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The purpose of this study is to present a depth information-based solution for automatic camera control, depending on the presenter’s moving positions. Talks, presentations and lectures are often captured on video to give a broad audience the possibility to (re-)access the content. As presenters are often moving around during a talk, it is necessary to steer recording cameras.

We use depth information from Kinect to implement a prototypical application to automatically steer multiple cameras for recording a talk.

We present our experiences with the system during actual lectures at a university. We found out that Kinect is applicable for tracking a presenter during a talk robustly. Nevertheless, our prototypical solution reveals potential for improvements, which we discuss in our future work section.

Tracking a presenter is based on a skeleton model extracted from depth information instead of using two-dimensional (2D) motion- or brightness-based image processing techniques. The solution uses a scalable networking architecture based on publish/subscribe messaging for controlling multiple video cameras.

Technological innovation has made it possible to review how a film cues particular reactions on the part of the viewers. The purpose of this paper is to capture and interpret visual perception and attention by the simultaneous use of eye tracking and electroencephalography (EEG) technologies.

The authors have developed a method for joint analysis of EEG and eye tracking. To achieve this goal, an algorithm was implemented to capture and interpret visual perception and attention by the simultaneous use of eye tracking and EEG technologies. All parameters have been measured as a function of the relationship between the tested signals, which, in turn, allowed for a more accurate validation of hypotheses by appropriately selected calculations.

The results of this study revealed a coherence between EEG and eye tracking that are of particular relevance for human perception.

This paper endeavors both to capture and interpret visual perception and attention by the simultaneous use of eye tracking and EEG technologies. Eye tracking provides a powerful real-time measure of viewer region of interest. EEG technologies provides data regarding the viewer’s emotional states while watching the movie.

The approach in this paper is distinct from similar studies because it takes into account the integration of the eye tracking and EEG technologies. This paper provides a method for determining a fully functional video introspection system.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

Purpose – Despite an abundance of literature on the effects of copyright infringement on music consumption, empirical evidence remains ambiguous. The aim of this chapter is to quantify the effect of copyright infringement on recorded music purchases and live music attendance for Spanish frequent music consumers, and to measure its effect on participation for all music consumers.

Design/methodology approach – We rely on survey data for the Spanish population as our main information source and use propensity score matching to estimate the average effect of copyright infringement on music consumption. In order to do so, the methodology aims at estimating the difference between actual outcomes (record purchases or attendance to live concerts) for copyright infringers and the (counterfactual) outcome would they had not been infringers.

Findings – Two findings stand out. First, and with regards to recorded music consumption, we find a net positive effect of copyright infringement on full album purchases although a nonsignificant one for tracks. Second, there is a positive and significant effect on live attendance, which is consistent with an indirect appropriation effect across products. These results are robust when participation is considered, but some interesting differences arise between recorded music purchasers and live concerts attenders.

Originality/value – First, the use of a counterfactual control group provides an additional approach to the assessment of copyright infringement. Second, within the same framework we investigate the effects of copyright infringement on recorded and live music, an approach that sheds some light on the degree of complementarity between both markets.

The purpose of this paper is to present a systematic literature review of the application of eye-tracking technology within the field of library and information science. Eye-tracking technology has now reached a level of maturity, which makes the use of the technology more accessible. Subsequently, a growing interest in employing eye tracking as a methodology within library and information science research must be anticipated.

The review follows the guidelines set in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations. Two reference databases are searched for relevant references: Library and Information Science Abstracts and Library, Information Science and Technology Abstracts. The main selection criteria are peer-reviewed literature that describes the experimental setting, including which eye-tracking equipment was used, the number of test persons and reports on the eye-tracking measures. Furthermore, this study will report which other methods were applied in combination with eye tracking.

The number of published research utilizing eye-tracking technologies within library and information science (LIS) is still limited although an increase in the use of eye-tracking technologies is observed during recent years.

To the knowledge of the author, this is the first systematic review on eye-tracking technology and application in LIS.

Tracking electronic journals to collect usage statistics is not an easy task. E‐journal publishers and aggregators are using various standards to create e‐journal usage reports. This situation has created many problems for libraries that use those reports. For e‐journal collection development, it is essential for libraries to know exactly who is using their e‐journals, how often their e‐journals are being used, and how their e‐journals are being accessed. Although several methods have been used in the library community, this article focuses on a method cooperatively developed by the cataloging department and the office of libraries technology at the University of Louisville to take control of collecting and generating e‐journal usage statistics. This method involves the use of a CGI script, AXS shareware. The success of this method in fact is built on cooperative efforts between the two departments.

This study aims to develop a framework for the management of medical records in support of health-care service delivery in the hospitals in the Limpopo province of South Africa.

The study was predominantly quantitative and has used the questionnaires, system analysis, document analysis and observation to collect data in 40 hospitals of Limpopo province. The sample of 49 per cent (306) records management officials were drawn out of 622 (100 per cent) total population. The response rate was 71 per cent (217) out of the entire sample.

The study discovered that a framework for management of medical records in the public hospitals is not in place because of several reasons and further demonstrates that public health-care institutions need an integrative framework for the proper management of medical records of all forms and in all media.

The study develops and suggests a framework to embed medical records management into the health-care service delivery workflow for effective records management and ease of access. It is hoped that such a framework will help hospitals in South Africa and elsewhere to improve their medical records management to support health-care service provision.

It's been three years since my previous survey in RSR. Superb reference books in pop music have been appearing so frequently that I've been having trouble keeping up. Let's hope “next year's” survey will only be 12 months in the making and not 36.

Films Aid Machine Design. A Scottish firm of laundry engineers has perfected a system of film records as the basis on which machine design can be considered, and reports that the policy has been fully justified by results. Film records are made of a competent operator using a machine in her own manner using her own technique; this record is analysed and used as the basis of criticism from which to start building an improved unit. Slow‐motion projection allows time and motion analysis over a period of weeks when potential alterations in the technique and layout are considered.

To understand the meaning of a sentence, humans can focus on important words in the sentence, which reflects our eyes staying on each word in different gaze time or times. Thus, some studies utilize eye-tracking values to optimize the attention mechanism in deep learning models. But these studies lack to explain the rationality of this approach. Whether the attention mechanism possesses this feature of human reading needs to be explored.

The authors conducted experiments on a sentiment classification task. Firstly, they obtained eye-tracking values from two open-source eye-tracking corpora to describe the feature of human reading. Then, the machine attention values of each sentence were learned from a sentiment classification model. Finally, a comparison was conducted to analyze machine attention values and eye-tracking values.

Through experiments, the authors found the attention mechanism can focus on important words, such as adjectives, adverbs and sentiment words, which are valuable for judging the sentiment of sentences on the sentiment classification task. It possesses the feature of human reading, focusing on important words in sentences when reading. Due to the insufficient learning of the attention mechanism, some words are wrongly focused. The eye-tracking values can help the attention mechanism correct this error and improve the model performance.

Our research not only provides a reasonable explanation for the study of using eye-tracking values to optimize the attention mechanism but also provides new inspiration for the interpretability of attention mechanism.