Browsing by Author "Herskovic, Valeria"

Now showing 1 - 20 of 67
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    A Real-world Approach to Motivate Students on the First Class of a Computer Science Course
    (ASSOC COMPUTING MACHINERY, 2021) Bellino, Alessio; Herskovic, Valeria; Hund, Michael; Muñoz Gama, Jorge
    A common belief among students is that computing is a boring subject that lacks a connection to the real world. The first class (one 80-minute session) in an introductory computer science course may be an appropriate instance to combat such a belief. Previous studies have used coursewide interventions, e.g., games and physical/tangible devices to improve students' motivation. However, although other approaches help motivate students, they may lack real-world context or have a high cost of deployment. This article proposes a novel real-world based approach to introduce programming concepts in the first class of the introductory computer science course. This approach, called Protobject based, is applicable to courses with over 100 students, has a low deployment entry barrier, requires low investment, and may be used creatively to implement different experiences. Furthermore, the Protobject-based approach has an equivalent motivational effect-at least in the short-term-to a Game-based approach even if it is entirely focused on the real world. The low requirements of the approach make it especially suitable for an 80-minute first class in an introductory computer science course. The Protobject-based approach has been preliminarily validated and compared to a pure game-based approach with a study with 376 participants, and we present the analysis of motivation questionnaires, a pre-test and post-test, and a homework assignment given to the students. We posit that more research into initiatives such as this one-that can show students how computer science can impact the real world around them-is warranted.
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    A systematic literature review about technologies for self-reporting emotional information
    (2017) Fuentes Toro, Carolina; Herskovic, Valeria; Rodríguez Ramírez, Iyubanit; Gerea Petculescu, Carmen; Maıra Marques; Pedro O. Rossel
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    Activity and posture recognition for the elderly based on a wearable device
    (2018) Cajamarca, María Gabriela; Herskovic, Valeria; Pontificia Universidad Católica de Chile. Escuela de Ingeniería
    La postura humana y los niveles de actividad son indicadores para evaluar la salud y la calidad de vida de las personas. Esta información puede ser monitoreada y utilizada para evaluar parámetros físicos y funcionales. Los cambios físicos por desequilibrio de la columna, pueden ser la causa de dolor de espalda, deterioro neurológico, deformidad, problemas cosméticos, o una combinación de los mencionados. Estos cambios son más comunes en personas mayores. Se han propuesto algunos prototipos que se pueden usar para el monitoreo de cambios en la columna vertebral, sin embargo, no se ha considerado lo suficiente la experiencia del usuario con estos dispositivos, para entender cuáles son las características centrales para el uso a largo plazo. La propuesta de este estudio es diseñar dispositivos portátiles de acuerdo con las condiciones de los ancianos para monitorear la postura de la columna mediante tres sensores adheridos al tronco y evaluar la experiencia del usuario cuando utilizan estos. Primero, diseñamos e implementamos un prototipo llamado StraightenUp para el monitoreo estático de la postura espinal, la evaluación de este diseño fue en personas sanas y jóvenes. Luego, se realiza observaciones sobre características y limitaciones de personas mayores con vida asistida para conocer el ritmo de las actividades diarias. Finalmente, proponemos una versión mejorada de StraightenUp considerando problemas de diseño encontrados en su evaluación. Creamos un nuevo prototipo denominado StraightenUp+. La evaluación de esta nueva versión se realiza en ancianos institucionalizados. Se obtuvo un alto rendimiento del dispositivo, los sensores son lo suficientemente precisos para detectar posturas corporales. Con respecto a la experiencia del usuario con este dispositivo, los participantes lo apreciaron de manera muy positiva, destacan su comodidad, usabilidad y familiaridad con una prenda de vestir. Los hallazgos de este estudio pueden usarse como apoyo hacia una tecnología de monitoreo de posturas de la columna más completa específicamente diseñada para la población que envejece.
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    Aestimo: a tangible kit to evaluate older adults' user experience
    (2019) Rodríguez Ramírez, Iyubanit; Karyda, Maria; Lucero, Andres; Herskovic, Valeria
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    Análisis de clusters y de trayectorias de motivación de estudiantes de un curso de programación en modalidad remota de emergencia
    (2022) Jahr Andrade, Andrés Sebastián; Herskovic, Valeria; Muñoz Gama, Jorge; Pontificia Universidad Católica de Chile. Escuela de Ingeniería
    La pandemia de COVID-19 trajo consigo consecuencias no solo en el ámbito de salud y económico, sino que también en educación. Las personas se vieron obligadas a cumplir estrictos protocolos sanitarios los cuales implicaron, entre otras cosas, restricciones de desplazamiento y cuarentenas. En consecuencia, sin mas opción, los centros educacionales se vieron obligados a pasar a un formato remoto, modalidad conocida como aprendizaje remoto de emergencia, o emergency remote teaching (ERT). ERT tiene consecuencias para profesores y estudiantes, las cuales podrían afectar la motivación y, por ende, el aprendizaje de estos últimos. Con la finalidad de analizar dicha situación se realizaron 3 encuestas en un curso universitario de programación, las cuales incluían preguntas del Motivated Strageties for Learning Questionnaire (MSLQ), cuestionario autoreporte que evalúa la motivación académica de los estudiantes en distintas escalas; preguntas demográficas y descriptivas, y preguntas respecto a la preocupación por el COVID-19. A partir de lo anterior, se generaron perfiles de estudiantes utilizando el método de clusterización k-means y se analizaron sus diferencias con diversas pruebas estadísticas. Adicionalmente, se generaron trayectorias de motivación considerando los 3 periodos estudiados. A raíz de ello se descubrió la existencia de 4 perfiles de estudiantes. El perfil más adaptativo tuvo una alta motivación, además de verse más preparado y menos frustrado con las condiciones del ERT. Sin embargo, tuvo los niveles mas altos de preocupación por el COVID-19. El perfil menos adaptativo, se comporto en general como un espejo de las variables del más adaptativo, siendo el cluster con mayor representación de mujeres. En lo que respecta a trayectorias, se evidenciaron diversas variaciones motivacionales a través del tiempo. Por último, se mostraron claras diferencias entre las trayectorias de los estudiantes más y menos preocupados por el COVID-19.
