Empowering Users to Create Augmented Reality-Based Solutions – Deriving Design Principles for No-Code AR Authoring Tools

Grounded on an experimental study with 18 participants, we derive 15 design principles for no-code AR authoring tools in an organizational setting. The study consists of two distinct treatments that aim to augment lightweight processes with AR. The outcomes are two interactive tutorials utilizing AR instructions. Following the no-code approach, the participants were empowered to create relevant AR content using a reduced interface and no need for advanced configurations or coding. The study thus combines two research streams with the aim of better understanding mechanisms for AR use in a professional context. As prior work has shown, despite the potential benefits, the adoption of AR authoring tools is limited because ramping up AR to productive use is heavily dependent on consulting and custom software solutions. Our novel approach bears the potential to broaden application domains and empower professionals to apply AR

Accurator: Nichesourcing for Cultural Heritage

With more and more cultural heritage data being published online, their usefulness in this open context depends on the quality and diversity of descriptive metadata for collection objects. In many cases, existing metadata is not adequate for a variety of retrieval and research tasks and more specific annotations are necessary. However, eliciting such annotations is a challenge since it often requires domain-specific knowledge. Where crowdsourcing can be successfully used for eliciting simple annotations, identifying people with the required expertise might prove troublesome for tasks requiring more complex or domain-specific knowledge. Nichesourcing addresses this problem, by tapping into the expert knowledge available in niche communities. This paper presents Accurator, a methodology for conducting nichesourcing campaigns for cultural heritage institutions, by addressing communities, organizing events and tailoring a web-based annotation tool to a domain of choice. The contribution of this paper is threefold: 1) a nichesourcing methodology, 2) an annotation tool for experts and 3) validation of the methodology and tool in three case studies. The three domains of the case studies are birds on art, bible prints and fashion images. We compare the quality and quantity of obtained annotations in the three case studies, showing that the nichesourcing methodology in combination with the image annotation tool can be used to collect high quality annotations in a variety of domains and annotation tasks. A user evaluation indicates the tool is suited and usable for domain specific annotation tasks

Evaluating the Readability of Scientific Web Pages Using Intelligent Analysis Tools

The World Wide Web (WWW) is a primary resource of information. With the growth of the WWW, it is not only enough to have a web presence, but also to have a highly readable website. Scientific web pages include text content, tables, graphs, charts, images, mathematical formulae that are difficult to represent in a legible manner. This study involved creating a sample scientific website. Users had to browse a sample website and answer a survey questionnaire. The survey responses were analyzed using data mining techniques from SAS Enterprise Miner to determine the main factors affecting readability of the website

A collaborative platform for management of chronic diseases via guideline-driven individualized care plans

Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans. We also report the results of usability studies carried out in four pilot sites by patients and clinicians

Implicit Measures of Lostness and Success in Web Navigation

In two studies, we investigated the ability of a variety of structural and temporal measures computed from a web navigation path to predict lostness and task success. The user’s task was to find requested target information on specified websites. The web navigation measures were based on counts of visits to web pages and other statistical properties of the web usage graph (such as compactness, stratum, and similarity to the optimal path). Subjective lostness was best predicted by similarity to the optimal path and time on task. The best overall predictor of success on individual tasks was similarity to the optimal path, but other predictors were sometimes superior depending on the particular web navigation task. These measures can be used to diagnose user navigational problems and to help identify problems in website design