Research Outputs
Understanding the use of physical computing in K-12 education: A systematic literature review
Physical computing is a field that involves the use of sensors, actuators, and microcontrollers to build systems that interact with the environment. This approach has been used in education, particularly to teach computer science, programming, computational thinking, and design concepts. This systematic review explores the use of physical computing in K-12 education, with a focus on what educational interventions are like, how they are assessed, their effects, and how students experience them. We included 43 scientific studies that describe the methodology and assessment process used in the intervention. We found that physical computing interventions have three types of expected educational outcomes: to learn physical computing itself, to improve other learning outcomes, or to improve attitudinal variables. The interventions use a variety of educational methods to achieve their goals; as well as a variety of instruments to measure outcomes. A common lesson structure has emerged, widely adopted across classrooms, including a short lecture followed by a hands-on phase, usually including teamwork to foster collaboration. Further comparative and long-term studies are needed to understand how physical computing interventions affect students, especially those who are underrepresented.
InMyDay: A study on input styles for a digital diary for older users
Diary studies are used to gather user information in their natural context. Despite the advantages of digital diaries, older users are not able to fully beneft from them, e.g. due to decreased motor and cognitive abilities, and low digital skills. This work presents InMyDay, a digital diary application specifcally designed and implemented for older users. The goal of this work is twofold: frst, we research whether older users are able to record activities and refect on their emotions using a digital diary. Then, using the results of this frst phase, we implemented three input styles for the second version of the digital diary: voice, stylus, and keyboard. Overall, 23 older users participated in evaluations aimed at improving the design of the diary and understanding their input style preferences. We found that the older adults used the diary to refect on their emotions, registering positive as well as negative emotions. We also found that the variety of choices in input styles helped the participants select the option most suited to their particular needs and preferences. Future work will focus on evaluating the digital diary over a longer period of time, to analyze variables such as long-term adoption and motivation, as well as trends in the selection of input styles.
SAS4P: Providing automatic smoking detection for a persuasive smoking cessation application
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.
Understanding requirements for mobile collaborative applications in domains of use
Several initiatives have implemented collaborative applications for mobile settings as diverse as hospital work, wildlife, transportation, and museums. The changing nature of mobile technology has resulted in a wide variety of applications. We explored models, architectures, and applications developed in the past 13 years to categorize the types of existing software and extract a set of common core requirements that support mobile collaboration independently of the current technology. This paper provides an analysis of the domain of mobile collaborative systems including a proposal division into several domains of use, and a study of the types of systems that exist in each of them. In this way, developers can analyze their scenario of development to get an idea of the most important requirements that should be considered for development.
MyAphasia: A mobile application for the treatment of Aphasia in a hospital environment
Aphasia, an alteration in the ability to use language, is a common consequence of stroke. Aphasia is treated by multidisciplinary teams including speech and language therapists. However, due to high workload and scarce resources, patients may not get enough therapy time. This article proposes MyAphasia, an application to help speech and language therapists in the treatment of aphasia in the acute phase, by assigning activities for the patient to perform independently. The application was evaluated by 11 speech and language therapists for 2 days. The results are promising: therapists found MyAphasia easy to use and helpful, potentially saving time and resources.
Social+Me: A persuasive application to increase communication between students and their support networks in Southern Chile
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.
A systematic literature review about technologies for self-reporting emotional information
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.
Care4Plant: Mobile application for informal caregivers
Informal caregivers provide long-term, unpaid support to patients – usually family or friends – with serious illnesses. Although caregiving is essential, it can have adverse effects, e.g. physical and emotional exhaustion. Digital applications are a cost-effective alternative to manage these effects. However, applications for caregivers are usually centered on skill building and education rather than well-being, and general-purpose stress management applications – besides not specifically considering caregivers – frequently change and do not usually incorporate social aspects. To design a caregiver-centered application, we analyzed caregiver needs, specifically focusing on well-being aspects. We present Care4Plant, an application designed to measure the emotional dimension of caregivers’ burden based on the Zarit Burden Questionnaire, and suggest a set of mood improvement tasks accordingly. Care4Plant features a virtual plant that represents informal caregivers’ emotional well-being, allowing them to care for the plant through actions intended to manage their mental health and reduce stress, and to share their plant with other caregivers through a social network represented by a greenhouse. We conducted an evaluation of Care4Plant with nine users over two weeks. The results indicated good levels of usability and demonstrated that the approach of motivating users through the virtual plant was well-received.
Enabling older adults’ health self-management through self-report and visualization—A systematic literature review
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.
Understanding monitoring technologies for adults with pain: Systematic literature review
Background: Monitoring of patients may decrease treatment costs and improve quality of care. Pain is the most common health problem that people seek help for in hospitals. Therefore, monitoring patients with pain may have significant impact in improving treatment. Several studies have studied factors affecting pain; however, no previous study has reviewed the contextual information that a monitoring system may capture to characterize a patient’s situation. Objective: The objective of this study was to conduct a systematic review to (1) determine what types of technologies have been used to monitor adults with pain, and (2) construct a model of the context information that may be used to implement apps and devices aimed at monitoring adults with pain. Methods: A literature search (2005-2015) was conducted in electronic databases pertaining to medical and computer science literature (PubMed, Science Direct, ACM Digital Library, and IEEE Xplore) using a defined search string. Article selection was done through a process of removing duplicates, analyzing title and abstract, and then reviewing the full text of the article. Results: In the final analysis, 87 articles were included and 53 of them (61%) used technologies to collect contextual information. A total of 49 types of context information were found and a five-dimension (activity, identity, wellness, environment, physiological) model of context information to monitor adults with pain was proposed, expanding on a previous model. Most technological interfaces for pain monitoring were wearable, possibly because they can be used in more realistic contexts. Few studies focused on older adults, creating a relevant avenue of research on how to create devices for users that may have impaired cognitive skills or low digital literacy. Conclusions: The design of monitoring devices and interfaces for adults with pain must deal with the challenge of selecting relevant contextual information to understand the user’s situation, and not overburdening or inconveniencing users with information requests. A model of contextual information may be used by researchers to choose possible contextual information that may be monitored during studies on adults with pain.