101,282 research outputs found
Evaluating Engagement in Digital Narratives from Facial Data
Engagement researchers indicate that the engagement level of people in a narrative has an influence on people's subsequent story-related attitudes and beliefs, which helps psychologists understand people's social behaviours and personal experience. With the arrival of multimedia, the digital narrative combines multimedia features (e.g. varying images, music and voiceover) with traditional storytelling. Research on digital narratives has been widely used in helping students gain problem-solving and presentation skills as well as supporting child psychologists investigating children's social understanding such as family/peer relationships through completing their digital narratives. However, there is little study on the effect of multimedia features in digital narratives on the engagement level of people.
This research focuses on measuring the levels of engagement of people in digital narratives and specifically on understanding the media effect of digital narratives on people's engagement levels. Measurement tools are developed and validated through analyses of facial data from different age groups (children and young adults) in watching stories with different media features of digital narratives. Data sources used in this research include a questionnaire with Smileyometer scale and the observation of each participant's facial behaviours
Measuring the 'success' of telehealth interventions
Despite substantial investment over recent years in telehealth there appears to be little consensus regarding what a successful implementation should achieve. However, defining success is often controversial and complex due to differing views from the large number of stakeholders involved, the local environment where telehealth is deployed and the scope, or size, of any planned initiative. Nevertheless, a number of generic measures are proposed in this paper which then provides a framework for the measurement of success. The local context can then be applied to determine the exact emphasis on specific measures, but it is proposed that all of the measures should be included in the holistic measurement of success. Having considered what constitutes success attention is then given to how success should be quantified. Robust evaluation is fundamental and there is much debate as to whether the �gold standard� Randomised Control Trial (RCT) is the most appropriate methodology for telehealth. If the intervention, technology and system, can be maintained in a stable state then the RCT may well provide the most authoritative evidence for decision makers. However, ensuring such stability, in what is still a novel combination of technology and service, is difficult and consequently other approaches may be more appropriate when stability is unlikely to be maintained
Investing in Impact: Media Summits Reveal Pressing Needs, Tools for Evaluating Public Interest Media
Outlines the case for assessing the impact of public interest media projects, impact evaluation needs, and five new assessment tools, including a unified social media dashboard, model formats and processes to communicate outcomes, and common survey tools
Exploring the impact of user involvement on health and social care services for cancer in the UK.
This report presents the findings from a study of cancer network partnership groups in the UK. Cancer network partnership groups are regional organisations set up to enable joint working between people affected by cancer and health professionals, with the aim of improving cancer care
Analysis of the gamification applications to improve the energy savings in residential buildings
This paper proposes a set of metrics to evaluate and compare applications in a new but quickly developing field – energy management software (EMS) in residential buildings. The goal of the paper is to highlight tendencies and to detect drawbacks of pre sent applications to develop a new one taking into account the results of previous analysis. It shows a shortlist of applications examined. Provides the conclusion drawing to the metrics and proposes mai n issues to be considered in the development of a new application.Peer ReviewedPostprint (author's final draft
The Australian Research Quality Framework: A live experiment in capturing the social, economic, environmental, and cultural returns of publicly funded research
Copyright @ 2008 Wiley Periodicals Inc. This is the accepted version of the following article: Donovan, C. (2008), The Australian Research Quality Framework: A live experiment in capturing the social, economic, environmental, and cultural returns of publicly funded research. New Directions for Evaluation, 2008: 47–60, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/ev.260/abstract.The author regards development of Australia's ill-fated Research Quality Framework (RQF) as a “live experiment” in determining the most appropriate approach to evaluating the extra-academic returns, or “impact,” of a nation's publicly funded research. The RQF was at the forefront of an international movement toward richer qualitative, contextual approaches that aimed to gauge the wider economic, social, environmental, and cultural benefits of research. Its construction and implementation sent mixed messages and created confusion about what impact is, and how it is best measured, to the extent that this bold live experiment did not come to fruition
Eliciting Behavior From Interactive Narratives: Isolating the Role of Agency in Connecting With and Modeling Characters
A key component differentiating interactive storytelling from non-interactive media is agency, or control over character choices. A series of experiments show that providing agency over a character increased the user-character connection, which then increased engagement in a character-consistent charitable act. Findings were observed in technologically simple online narratives that controlled for navigation/controller differences, graphics, sounds, lengthy play, and avatar customization. Effects emerged even though users did not practice these acts by making their character behave charitably. Findings were robust across happy and unfortunate endings and across first-, second-, and third-person narrative perspectives. Findings suggest promise for developing inexpensive ‘‘storygames’’ to encourage supportive behaviors
Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.
Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems
Revealing the Vicious Circle of Disengaged User Acceptance: A SaaS Provider's Perspective
User acceptance tests (UAT) are an integral part of many different software engineering methodologies. In this paper, we examine the influence of UATs on the relationship between users and Software-as-a-Service (SaaS) applications, which are continuously delivered rather than rolled out during a one-off signoff process. Based on an exploratory qualitative field study at a multinational SaaS provider in Denmark, we show that UATs often address the wrong problem in that positive user acceptance may actually indicate a negative user experience. Hence, SaaS providers should be careful not to rest on what we term disengaged user acceptance. Instead, we outline an approach that purposefully queries users for ambivalent emotions that evoke constructive criticism, in order to facilitate a discourse that favors the continuous innovation of a SaaS system. We discuss theoretical and practical implications of our approach for the study of user engagement in testing SaaS applications
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