Associating characters with events in films

The work presented here combines the analysis of a film's audiovisual features with the analysis of an accompanying audio description. Specifically, we describe a technique for semantic-based indexing of feature films that associates character names with meaningful events. The technique fuses the results of event detection based on audiovisual features with the inferred on-screen presence of characters, based on an analysis of an audio description script. In an evaluation with 215 events from 11 films, the technique performed the character detection task with Precision = 93% and Recall = 71%. We then go on to show how novel access modes to film content are enabled by our analysis. The specific examples illustrated include video retrieval via a combination of event-type and character name and our first steps towards visualization of narrative and character interplay based on characters occurrence and co-occurrence in events

Portable extraction of partially structured facts from the web

A novel fact extraction task is defined to fill a gap between current information retrieval and information extraction technologies. It is shown that it is possible to extract useful partially structured facts about different kinds of entities in a broad domain, i.e. all kinds of places depicted in tourist images. Importantly the approach does not rely on existing linguistic resources (gazetteers, taggers, parsers, etc.) and it ported easily and cheaply between two very different languages (English and Latvian). Previous fact extraction from the web has focused on the extraction of structured data, e.g. (Building-LocatedIn-Town). In contrast we extract richer and more interesting facts, such as a fact explaining why a building was built. Enough structure is maintained to facilitate subsequent processing of the information. For example, this partial structure enables straightforward template-based text generation. We report positive results for the correctness and interest of English and Latvian facts and for the utility of the extracted facts in enhancing image captions

Analyzing image-text relations for semantic media adaptation and personalization

Progress in semantic media adaptation and personalisation requires that we know more about how different media types, such as texts and images, work together in multimedia communication. To this end, we present our ongoing investigation into image-text relations. Our idea is that the ways in which the meanings of images and texts relate in multimodal documents, such as web pages, can be classified on the basis of low-level media features and that this classification should be an early processing step in systems targeting semantic multimedia analysis. In this paper we present the first empirical evidence that humans can predict something about the main theme of a text from an accompanying image, and that this prediction can be emulated by a machine via analysis of low- level image features. We close by discussing how these findings could impact on applications for news adaptation and personalisation, and how they may generalise to other kinds of multimodal documents and to applications for semantic media retrieval, browsing, adaptation and creation

Constructions: a new unit of analysis for corpus-based discourse analysis

We propose and assess the novel idea of using automatically induced constructions as a unit of analysis for corpus-based discourse analysis. Automated techniques are needed in order to elucidate important characteristics of corpora for social science research into topics, framing and argument structures. Compared with cur-rent techniques (keywords, n-grams, and collo-cations), constructions capture more linguistic patterning, including some grammatical phe-nomena. Recent advances in natural language processing mean that it is now feasible to auto-matically induce some constructions from large unannotated corpora. In order to assess how well constructions characterise the content of a corpus and how well they elucidate interesting aspects of different discourses, we analysed a corpus of climate change blogs. The utility of constructions for corpus-based discourse analy-sis was compared qualitatively with keywords, n-grams and collocations. We found that the unusually frequent constructions gave interest-ing and different insights into the content of the discourses and enabled better comparison of sub-corpora.

Automated annotation of landmark images using community contributed datasets and web resources

A novel solution to the challenge of automatic image annotation is described. Given an image with GPS data of its location of capture, our system returns a semantically-rich annotation comprising tags which both identify the landmark in the image, and provide an interesting fact about it, e.g. "A view of the Eiffel Tower, which was built in 1889 for an international exhibition in Paris". This exploits visual and textual web mining in combination with content-based image analysis and natural language processing. In the first stage, an input image is matched to a set of community contributed images (with keyword tags) on the basis of its GPS information and image classification techniques. The depicted landmark is inferred from the keyword tags for the matched set. The system then takes advantage of the information written about landmarks available on the web at large to extract a fact about the landmark in the image. We report component evaluation results from an implementation of our solution on a mobile device. Image localisation and matching oers 93.6% classication accuracy; the selection of appropriate tags for use in annotation performs well (F1M of 0.59), and it subsequently automatically identies a correct toponym for use in captioning and fact extraction in 69.0% of the tested cases; finally the fact extraction returns an interesting caption in 78% of cases

Enhancing health literacy through co-design: development of culturally appropriate materials on genetic risk and customary consanguineous marriage

