MyPlaces: detecting important settings in a visual diary

We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting detection should be capable of detecting images captured at the same real world locations (e.g. in the dining room at home, in front of the computer in the office, in the park, etc.). This requires the selection and implementation of suitable methods to identify visually similar backgrounds in images using their visual features. We use a Bag of Keypoints approach. This method is based on the sampling and subsequent vector quantization of multiple image patches. The image patches are sampled and described using Scale Invariant Feature Transform (SIFT) features. We compare two different classifiers, K Nearest Neighbour and Multiclass Linear Perceptron, and present results for classifying ten different settings across one week’s worth of images. Our results demonstrate that the method produces good classification accuracy even without exploiting geometric or context based information. We also describe an early prototype of a visual diary browser that integrates the classification results

Keyframe detection in visual lifelogs

The SenseCam is a wearable camera that passively captures images. Therefore, it requires no conscious effort by a user in taking a photo. A Visual Diary from such a source could prove to be a valuable tool in assisting the elderly, individuals with neurodegenerative diseases, or other traumas. One issue with Visual Lifelogs is the large volume of image data generated. In previous work we spit a day's worth of images into more manageable segments, i.e. into distinct events or activities. However, each event coud stil consist of 80-100 images. thus, in this paper we propose a novel approach to selecting the key images within an event using a combination of MPEG-7 and Scale Invariant Feature Transform (SIFT) features

Group and individual time management tools: what you get is not what you need

Some studies of diaries and scheduling systems have considered how individuals use diaries with a view to proposing requirements for computerised time management tools. Others have focused on the criteria for success of group scheduling systems. Few have paid attention to how people use a battery of tools as an ensemble. This interview study reports how users exploit paper, personal digital assistants (PDAs) and a group scheduling system for their time management. As with earlier studies, we find many shortcomings of different technologies, but studying the ensemble rather than individual tools points towards a different conclusion: rather than aiming towards producing electronic time management tools that replace existing paper-based tools, we should be aiming to understand the relative strengths and weaknesses of each technology and look towards more seamless integration between tools. In particular, the requirements for scheduling and those for more responsive, fluid time management conflict in ways that demand different kinds of support

Collecting Data from Children Ages 9-13

Provides a summary of literature on common methods used to collect data, such as diaries, interviews, observational methods, and surveys. Analyzes age group-specific considerations, advantages, and drawbacks, with tips for improving data quality

Perceptual impairment in face identification with poor sleep

Previous studies have shown impaired memory for faces following restricted sleep. However, it is not known whether lack of sleep impairs performance on face identification tasks that do not rely on recognition memory, despite these tasks being more prevalent in security and forensic professions—for example, in photo-ID checks at national borders. Here we tested whether poor sleep affects accuracy on a standard test of face-matching ability that does not place demands on memory: the Glasgow Face-Matching Task (GFMT). In Experiment 1, participants who reported sleep disturbance consistent with insomnia disorder show impaired accuracy on the GFMT when compared with participants reporting normal sleep behaviour. In Experiment 2, we then used a sleep diary method to compare GFMT accuracy in a control group to participants reporting poor sleep on three consecutive nights—and again found lower accuracy scores in the short sleep group. In both experiments, reduced face-matching accuracy in those with poorer sleep was not associated with lower confidence in their decisions, carrying implications for occupational settings where identification errors made with high confidence can have serious outcomes. These results suggest that sleep-related impairments in face memory reflect difficulties in perceptual encoding of identity, and point towards metacognitive impairment in face matching following poor sleep

Student health professionals' attitudes and experience after watching 'Ida's diary', a first-person account of living with borderline personality disorder:mixed methods study

BACKGROUND: There is increasing interest in the use of commercial movies in nursing education, or 'cinenurducation'. There is a need for educational interventions which target mental health nurses' attitudes towards people with borderline personality disorder.OBJECTIVES: To investigate and evaluate the experience and effects of attendance at a screening of the movie Ida’s Diary, a first-person account of living with borderline personality disorder.DESIGN: Mixed methods design comprising a within-subjects AB longitudinal survey, and a qualitative analysis of participant-generated data and researcher field notes from a World Ca-fé discussion group.SETTINGS: One university in Scotland.PARTICIPANTS: N=66 undergraduate and postgraduate mental health nursing and coun-selling students.METHODS: Participants completed measures of cognitive and emotional attitudes towards, and knowledge about, people with borderline personality disorder before and after one of two film screenings. We conducted a World Café discussion group after the second screen-ing. Resulting data were subject to a qualitative thematic analysis.RESULTS: Quantitative analysis revealed a five-factor cognitive and a single-factor emo-tional attitude structure. Cognitive-attitudinal items related to treatment deservingness and value of mixed treatment approaches improved across iterations. Total knowledge score did not change, but one item about borderline personality disorder as a precursor to schizophrenia received considerably more incorrect endorsement post-screening. Qualitative analysis re-vealed five themes: Facilitation and inhibition of learning; promotion but not satiation of appe-tite for knowledge; challenging existing understanding; prompting creativity and anxiety; and initiating thinking about the bigger picture.CONCLUSIONS: Participants found the film thought provoking; it increased their appetite for knowledge. Findings suggest that screening should be delivered in conjunction with more didactic information about borderline personality disorder

