Videoconferenced and face-to-face psychological supervision

Behavioural measures confirmed a greater teaching focus in early videoconferenced sessions, while speech style was consistently less interactive, compared with face-to-face. Overall supervision relationships felt closer in person, but some participants preferred the protection of distance. A positive attitude facilitated adaption to the videoconferencing modality for effective supervision.

A fast kernel dimension reduction algorithm with applications to face recognition

This paper presents a novel dimensionality reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-class distance and the sum of the within-class variances of the training samples for a given reduced dimension. This algorithm has lower complexity than the recently reported kernel dimension reduction(KDR) for supervised learning. We conducted several simulations with large training datasets, which demonstrate that the proposed algorithm has similar performance or is marginally better compared with KDR whilst having the advantage of computational efficiency. Further, we applied the proposed dimension reduction algorithm to face recognition in which the number of training samples is very small. This proposed face recognition approach based on the new algorithm outperforms the eigenface approach based on the principle component analysis (PCA), when the training data is complete, that is, representative of the whole dataset.

Unfolding a face : from singular to manifold

Face recognition from a single image remains an important task in many practical applications and a significant research challenge. Some of the challenges are inherent to the problem, for example due to changing lighting conditions. Others, no less significant, are of a practical nature – face recognition algorithms cannot be assumed to operate on perfect data, but rather often on data that has already been subject to pre-processing errors (e.g. localization and registration errors). This paper introduces a novel method for face recognition that is both trained and queried using only a single image per subject. The key concept, motivated by abundant prior work on face appearance manifolds, is that of face part manifolds – it is shown that the appearance seen through a sliding window overlaid over an image of a face, traces a trajectory over a 2D manifold embedded in the image space. We present a theoretical argument for the use of this representation and demonstrate how it can be effectively exploited in the single image based recognition. It is shown that while inheriting the advantages of local feature methods, it also implicitly captures the geometric relationship between discriminative facial features and is naturally robust to face localization errors. Our theoretical arguments are verified in an experimental evaluation on the Yale Face Database.

A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution

We consider the problem of matching a face in a low resolution query video sequence against a set of higher quality gallery sequences. This problem is of interest in many applications, such as law enforcement. Our main contribution is an extension of the recently proposed Generic Shape-Illumination Manifold (gSIM) framework. Specifically, (i) we show how super-resolution across pose and scale can be achieved implicitly, by off-line learning of subsampling artefacts; (ii) we use this result to propose an extension to the statistical model of the gSIM by compounding it with a hierarchy of subsampling models at multiple scales; and (iii) we describe an extensive empirical evaluation of the method on over 1300 video sequences – we first measure the degradation in performance of the original gSIM algorithm as query sequence resolution is decreased and then show that the proposed extension produces an error reduction in the mean recognition rate of over 50%.

An information-theoretic approach to face recognition from face motion manifolds

In this work, we consider face recognition from face motion manifolds (FMMs). The use of the resistor-average distance (RAD) as a dissimilarity measure between densities confined to FMMs is motivated in the proposed information-theoretic approach to modelling face appearance. We introduce a kernel-based algorithm that makes use of the simplicity of the closed-form expression for RAD between two Gaussian densities, while allowing for modelling of complex and nonlinear, but intrinsically low-dimensional manifolds. Additionally, it is shown how geodesically local FMM structure can be modelled, naturally leading to a stochastic algorithm for generalizing to unseen modes of data variation. Recognition performance of our method is demonstrated experimentally and is shown to exceed that of state-of-the-art algorithms. Recognition rate of 98% was achieved on a database of 100 people under varying illumination

Do cyclic changes in women's face preferences target cues to long-term health?

A shift to prefer more masculine male faces when conception risk is high may be an adaptation for finding mates with good disease resistance. We investigated whether preferences for other facial cues to long-term health also increase when conception is likely. We examined preferences for the faces of men with good health histories and for facial averageness and symmetry, two putative indicators of health during development. Preferences were tested at two points in the menstrual cycle that differed maximally in conception risk. No cyclic changes in preferences were found. We consider implications for the sexual selection of variation in preferences across the menstrual cycle.

Patient deterioration education: Evaluation of face-to-face simulation and e-simulation approaches

Background: Simulation-based education is one strategy that may be used to teach nursing students to recognize and manage patient deterioration. Method: Final-year preregistration nursing students (n=97) completed three face-to-face laboratory-based team simulations with a simulated patient (actor) and 330 students individually completed a three-scenario Web-based simulation program: FIRST2ACTWeb™. Results: Both groups achieved moderate performance scores (means: face to face, 49%; e-simulation, 69%). Course evaluations were positive, skill gain showing a greater effect size in the face-to-face program than for e-simulation, and higher satisfaction and more positive appraisal. Conclusion: Face-to-face simulation and e-simulation are effective educational strategies with e-simulation offering greater feasibility. Either strategy is likely to add value to the learning experience.

