Investigating into the Prevalence of Complex Event Processing and Predictive Analytics in the Transportation and Logistics Sector: Initial Findings From Scientific Literature

As ever new sensor solutions are invading people’s everyday lives and business processes, the use of the signals and events provided by the devices poses a challenge. Innovative ways of handling the large amount of data promise an effective and efficient means to overcome that challenge. With the help of complex event processing and predictive techniques, added value can be created. While complex event processing is able to process the multitude of signals coming from the sensors in a continuous manner, predictive analytics addresses the likelihood of a certain future state or behavior by detecting patterns from the signal database and predicting the future according to the detections. As to the transportation and logistics domain, processing the signal stream and predicting the future promises a big impact on the operations because the transportation and logistics sector is known as a very complex one. The complexity of the sector is linked with the many stakeholders taking part in a variety of operations and the partly high level of automation often being accompanied by manual processes. Hence, predictions help to prepare better for upcoming situations and challenges and, thus, to save resources and cost. The present paper is to investigate the prevalence of complex event processing and predictive analytics in logistics and transportation cases in the research literature in order to motivate a subsequent systematic literature view as the next step in the research endeavor

Aspectos motivacionais no design de tecnologia para mudanças sociais

Orientador: Maria Cecília Calani BaranauskasTese (doutorado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Conectando pessoas e presente em todos os aspectos da vida, quando projetadas para este fim, as tecnologias têm potencial de influenciar a forma com que pessoas em um grupo social percebem e se relacionam com as coisas no ambiente. Este estudo de doutorado em Interação Humano-Computador (IHC) investiga como elementos motivacionais da Psicologia podem ser aplicados para informar o design, explo- rando esse potencial da tecnologia em promover mudanças sociais. O estudo é instanciado no domínio de consumo de energia elétrica, lidando com o desafio contemporâneo de cons- cientizar a sociedade dos limites naturais do planeta no que diz respeito ao uso de recursos naturais. Informar o design com aspectos motivacionais é uma abordagem recente em IHC. Quando encontrada na literatura, comumente tem foco em aspectos individuais e intrín- secos da motivação. Contudo, como argumentado nessa pesquisa, o contexto sociocultural evidencia a importância de considerar também os fatores externos que motivam as pessoas a se engajarem com uma tecnologia e com uma determinada questão social. Por considerar tanto fontes intrínsecas quanto extrínsecas de motivação, a Teoria da Autodeterminação é então considerada o principal referencial teórico da Psicologia nessa investigação, e a Semiótica Organizacional é a base metodológica para analisar os elemen- tos socioculturais que influenciam a motivação extrínseca. A análise situada dos dados socioculturais por uma perspectiva motivacional levou ao design da Tecnologia Socialmente Informada para Eco-Feedback de Energia (sigla SEET, em inglês), uma arquitetura que tem por objetivo estabelecer um novo padrão de com- portamento, ou uma nova maneira de perceber o consumo de energia coletivamente. O SEET é composto por um sistema interativo que promove colaboração, e pela Árvore da Energia, um dispositivo de feedback tangível para locais onde há encontro de pessoas. O SEET é avaliado em dois cenários complementares: uma Escola de Ensino Funda- mental no Brasil, onde os dados socioculturais foram coletados, analisados e aplicados para informar o design; e no contexto de um departamento de uma universidade no Reino Unido. Aspectos motivacionais da arquitetura do SEET são então analisadas, assim como o impacto dessa tecnologia ao desencadear as esperadas mudanças sociaisAbstract: By connecting people and being present in almost all aspects of life, when properly de- signed for that, technology can potentially influence the way people in a social group perceive and relate with things in their environment. This PhD study in the Human-Computer Interaction (HCI) field investigates how motivational elements from Psychology can be applied to inform the design aiming at exploring this potential of technology for promoting a social change. The study is in- stantiated in the energy consumption domain, coping with the contemporary challenge of raising awareness among the society of the planet¿s natural resources usage and limits. Informing the design with motivational aspects is a recent approach in HCI. When found in literature, it is mostly focused on individual and intrinsic aspects of motivation. However, as argued in this research, the sociocultural context evidences the importance of considering also the external factors that motivate people to be engaged with technology and the social issue. By taking into account both intrinsic and extrinsic sources of motivation, the Self- Determination Theory is then considered the main theoretical background from Psychol- ogy in this investigation, and the Organisational Semiotics the methodological basis to analyse sociocultural elements that influence extrinsic motivation. The situated analysis of sociocultural data with motivational lenses has led to the de- sign of a Socially-informed Energy Eco-feedback Technology (SEET), an architecture that aims at establishing a "new pattern of behaviour", or a new way of perceiving collective energy consumption. The SEET is composed by an interactive system that promotes collaboration and The Energy Tree, a tangible and public feedback device for gathering places. The SEET is evaluated in two complementary scenarios: an elementary school in Brazil, where the sociocultural data was collected, analysed and applied to inform design; and in the context of an university department in the United Kingdom. Motivational as- pects of the SEET architecture are then analysed, as well as the impact of this technology to trigger the desired social changeDoutoradoCiência da ComputaçãoDoutora em Ciência da Computaçã

LHUFT Bibliography January 2020

Subject headings have been updated to reflect current Library of Congress standards

Evaluating the impact of physical activity apps and wearables: interdisciplinary review

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines

Technology of the Oppressed

How Brazilian favela residents engage with and appropriate technologies, both to fight the oppression in their lives and to represent themselves in the world. Brazilian favelas are impoverished settlements usually located on hillsides or the outskirts of a city. In Technology of the Oppressed, David Nemer draws on extensive ethnographic fieldwork to provide a rich account of how favela residents engage with technology in community technology centers and in their everyday lives. Their stories reveal the structural violence of the information age. But they also show how those oppressed by technology don't just reject it, but consciously resist and appropriate it, and how their experiences with digital technologies enable them to navigate both digital and nondigital sources of oppression—and even, at times, to flourish. Nemer uses a decolonial and intersectional framework called Mundane Technology as an analytical tool to understand how digital technologies can simultaneously be sites of oppression and tools in the fight for freedom. Building on the work of the Brazilian educator and philosopher Paulo Freire, he shows how the favela residents appropriate everyday technologies—technological artifacts (cell phones, Facebook), operations (repair), and spaces (Telecenters and Lan Houses)—and use them to alleviate the oppression in their everyday lives. He also addresses the relationship of misinformation to radicalization and the rise of the new far right. Contrary to the simplistic techno-optimistic belief that technology will save the poor, even with access to technology these marginalized people face numerous sources of oppression, including technological biases, racism, classism, sexism, and censorship. Yet the spirit, love, community, resilience, and resistance of favela residents make possible their pursuit of freedom