Investigating alcohol consumption during pregnancy for the prevention of Fetal Alcohol Spectrum Disorders (FASD)

The term FASD (Fetal Alcohol Spectrum Disorders) is used to describe the entire spectrum of pathologies and disorders caused by alcohol exposure in uterus. Alcohol assumed in pregnancy passes directly through the placental barrier causing a broad range of symptoms whose severity can greatly vary in degree. The alcohol teratogenic effect may result in physical damage and specific facial anomalies, growth delays, neurological defects along with intellectual disabilities and behavioral problems. Children affected show difficulties in verbal learning, memory, visual-spatial abilities, attention, logic and math abilities, information processing, executive functions as well as in many other domains and in general coping with daily life. Total abstention from alcohol during pregnancy is strongly recommended, as a safe threshold of consumption has not been established yet. Hence, the early identification of alcohol consumption in pregnancy is crucial. Specific methodologies to overcome difficulties related to the identification of alcohol behavior in pregnant women are needed and intervention protocols should be implemented to prevent damage in offsprings. This paper gives an overview on this pathology, from clinical delineation to epidemiology and risk factors with a special focus to promote alcohol-free pregnanc

xDelia final report: emotion-centred financial decision making and learning

xDelia is a 3-year pan-European project building on the knowledge, skills, and competences of seven partner organisations from a variety of research disciplines and from business. The principal objective of xDelia is to develop technology-enhanced learning approaches that help improve the financial decision making of investors who trade frequently using an electronic trading platform. We focus on emotions, and how they affect maladaptive decision biases and trading performance. Our earlier field work with traders has shown that the development of emotion regulation skills is a key facet of trader expertise. For that reason we consider expert traders our benchmark for adaptive behaviour rather than normative rationality. Our goal is to provide investors with the tools and techniques to develop greater self-awareness of internal states, increase their ability to reflect critically on emotion-informed choices, develop emotion management skills, and support the transfer of these skills to the real-world practice setting of financial trading. This report provides a comprehensive overview of what xDelia is about and what we have achieved over the life of the project. In the sections that follow, we explain the decision problems investors are faced with in a fast paced environment and the limitations of traditional approaches to reduce cognitive errors; introduce an alternative, technology-enhanced learning approach of diagnosis and feedback, skill development, and transfer; describe the learning intervention comprising twelve autonomous learning elements that we have developed; and present evidence from thirty-five studies we have conducted on learning effects and stakeholder acceptance

Social encounter networks : characterizing Great Britain

A major goal of infectious disease epidemiology is to understand and predict the spread of infections within human populations, with the intention of better informing decisions regarding control and intervention. However, the development of fully mechanistic models of transmission requires a quantitative understanding of social interactions and collective properties of social networks. We performed a cross-sectional study of the social contacts on given days for more than 5000 respondents in England, Scotland and Wales, through postal and online survey methods. The survey was designed to elicit detailed and previously unreported measures of the immediate social network of participants relevant to infection spread. Here, we describe individual-level contact patterns, focusing on the range of heterogeneity observed and discuss the correlations between contact patterns and other socio-demographic factors. We find that the distribution of the number of contacts approximates a power-law distribution, but postulate that total contact time (which has a shorter-tailed distribution) is more epidemiologically relevant. We observe that children, public-sector and healthcare workers have the highest number of total contact hours and are therefore most likely to catch and transmit infectious disease. Our study also quantifies the transitive connections made between an individual's contacts (or clustering); this is a key structural characteristic of social networks with important implications for disease transmission and control efficacy. Respondents' networks exhibit high levels of clustering, which varies across social settings and increases with duration, frequency of contact and distance from home. Finally, we discuss the implications of these findings for the transmission and control of pathogens spread through close contact

Cultural Engagement in California's Inland Regions

Cultural Engagement in California's Inland Regions explores patterns of cultural engagement in the San Joaquin Valley and the Inland Empire. Two major data collection efforts were undertaken. The first was a door-to-door intercept survey of more than 1,000 randomly selected households in six distinctly different neighborhoods, three in the Fresno area and three in Riverside and San Bernardino. The second was a self-administered survey of more than 5,000 residents of the two regions, promoted as the "California Cultural Census" and conducted online and through intercept work at various locations and events. It is important to note that this second data set aggregates multiple samples, including respondents who were selected at the convenience of outreach organizations. Although weighted to reduce potential biases, these data are not representative of all adults in the two regions. Results paint a detailed picture of the breadth and depth of cultural engagement in the two regions and reveal a range of activity in music, theater and drama, reading and writing, dance, and visual arts and crafts -- much of which occurs off the radar" of the traditional infrastructure of nonprofit arts organizations and facilities. The study identifies specific types of activities which, if supported at higher levels, might equitably raise participation levels and achieve higher levels of cultural vitality in millions of homes and hundreds of communities. It concludes that cultural providers and funders should look deeper into the fabric of their communities for new partners, new settings and innovative approaches to drawing residents into cultural experiences. This briefing provides a high level summary of the study's key findings, as well as discussion questions for cultural providers and funders. Comprehensive results are available at www.irvine.org, including an executive summary and detailed results by artistic discipline