Lecturing and other face-to-face teaching – too much or too little? An assessment based on student feedback and fail rates

Institutes of higher learning are tending to reduce the amount of face-to-face teaching that they offer, and particularly through the traditional pedagogical method of lecturing. There is ongoing debate about the educational value of lectures as a teaching approach, in terms of both whether they facilitate understanding of subject material and whether they augment the student educational experience. In this study, student evaluation of teaching scores plus academic outcome (percentage of students who fail) was assessed for 236 course units offered by a science faculty at an Australian university over the course of one year. These measures were related to the degree to which lectures and other face-to-face teaching were used in these units, controlling for factors such as class size, school and year level. An information-theoretic model selection approach was employed to identify the best models and predictors of student assessments and fail rates. All the top models of student feedback included a measure reflecting amount of face-to-face teaching, with the evaluation of quality of teaching being higher in units with higher proportions of lectures. However, these models explained only 12–20% of the variation in student evaluation scores, suggesting that many other factors come into play. By contrast, units with fewer lectures have lower failure rates. These results suggest that moving away from lectures and face-to-face teaching may not harm, and indeed may improve the number of students who pass the subject, but that this may be incurred at the expense of greater dissatisfaction in students' learning experience.

Impact and significance of the 2016 ‘Campaign to change the male face of Parliament’ in Iran

Iranian women have never represented more than 5.9% of sittingparliamentarians in the Islamic Republic of Iran. This compares poorlywith relevant regional and global averages. In the lead up to the 2016parliamentary elections, the women’s movement took action to address thelow representation of women in the legislature by launching the ‘Campaignto Change the Male Face of Parliament’. The Campaign did not reach its goalof achieving 50 seats for women in the 2016–2020 Parliament. It was alsosubject to some criticism for effectively (or apparently) legitimising whatmany women view as a broken form of government unable to promote andprotect women’s rights in any meaningful sense. However, the Campaignwas an important exercise in democracy and had significant higher-orderimpacts on voter behaviour and women’s capacities. Through personalcommunication with three Campaign activists, this profile provides anauthoritative account of the Campaign experience and its impact andsignificance for the future of women’s empowerment in Iran.

Assessing the case for mandatory folate fortification : policy-making in the face of scientific uncertainties

This paper presents the view that policymakers face scientific uncertainties in assessing the case for mandatory folate fortification as a policy response to epidemiological evidence of the relationship between folate and neural tube defects. Moreover, the resolution of these uncertainties is confounded by the under-resourced state of nutrition information systems in Australia and New Zealand. The uncertainties relate to potential risks and benefits associated with the intervention for the target group and the population in general. These risks and benefits reflect the mismatch between evidence and policy that arises when addressing a presumed genetic abnormality in at-risk individuals with an intervention that is population-wide in its scope. There is an urgent need to conduct ongoing national nutrition surveys and monitor and evaluate policy interventions to strengthen the capacity of nutrition information systems to inform decision-making for this current, and future, public health nutrition policy.

One to one eMarketing strategy alignment: five internet case studies

Despite widespread adoption of new online business models and the rise of online or eMarketing using the Internet (Net) and its current graphical face the World Wide Web (Web), there remains a need for empirical research into specific aspects of eMarketing strategy beyond clickthrough analysis, Web audience analysis and scrutiny of Websites properties to mention the most widely examined elements. This paper discusses Peppers and Rogers (1999) OnetoOne strategy matrix and synthesises their approach with a series of personal interviews with business managers, drawn from a broader empirical study. It does so in an endeavour to improve outcomes from eMarketing strategy and the use of individual Net technologies. The aim is to aid both business practitioner and academician alike in further improving the effectiveness and efficiency gained from using converging technologies in eBusiness.

To post or not to post : undergraduate student perceptions about participating in online discussions

Computer mediated conferencing (CMC) is now a common feature of blended learning environments where students learn in both face to face and online settings. While many teachers recognize the value of online discussions for learning, students appear to have different perspectives. Consequently, their participation in online discussions is often sporadic and not genuinely interactive. This paper examines these issues and provides student perspectives about participation in online discussions which arose from a case study in a conceptually difficult subject. Systems data indicated low numbers of posted messages. Student interviews provide some insights into this lack of participation, and identify the influence of the curriculum design, especially the nature of the learning activity, and its connection to other aspects of the course, for example, assessment and the regular class sessions. Other influential factors include the student’s ideas about learning, managing demands on their time and their acceptance of CMC. The paper also provides recommendations for improving participation in online discussions.