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BackgroundConversational agents, which we defined as computer programs that are designed to simulate two-way human conversation by using language and are potentially supplemented with nonlanguage modalities, offer promising avenues for health interventions for different populations across the life course. There is a lack of open-access and user-friendly resources for identifying research trends and gaps and pinpointing expertise across international centers. ObjectiveOur aim is to provide an overview of all relevant evidence on conversational agents for health and well-being across the life course. Specifically, our objectives are to identify, categorize, and synthesize—through visual formats and a searchable database—primary studies and reviews in this research field. MethodsAn evidence map was selected as the type of literature review to be conducted, as it optimally corresponded to our aim. We systematically searched 8 databases (MEDLINE; CINAHL; Web of Science; Scopus; the Cochrane, ACM, IEEE, and Joanna Briggs Institute databases; and Google Scholar). We will perform backward citation searching on all included studies. The first stage of a double-stage screening procedure, which was based on abstracts and titles only, was conducted by using predetermined eligibility criteria for primary studies and reviews. An operational screening procedure was developed for streamlined and consistent screening across the team. Double data extraction will be performed with previously piloted data collection forms. We will appraise systematic reviews by using A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2. Primary studies and reviews will be assessed separately in the analysis. Data will be synthesized through descriptive statistics, bivariate statistics, and subgroup analysis (if appropriate) and through high-level maps such as scatter and bubble charts. The development of the searchable database will be informed by the research questions and data extraction forms. ResultsAs of April 2021, the literature search in the eight databases was concluded, yielding a total of 16,351 records. The first stage of screening, which was based on abstracts and titles only, resulted in the selection of 1282 records of primary studies and 151 records of reviews. These will be subjected to second-stage screening. A glossary with operational definitions for supporting the study selection and data extraction stages was drafted. The anticipated completion date is October 2021. ConclusionsOur wider definition of a conversational agent and the broad scope of our evidence map will explicate trends and gaps in this field of research. Additionally, our evidence map and searchable database of studies will help researchers to avoid fragmented research efforts and wasteful redundancies. Finally, as part of the Harnessing the Power of Conversational e-Coaches for Health and Well-being Through Swiss-Portuguese Collaboration project, our work will also inform the development of an international taxonomy on conversational agents for health and well-being, thereby contributing to terminology standardization and categorization. International Registered Report Identifier (IRRID)DERR1-10.2196/26680

From historical advice to 3D modeling and programming, the process of reconstructing cultural heritage sites populated with virtual inhabitants is lengthy and expensive, and it requires a large set of skills and tools. These constraints make it increasingly difficult, however not unattainable, for small archaeological sites to build their own simulations. In this article, we describe our attempt to minimize this scenario. We describe a framework that makes use of free tools or campus licenses and integrates the curricular work of students in academia. We present the details of methods and tools used in the pipeline of the construction of the virtual simulation of the medieval village of Mértola in the south of Portugal. We report on: a) the development of a lightweight model of the village, including houses and terrain, and b) its integration in a game engine in order to c) include a virtual population of autonomous inhabitants in a simulation running in real-time.

Cultural heritage is a relevant issue in contemporary society. While its preservation is a challenge, its dissemination, can contribute for an economic balance between costs and benefits. Scientific heritage can be considered as a special domain of cultural heritage, not yet sought by the mass tourism, but worth being preserved as the roots of today’s knowledge. Considering that university students of engineering and computer science traditionally do not address cultural or scientific heritage issues in their syllabus, and that they constitute a layer of young citizens that will come to be influential in the future of society, an effort was undertaken to focus on this theme in disciplines of different courses, allying the learning of technical skills with the natural interest of younger people for 3D and animation for the profit of heritage. The goal was to raise the awareness of this particular group to the importance of maintaining heritage issues, in particular, in a virtual way, both for documentation and for divulgating their existence. Raising funds for buildings’ restoration, attracting the public to visit buildings and collections that are outside the usual tourism routes, contributing to revenue generation, or allowing virtual visits of not accessible issues, complementing physical visits on site, were the general aims of the proposed projects. A survey was undertaken under the participating students to evaluate how the projects influenced their attitude towards heritage. The obtained feedback was very positive: 76% agreed that the project alerted them for the importance of preserving historical and cultural heritage, while 72% considered it was interesting that the topic of digital cultural heritage was used for the assessments of the disciplines.

The study was carried out while developing an Augmented Reality mobile application that represents 3D virtual models of the brain of a patient over the real image of the patient’s head. The main purpose of the application is to guide doctors during a non-invasive medical procedure called Transcranial Magnetic Stimulation that uses electromagnetic stimulation to treat neurological problems. The tracking of these markers have proven to be one of the more challenging components of such an application and we observe that lighting conditions and distance to the markers are two of the main factors that can influence their accurate recognition

Introduction: Improving adherence to antidiabetic medication is crucial, resulting in improved health outcomes, cost reduction, and minimization of waste. A lack of underlying theory in existing interventions may explain the limited success in sustaining behavior change. This paper describes the development of a theory and evidence-based complex intervention to improve adherence to oral antidiabetics in older people via a software prototype with an anthropomorphic virtual assistant.Methods: The Behavior Change Wheel (BCW) was used to develop a theoretical understanding of the change process, corresponding to the first phase of the Medical Research Council Framework for developing and evaluating complex interventions. At the BCW core is a model of human behavior (COM-B), which posits that human behavior (B) results from the interaction between capabilities (C), opportunities (O), and motivation (M). Literature-derived medication adherence determinants were mapped onto COM-B components. Then, intervention functions (IFs) were selected employing the APEASE criteria. Finally, standardized behavior change techniques (BCTs) were chosen based on their suitability and their effectiveness on medication adherence trials. The prototype was developed for android devices; its core was implemented in Unity3D, using a female 3D virtual assistant, named Vitória.Results: Two COM-B components were identified as main targets for behavior change—psychological capability and reflective motivation; these were linked with four IFs—education, persuasion, enablement, and environmental restructuring. Eleven BCTs were, in turn, linked with the IFs. An example of a BCT is “problem solving”; it requires users to pinpoint factors influencing non-adherence and subsequently offers strategies to achieve the desired behavior. BCTs were operationalized into the dialogues with Vitória and into supplementary software features. Vitória communicates with users verbally and non-verbally, expressing emotions. Input options consist of buttons or recording values, such as medication taken.Conclusion: The present approach enabled us to derive the most appropriate BCTs for our intervention. The use of an explicit bundle of BCTs, often overlooked in interventions promoting medication adherence, is expected to maximize effectiveness and facilitates replication. The first prototype is being refined with users and health professionals’ contributions. Future work includes subjecting the prototype to usability tests and a feasibility trial.