Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications

Due to the popularity of smart mobile phones and context-aware technology, various contextual data relevant to users' diverse activities with mobile phones is available around us. This enables the study on mobile phone data and context-awareness in computing, for the purpose of building data-driven intelligent mobile applications, not only on a single device but also in a distributed environment for the benefit of end users. Based on the availability of mobile phone data, and the usefulness of data-driven applications, in this paper, we discuss about mobile data science that involves in collecting the mobile phone data from various sources and building data-driven models using machine learning techniques, in order to make dynamic decisions intelligently in various day-to-day situations of the users. For this, we first discuss the fundamental concepts and the potentiality of mobile data science to build intelligent applications. We also highlight the key elements and explain various key modules involving in the process of mobile data science. This article is the first in the field to draw a big picture, and thinking about mobile data science, and it's potentiality in developing various data-driven intelligent mobile applications. We believe this study will help both the researchers and application developers for building smart data-driven mobile applications, to assist the end mobile phone users in their daily activities.Comment: Journal, 11 pages, Double Colum

Research Opportunities and Visions for Smart and Pervasive Health

Improving the health of the nation's population and increasing the capabilities of the US healthcare system to support diagnosis, treatment, and prevention of disease is a critical national and societal priority. In the past decade, tremendous advances in expanding computing capabilities--sensors, data analytics, networks, advanced imaging, and cyber-physical systems--have, and will continue to, enhance healthcare and health research, with resulting improvements in health and wellness. However, the cost and complexity of healthcare continues to rise alongside the impact of poor health on productivity and quality of life. What is lacking are transformative capabilities that address significant health and healthcare trends: the growing demands and costs of chronic disease, the greater responsibility placed on patients and informal caregivers, and the increasing complexity of health challenges in the US, including mental health, that are deeply rooted in a person's social and environmental context.Comment: A Computing Community Consortium (CCC) white paper, 12 page

Noise cancelling headphones & the neoliberal subject

Active noise cancelling (ANC) headphones grant an individual the ability to define and create personal sonic borders in real time. While this promise offers individuals a form of sonic escapism, I suggest that the technology is cloaked in neoliberal cultural values which promote individualized thinking, capital interest attained through increased focus, control of both the consumer and their sonic environment, and a Euro-centric perception of rationality and knowledge formation (J. H. Clarke et al., 2007; Gane, 2008; Houghton, 2019; Lazzarato, 2009). The technology dissolves opportunities for embodied sonic connection to land, community, and nonhuman agents which are strengthened through attentive and unmediated listening practices (Classen, 1999; Feld, 2012; Gross, 2014; Robinson, 2020; Simpson, 2011). Through a case study of Bose’s 700 NC and Apple’s Airpods Pro noise-cancelling headphones, this thesis works to uncover the ways in which the technology reproduces neoliberal ideologies utilizing CDA (Amoussue & Allagbe, 2018; Fairclough, 2001; Van Dijk, 2003) to consider how both companies advertise their noise-cancelling headphones and prioritize the neoliberal subject. Additionally, a collection of soundwalks are performed to compare the promises offered by the marketing campaigns through autoethnographic research (Behrendt, 2018; Sterne, 2003; Westerkamp, 2006). To juxtapose these neoliberal values and to offer moments for decolonial perspectives, this thesis addresses Indigenous, specifically Anishinaabe, literature on listening and sonic dimensions to consider the ways in which unmediated listening may offer moments of embodied knowledge which emerge from and through critical self-reflexivity, an awareness of an individual’s listening positionality, and a perspective on spatial intersubjectivity

Smart nudging: How cognitive technologies enable choice architectures for value co-creation

Abstract People make decisions and take actions to improve their viability everyday, and they increasingly turn to artificial intelligence (AI) to assist with their decision making. Such trends suggest the need to determine how AI and other cognitive technologies affect value co-creation. An integrative framework, based on the service-dominant logic and nudge theory, conceptualizes smart nudging as uses of cognitive technologies to affect people's behaviour predictably, without limiting their options or altering their economic incentives. Several choice architectures and nudges affect value co-creation, by (1) widening resource accessibility, (2) extending engagement, or (3) augmenting human actors' agency. Although cognitive technologies are unlikely to engender smart outcomes alone, they enable designs of conditions and contexts that promote smart behaviours, by amplifying capacities for self-understanding, control, and action. This study offers a conceptualization of actors' value co-creation prompted by AI-driven nudged choices, in terms of re-institutionalizing processes that affect agency and practices

The Future of Social Learning: A Novel Approach to Connectivism

The primary goal of this paper is to operationalize the connectivism approach into a new learning model with additions from problem-based and contextual learning that can be effectively implemented together, to improve socioeconomically diverse learners’ educational outcomes (attitude and persistence) in STEM (Science, Technology, Education and Mathematics) areas. We model this approach through the development and demonstration of an innovative, evidence-based, and scalable how-to-learn program that leverages connectivism principles and technology. This paper uses the case of energy education to provide contextual relevancy and prepare learners for the high demand jobs of the future. The new model is developed within the context of Internet of Things (IoT), where students have a unique opportunity to participate in a real-world application of an IoT system for green energy governance