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    Analízate: Towards a Platform to Analyze Activities and Emotional States of Informal Caregivers
    (2018) Astudillo, Ignacio; Fuentes Cimma, Javiera Carolina; Herskovic, Valeria
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    Analysis of Multidisciplinary Collaboration in Primary Healthcare: The Chilean Case
    (2017) Saint-Pierre, Cecilia; Sepúlveda, Marcos; Herskovic, Valeria
    Around 10% of the population suffers from diabetes, and this percentage is expected to rise. Healthcare guidelines propose a multidisciplinary, collaborative approach for treatment. However, there is little data to understand whether healthcare professionals are actually collaborating and how this collaboration takes place. We analyzed 4 years of data from 3 healthcare centers in Chile, corresponding to 2,838 patients. Patients were classified according to the composition of the healthcare team into four categories: highly multidisciplinary teams, specialized teams, physician-nurse centered teams, and non-collaborative treatment. Our results show that team prevalence is related to patient and healthcare center characteristics.
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    Analysis of the Relationship between the Referral and Evolution of Patients with Type 2 Diabetes Mellitus
    (2018) Alvarez, Camilo; Saint-Pierre Cortés, Cecilia; Herskovic, Valeria; Sepulveda, Marcos
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    Analysis of the relationship between treatment networks and the evolution of patients with Type 2 Diabetes Mellitus
    (2020) Álvarez Ledezma, Camilo Eduardo; Saint-Pierre Cortés, Cecilia; Herskovic, Valeria; Sepúlveda Fernández, Marcos Ernesto; Prieto Ugarte, Florencia
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    Are notifications a challenge for older people?: a study comparing two types of notifications
    (2017) Rodríguez Ramírez, Iyubanit; Fuentes Cimma, Carolina; Herskovic, Valeria; Pino, José A.
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    B-ePain: A Wearable Interface to Self-Report Pain and Emotions
    (2016) Rodríguez Ramírez, Iyubanit; Fuentes Cimma, Javiera Carolina; Herskovic, Valeria; Campos, Mauricio
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    Discovering role interaction models in the Emergency Room using Process Mining
    (2018) Alvarez, Camilo; Rojas, Eric; Arias, Michael; Munoz-Gama, Jorge; Sepulveda, Marcos; Herskovic, Valeria; Capurro, Daniel
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    Do Cookie Banners Respect My Browsing Privacy? Measuring the Effectiveness of Cookie Rejection for Limiting Behavioral Advertising
    (2024) Ormeño Poblete, Mateo Andrés; Dao, Ha; Herskovic, Valeria; Fukuda, Kensuke
    Online behavioral advertising (OBA) is a method within digital advertising that exploits web users' interests to tailor ads. Its use has raised privacy concerns among researchers, regulators, and the media, emphasizing the need for a reliable mechanism to measure its prevalence. However, there is a lack of systematic research on how user consent choices affect OBA presence, and no open-source frameworks exist for large-scale automated OBA measurement. To address this, we design and implement OpenOBA, a new framework for automated OBA discovery on the web. OpenOBA is a general, modular, and scalable framework to support essentially any OBA measurement. With it, we conduct a study to measure the impact of three user consent choices for cookies on OBA, uncovering a complex online privacy landscape. We first confirm the presence of OBA by comparing the increased likelihood of encountering ads from a specific topic, i.e., Style & Fashion, when browsing with an artificially induced behavior versus when browsing without any particular behavior. Then, we find that the Accept All choice significantly raises the number of OBA ads. For the Reject All option, on the other hand, we observe that it reduces the number of unique third-party tracking cookie hosts (tracker domains) by around 70%, yet it still shows ads related to the user's interests. Notably, we also find that OBA ads are only served through Google-related domains across the three banner interaction configurations used, despite the involvement of up to 191 different tracker domains in the Accept All configuration. This underscores the dominant role of major players in the OBA ad market. Finally, to foster reproducibility and further research, we open-sourced our framework and released all data and analysis scripts.
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    EmoBall: A Study on a Tangible Interface to Self-report Emotional Information Considering Digital Competences
    (2015) Fuentes Toro, Carolina; Rodríguez, Iyubanit; Herskovic, Valeria
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    Enabling Older Adults’ Health Self-Management through Self-Report and Visualization—A Systematic Literature Review
    (2020) Cajamarca, María Gabriela; Herskovic, Valeria; Rossel, Pedro O.
    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.
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    Evitapp: Persuasive Application for Physical Activity and Smoking Cessation
    (2018) Bascur Quijada, Antonio Fernando; Rossel, Pedro O.; Herskovic, Valeria; Martínez-Carrasco, Claudia
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    Exploring Tangible Ways to Evaluate User Experience for Elders
    (2018) Rodríguez Ramírez, Iyubanit; Karyda, María; Lucero, Andrés; Herskovic, Valeria