an epistemological transition based on Edgar Morin's complexity paradigm to analyse authenticity in a complex tourism environment, avoiding fragmentation, and integrating relevant actors and relationships. The results show that storytelling is an important element of these tourism experiences, legitimising and unifying the authenticity of the experience and relating objects, social environment and individual experiences. The size of the tour groups and the rigidity of the itinerary were important elements for constructing authenticity. Tourists, service providers and government bodies all directly or indirectly participate as co-creators, making the perception of authenticity a constant negotiation between the elements of the experience and the actors involved in it.
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The online presence of organizations is long gone from being just a web page. Social media have enabled easy and inexpensive interaction between millions of individuals and communities. This has not gone unnoticed by cultural heritage institutes. The question is what all these social media activities bring. Even if an institute knows what it tries to achieve online, the metrics often consist of confusing accumulation of statistics, across several systems and reveal little about online user behaviour, engagement and satisfaction. In the research project Museum Compass a prototype of a social media monitor is developed, which will contain data of current and historic online activities on Facebook, Twitter, YouTube, Foursquare and Flickr of all registered Dutch museums. The first version of this monitor has been developed, and we believe that this is a good moment to discuss – mostly in a practical sense – our general approach and preliminary results.
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In this paper we discuss the general approach and choices we made in developing a prototype of a social media monitor. The main goal of the museum monitor is to offer museum professionals and researchers better insight in the effects of their own social media usage and compare this with other actors in the cultural heritage sector. It gives researchers the opportunity to consider communication within the sector as whole. In the research project “Museum Compass” we have developed a prototype of a social media monitor, which contains data of current and historic online activities on Facebook, Twitter, YouTube, Foursquare and Flickr of all registered Dutch museums. We discuss – mostly in a practical sense – our approach for developing the monitor and give a few examples as a result of its usage.
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Abstract from article: The Dutch healthcare system has changed towards a system of regulated competition to contain costs and to improve efficiency and quality of care. This paper provides: (1) a brief as-is overview of the changes for primary care, based on explorative literature reviews; (2) provides noteworthy remarks as for the way primary and secondary healthcare is organised; (3) an example of an E-health portal illustrating implemented processes within the Dutch context and (4) a proposed research agenda on various e-health topics. Noteworthy remarks are: (1) government, insurer, healthcare provider and patient are main actors within the Dutch healthcare system; (2) general practitioners (GP’s) are gatekeepers to secondary and other care providers; (3) the illustrated portal with a patient oriented design, provides access to applications implemented at care providers resulting in increased electronic availability and increased patient satisfaction; (4) a variety of fragmented information systems at health care providers exists, which leaves room for standardisation and increased efficiency. We end with suggestions for future research.
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Presentation at the European Conference for Social Work Research, Leuven: Belgium
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A (semi-)closed greenhouse is a novel greenhouse with an active cooling system and temporary heat storage in an aquifer. Air is cooled, heated and dehumidified by air treatment units. Climate in (semi-)closed greenhouses differs from that of conventional open greenhouses. The aims of our research were first, to analyze the effect of active cooling on greenhouse climate, in terms of stability, gradient and average levels; second, to determine crop growth and production in closed and semi-closed greenhouses. An experiment with tomato crop was conducted from December 2007 until November 2008 in a closed greenhouse with 700 W m-2 cooling capacity, two semi-closed greenhouses with 350 and 150 W m-2 cooling capacity, respectively, and an open greenhouse. The higher the cooling capacity, the more independent the greenhouse climate was of the outside climate. As the cooling ducts were placed underneath the plants, cooling led to a remarkable vertical temperature gradient. Under sunny conditions temperature could be 5°C higher at the top than at the bottom of the canopy in the closed greenhouse. Cumulative production in the semi-closed greenhouses with 350 and 150 W m-2 cooling capacity were 10% (61 kg m-2) and 6% (59 kg m-2) higher than that in the open greenhouse (55 kg m-2), respectively. Cumulative production in the closed greenhouse was 14% higher than in the open greenhouse in week 29 after planting but at the end of the experiment the cumulative increase was only 4% due to botrytis. Model calculations showed that the production increase in the closed and semi-closed greenhouses was explained by higher CO2 concentration.
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Digitalization enables public organizations to personalize their services, tuning them to the specific situation, abilities, and preferences of the citizens. At the same time, digital services can be experienced as being less personal than face-to-face contact by citizens. The large existing volume of academic literature on personalization mainly represents the service provider perspective. In contrast, in this paper we investigate what makes citizens experience a service as personal. The result are eight dimensions that capture the full range of individual experiences and expectations that citizens expressed in focus groups. These dimensions can serve as a framework for public sector organizations to explore the expectations of citizens of their own services and identify the areas in which they can improve the personal experiences they offer.
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