Dr. Rossel-Cid, Pedro

Smoking is the biggest avoidable health risk, causing millions of deaths per year worldwide. Persuasive applications are those designed to change a person’s behavior, usually in a specific way. Several mobile phone applications and messaging systems have been used to promote smoking cessation. However, most interventions use participants’ self-reports to track cigarette consumption and avoidance, which may not be accurate or objective. Previous proposals have used sensors to track hand movements and other contextual data to detect smoking or have used devices to detect smoke or breath carbon monoxide. This article proposes a low-cost wearable device that may be worn in a front shirt pocket or clipped to clothing to detect smoke and secondhand smoke. Furthermore, the device is integrated into a persuasive application to promote smoking cessation. The device was evaluated through an experiment to detect whether it may detect direct, passive, and no smoking conditions. The results are promising and may help improve tracking of cigarettes in persuasive applications.

Emotional information is complex to manage by humans and computers alike, so it is difficult for users to express emotional information through technology. Two main approaches are used to gather this type of information: objective (e.g. through sensors or facial recognition) and subjective (reports by users themselves). Subjective methods are less intrusive and may be more accurate, although users may fail to report their emotions or not be entirely truthful about them. The goal of this study is to identify trends in the area of interfaces for the self-report of human emotions, under-served populations of users, and avenues of future research. A systematic literature review was conducted on six search engines, resulting in a set of 863 papers, which were filtered in a systematic way until we established a corpus of 40 papers. We studied the technologies used for emotional self-report as well as the issues regarding these technologies, such as privacy, interaction mechanisms, and how they are evaluated.

Context: Software Product Lines (SPL) evolve when there are changes in the requirements, product structure or the technology being used. Different approaches have been proposed for managing SPL assets and some also address how evolution affects these assets. Existing mapping studies have focused on specific aspects of SPL evolution, but there is no cohesive body of work that gives an overview of the area as a whole. Objective: The goals of this work are to review the characteristics of the approaches reported as supporting SPL evolution, and to synthesize the evidence provided by primary studies about the nature of their processes, as well as how they are reported and validated. Method: We conducted a systematic literature review, considering six research questions formulated to evaluate evolution approaches for SPL. We considered journal, conference and workshop papers published up until March 2017 in leading digital libraries for computer science. Results: After a thorough analysis of the papers retrieved from the digital libraries, we ended up with a set of 60 primary studies. Feature models are widely used to represent SPLs, so feature evolution is frequently addressed. Other assets are less frequently addressed. The area has matured over time: papers presenting more rigorous work are becoming more common. The processes used to support SPL evolution are systematic, but with a low level of automation. Conclusions: Our research shows that there is no consensus about SPL formalization, what assets can evolve, nor how and when these evolve. Case studies are quite popular, but few industrial-sized case studies are publicly available. Also, few of the proposed techniques offer tool support. We believe that the SPL community needs to work together to improve the state of the art, creating methods and tools that support SPL evolution in a more comparable manner.

Technology can improve university students’ communication, helping them maintain relationships. Although there are many available technological tools, students face challenges—e.g., living far from home, failing grades, depression—that may isolate them from their networks. Most research into these topics has been conducted in countries in which students leave their parents’ home while at university, which is not the case for most students in southern Chile. In this context that has been seldom studied, this paper presents two studies, focusing on two research questions: (1) How do university students in southern Chile communicate? (2) Can a mobile application persuade university students to increase their communication patterns? To answer these questions, we conducted a survey with 90 students in southern Chile, and then developed a persuasive application called Social+Me, aimed at monitoring communication with students’ support networks and persuading them to keep in touch. We conducted a preliminary evaluation of Social+Me, and the application was well received by participants, who felt that it improved their communication with their social network. The main impact of our study lies in applying persuasive technologies to the communicative practice of university students to prevent students from feeling isolated or unsupported.

Aging is associated with a progressive decline in health, resulting in increased medical care and costs. Mobile technology may facilitate health self-management, thus increasing the quality of care and reducing costs. Although the development of technology offers opportunities in monitoring the health of older adults, it is not clear whether these technologies allow older adults to manage their health data themselves. This paper presents a review of the literature on mobile health technologies for older adults, focusing on whether these technologies enable the visualization of monitored data and the self-reporting of additional information by the older adults. The systematic search considered studies published between 2009 and 2019 in five online databases. We screened 609 articles and identified 95 that met our inclusion and exclusion criteria. Smartphones and tablets are the most frequently reported technology for older adults to enter additional data to the one that is monitored automatically. The recorded information is displayed on the monitoring device and screens of external devices such as computers. Future designs of mobile health technology should allow older users to enter additional information and visualize data; this could enable them to understand their own data as well as improve their experience with technology.

Balance is affected in numerous neurologic disorders, like stroke, multiple sclerosis and Parkinson’s disease contributing to falls, and diminishing quality of life and functionality. The mini-BESTest is one of the most recommended scales to detect balance disorders in people with Parkinson’s disease, which has solid psychometric properties. Unfortunately, this scale has not been validated in Chile and there are no other validated scales that can determine balance disorders in patients with Parkinson’s disease to date. The study objective was to validate the mini-BESTest scale in Chilean Parkinson’s disease patients. The translation and adaptation to Chilean Spanish of the mini-BESTest scale were made following a cross-cultural adaptation process, to then obtain face and content validity by an expert committee. Afterwards, the demographic data and psychometric properties of internal consistency and ceiling and floor effects were measured with a sample of 50 subjects with Parkinson’s disease. Furthermore, 10 subjects of the sample were evaluated with the purpose of measuring inter rater reliability. The scale presented a good internal consistency (Cronbach’s alpha = 0.845), and an excellent inter rater reliability (intraclass correlation coefficient = 0.97), no ceiling or floor effects were found. The results of the face and content validity and psychometric properties are adequate, achieving the validation of the mini-BESTest scale for balance in Chilean people with Parkinson’s disease.