Breakthroughs and Emerging Insights from Ongoing Design Science Projects: DESRIST 2016 Research-in-Progress Proceedings
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Breakthroughs and Emerging Insights from Ongoing Design Science Projects: Research-in-progress papers and poster presentations from the 11th International Conference on Design Science Research in Information Systems and Technology (DESRIST) 2016. St. John, Canada, 23-25 May.
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Item AdBo: A mobile application to boost adherence of physical exercises for elderly suffering from cognitive decline(DESRIST 2016, 2016-05) Alsaqer, Mohammed; Chatterjee, Samir; Parsons, Jeffrey; Tuunanen, Tuure; Venable, John R.; Helfert, Markus; Donnellan, Brian; Kenneally, Jim; National University of Ireland, Maynooth; Claremont Graduate University, United States; Memorial University of Newfoundland, CanadaAccording to the UN, the number of elderly people over the age of 60 will reach 2 billion by 2050. Aging is accompanied with functional and cognitive decline that impact elderly independence and quality of life. This often results in issues such as forgetting, fall, and depression. Physical exercises can help. However, only 16% of elderly above the age 65 years do enough exercise to meet HHS (Department of Health and Human Services) physical activity guidelines for Americans. Several barriers impact the elderly's adherence to physical exercises. In this paper, we discuss the barriers and proven strategies that can be used to overcome them. Then, we discuss the development of the AdBo smartphone application, which aims to increase the elderly adherence to physical exercises. The application will guide the elderly though appropriate exercises, measure cognition ability before and after the exercises regimen, and track cognitive improvement over time.Item Check the temperature. Rapid assessment of common ground in startup teams(DESRIST 2016, 2016-05) Bonazzi, Riccardo; Cimmino, Francesco Maria; Parsons, Jeffrey; Tuunanen, Tuure; Venable, John R.; Helfert, Markus; Donnellan, Brian; Kenneally, Jim; National University of Ireland, Maynooth; Claremont Graduate University, United States; Memorial University of Newfoundland, CanadaThis research in progress aims at identifying a set of design guide-lines to perform rapid diagnostic of common ground among participants of a startup team and their coach. Previous studies have shown that teams with high common ground are more efficient. Nonetheless, no existing tool can rapidly monitor its progression and visualize it in a simple way to allow the coach to perform team diagnostic. In this paper we present a prototype, which monitors the evolution of joint objectives and joint resources among team members and that represents the updated path of a startup team in less than five minutes. Empirical data collected at a startup weekend shows that it is possible (a) to rapidly monitor the evolution of common ground within the team, (b) to intervene whenever the joint commitment of participants gets too low and (c) positively affect the performance of a startup team.Item Architecture of in-app ad recommender system(DESRIST 2016, 2016-05) Mukherjee, Anik; Sundarraj, R. P.; Dutta, Kaushik; Parsons, Jeffrey; Tuunanen, Tuure; Venable, John R.; Helfert, Markus; Donnellan, Brian; Kenneally, Jim; National University of Ireland, Maynooth; Claremont Graduate University, United States; Memorial University of Newfoundland, CanadaIncreased adoption of smartphones has caused mobile advertising to be the secondmost revenue-generating medium among all forms of existing online advertising. Application (henceforth called app) developers try to monetize their apps by selling in-app ad-spaces to the advertisers (or ad-agencies) through various intermediaries such as ad-networks. Surveys, however, indicate that mobile ad campaigns are not as successful as they can be, in part due to inappropriate audience targeting, and in turn, user-apathy toward such ads. This motivates the need for a system, where both advertisers and mobile-app developers gain from the in-app advertising eco-system. In this paper, we propose an architecture of design-science artifacts for an ad-network, to meet the objectives of both these stakeholders.Item Introducing information gradient theory(DESRIST 2016, 2016-05) Lukyanenko, Roman; Castellanos, Arturo; Parsons, Jeffrey; Tuunanen, Tuure; Venable, John R.; Helfert, Markus; Donnellan, Brian; Kenneally, Jim; National University of Ireland, Maynooth; Claremont Graduate University, United States; Memorial University of Newfoundland, CanadaItem Designing knowledge interface systems: Past, present, and future(DESRIST 2016, 2016-05) Gregor, Shirley; Maedche, Alexander; Morana, Stefan; Schacht, Silvia; Parsons, Jeffrey; Tuunanen, Tuure; Venable, John R.; Helfert, Markus; Donnellan, Brian; Kenneally, Jim; National University of Ireland, Maynooth; Claremont Graduate University, United States; Memorial University of Newfoundland, CanadaKnowledge interface systems (KIS) enable a dialogue between human and machines by utilizing an underlying knowledge-based system. The design and the effects of KIS have been a focus of researchers' interest for decades. Yet the existing knowledge of KIS is scattered, and researchers as well as practitioners face the danger of re-inventing KIS for a specific purpose or, worse, repeating mistakes of the past. This conceptual paper provides an overview of KIS capabilities and outcomes of their usage from the past to the present and proposes directions for future research. Our analysis shows that, in general, there is evolution of work on KIS over time, rather than revolution. This research will enable researchers to identify their contribution more clearly over and above what has been done before.