Aim: To develop a simple health literacy intervention aimed at supporting informed reproductive choice among members of UK communities practising customary consanguineous marriage. Background: The contribution of ‘health literacy’ to reducing health inequalities and improving primary healthcare efficiency is increasingly recognised. Enhancing genetic literacy has received particular attention recently. Consanguineous marriage is customarily practised among some UK minority ethnic communities and carries some increased risk of recessive genetic disorders among offspring compared to unions among unrelated partners. The need to enhance genetic literacy on this issue has been highlighted, but no national response has ensued. Instead, a range of undocumented local responses are emerging. Important knowledge gaps remain regarding how the development and implementation of culturally appropriate, effective and sustainable responses can be achieved. Methods: Our co-design approach involved active participation by local people. Initial insight generation employed six focus group discussions and 14 individual interviews to describe current understandings and information needs. Eleven personas (heuristic narrative portraits of community ‘segments’) resulted. Four participatory workshops provided further understanding of: preferred information channels; feasible information conveyance; and responses to existing materials. Prototype information resources were then developed and feedback gathered via two workshops. Following further refinement, final feedback from healthcare professionals and community members ensured accuracy and appropriateness. Findings: The project demonstrated the utility of co-design for addressing an issue often considered complex and sensitive. With careful planning and orchestration, active participation by diverse community members was achieved. Key learning included: the importance of establishing trusting and respectful relationships; responding to diversity within the community; and engendering a creative and enjoyable experience. The resultant materials were heavily shaped by local involvement. Evaluative work is now needed to assess impacts on knowledge and service uptake. Longer term sustainability will depend on whether innovative community-level work is accompanied by broader strategy including investment in services and professional development

Representations of the future in English language blogs on climate change

This paper investigates how the notion of future is represented in a large corpus of English-language blogs related to climate change, with an overarching interest in exploring to what extent the perspectives of gloom-and-doom versus more positive perspectives of a sustainable society are represented. We address the following questions: (1) How are representations of the future expressed linguistically in public debates related to climate change? (2) What meanings do the representations convey? Our principal contribution is a set of nine meaning categories that characterize different representations of the future: the categories were derived by following a corpus-assisted discourse analysis approach. Within these categories, the large presence of characterisations related to sustainability, as well as frequent positive value-laden characterisations, are noteworthy. Representa- tions reflect various perspectives of a future for humanity, for nature, and for countries as well as for economies. Further, we have found that when climate change is viewed as a threat, it is in relation to nature, humans and security, while it is seen as an opportunity for growth in business and industry. The results provide knowledge on how people conceive the possible impacts of global climate and environmental change within two broad perspectives of a ‘‘gloom-and-doom’’ versus a ‘‘bright’’ future. This may contribute to an improved basis for political decision making on measures in order to avoid dangerous consequences as well as to encourage engagement in the shift toward a low-carbon future.acceptedVersio

Targeting the use of reminders and notifications for uptake by populations (TURNUP): a systematic review and evidence synthesis.

Background: Missed appointments are an avoidable cost and a resource inefficiency that impact on the health of the patient and treatment outcomes. Health-care services are increasingly utilising reminder systems to counter these negative effects. Objectives: This project explores the differential effect of reminder systems for different segments of the population for improving attendance, cancellation and rescheduling of appointments. Design: Three inter-related reviews of quantitative and qualitative evidence relating to theoretical explanations for appointment behaviour (review 1), the effectiveness of different approaches to reminding patients to attend health service appointments (review 2) and factors likely to influence non-attendance (review 3). Data sources: Database searches were conducted on Allied and Complementary Medicine, Cumulative Index to Nursing and Allied Health Literature Plus with Full Text, The Cochrane Library, EMBASE (via NHS Evidence from 1 January 2000 to January/February 2012), Health Management Information Consortium database, Institute of Electrical and Electronics Engineers Xplore, The King’s Fund Library Catalogue, Maternity and Infant Care, MEDLINE, Physiotherapy Evidence Database, PsycINFO, SPORTDiscus and Web of Science from 1 January 2000 to January/February 2012. Supplementary screening of references of included studies was conducted to identify additional potentially relevant studies. Conceptual papers were identified for review 1, randomised controlled trials (RCTs) and systematic reviews for review 2 and a range of quantitative and qualitative research designs for review 3. Methods: We conducted three inter-related reviews of quantitative and qualitative evidence, involving a review of conceptual frameworks of reminder systems and adherence behaviours, a review of the reminder effectiveness literature and a review informed by realist principles to explain the contexts and mechanisms that explain reminder effectiveness. A preliminary conceptual framework was developed to show how reminder systems work, for whom they work and in which circumstances. Six themes emerged that potentially influence the effectiveness of the reminder or whether or not patients would attend their appointment, namely the reminder–patient interaction, reminder accessibility, health-care settings, wider social issues, cancellation and rebookings, and distal/proxy attributes. Standardised review methods were used to investigate the effectiveness of reminders to promote attendance, cancellation or rebooking across all outpatient settings. Finally, a review informed by realist principles was undertaken, using the conceptualframework to explain the context and mechanisms that influence how reminders support attendance, cancellation and rebooking. Results: A total of 466 papers relating to 463 studies were identified for reviews 2 and 3. Findings from 31 RCTs and 11 separate systematic reviews (review 2 only) revealed that reminder systems are consistently effective at reducing non-attendance at appointments, regardless of health-care setting or patient subgroups. Simple reminders that provide details of timing and location of appointments are effective for increasing attendance at appointments. Reminders that provide additional information over and above the date, time and location of the appointment (‘reminder plus’) may be more effective than simple reminders at reducing non-attendance and may be particularly useful for first appointments and screening appointments; simple reminders may be appropriate thereafter for most patients the majority of the time. There was strong evidence that the timing of reminders, between 1 and 7 days prior to the appointment, has no effect on attendance; substantial numbers of patients do not receive their reminder; reminders promote cancellation of appointments; inadequate structural factors prevent patients from cancelling appointments; and few studies investigated factors that influence the effectiveness of reminder systems for population subgroups. Limitations: Generally speaking, the systematic review method seeks to provide a precise answer to a tightly focused question, for which there is a high degree of homogeneity within the studies. A wide range of population types, intervention, comparison and outcomes is included within the RCTs we identified. However, use of this wider approach offers greater analytical capability in terms of understanding contextual and mechanistic factors that would not have been evident in a more narrowly focused review and increases confidence that the findings will have relevance in a wide range of service settings. Conclusions: Simple reminders or ‘reminder plus’ should be sent to all patients in the absence of any clear contraindication. Other reminder alternatives may be relevant for key groups of patients: those from a deprived background, ethnic minorities, substance abusers and those with comorbidities and/or illnesses. We are developing a practice guideline that may help managers to further tailor their reminder systems for their service and client groups. We recommend future research activities in three main areas. First, more studies should routinely consider the potential for differential effects of reminder systems between patient groups in order to identify any inequalities and remedies. Second, ‘reminder plus’ systems appear promising, but there is a need for further research to understand how they influence attendance behaviour. Third, further research is required to identify strategies to ‘optimise’ reminder systems and compare performance with current approaches

Appointment reminder systems are effective but not optimal: results of a systematic review and evidence synthesis employing realist principles

Missed appointments are an avoidable cost and resource inefficiency which impact upon the health of the patient and treatment outcomes. Healthcare services are increasingly utilizing reminder systems to manage these negative effects. This study explores the effectiveness of reminder systems for promoting attendance, cancellations and rescheduling of appointments across all healthcare settings and for particular patient groups and the contextual factors which indicate that reminders are being employed sub-optimally. We used three inter-related reviews of quantitative and qualitative evidence. Firstly, using pre-existing models and theories, we developed a conceptual framework to inform our understanding of the Contexts and Mechanisms which influence reminder effectiveness. Secondly, we performed a review following Centre for Reviews & Dissemination (CRD) guidelines to investigate the effectiveness of different methods of reminding patients to attend health service appointments. Finally, to supplement the effectiveness information, we completed a review informed by realist principles to identify factors likely to influence non-attendance behaviors and the effectiveness of reminders. We found consistent evidence that all types of reminder systems are effective at improving appointment attendance across a range of health care settings and patient populations. Reminder systems may also increase cancellation and rescheduling of unwanted appointments. “Reminders plus”, which provide additional information beyond the reminder function, may be more effective than simple reminders at reducing non-attendance at appointments in particular circumstances. We identified six areas of inefficiency which indicate that reminder systems are being used sub-optimally. Unless otherwise indicated, all patients should receive a reminder to facilitate attendance at their healthcare appointment. The choice of reminder system should be tailored to the individual service. To optimize appointment and reminder systems, healthcare services need supportive administrative processes to enhance attendance, cancellation, rescheduling and re-allocation of appointments to other patients

Remembering and Communicating Climate Change Narratives – The Influence of World Views on Selective Recollection

We examine how people remember stories about climate change and how they communicate these stories to others. Drawing on theories of reconstructive memory and cultural theory, we assume that recollection is systematically affected by an individual’s world view as well as by the world view of the target audience. In an experimental study with a Norwegian representative sample (N = 266), participants read a story about three politicians, in which each protagonist was described as holding a specific world view and as trying to tackle climate change with a corresponding strategy (individualistic/free market oriented, hierarchical/technology-oriented, or egalitarian/sustainability-oriented). After 1 day and then after 1 week, participants were asked to retell the story as if to somebody who was characterized as being either an individualist, a hierarchist, or an egalitarian; in addition, a neutral recall control condition without a specified audience was included. Participants’ own world view was assessed and they were classified as endorsing individualism, or hierarchism, or egalitarianism. We hypothesized that retellings would be selectively reconstructed according to the world view of the participant, as well as tuned to the audience’s world view. We assessed the cognitive structure of the recollected story, and, using methods from computational text analysis, we computed similarities among retellings and the original narrative, and among retellings and world views. Results suggest that (i) retellings become less accurate over time, (ii) retelling to an audience with an explicit world view leads to more strongly filtered retellings than recalling without a specified audience, but the filter operates in a non-specific manner with respect to world views, (iii) the cognitive structure of the recollected story shows small but systematic differences concerning the link between story problem and solution as a function of the participant’s and the audience’s world view. No interaction was found between the world view of the participant and that of the audience. Results emphasize the role of world views in communicating climate change, and might help to better understand phenomena such as polarization and echo chamber effects