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15th International Conference on Research Challenges in Information Science (RCIS)

作者： El Bolock, Alia Elaraby, Nada Herbert, Cornelia Abdennadher, Slim German Univ Cairo Cairo Egypt Univ Ulm Ulm Germany

ISBN: (纸本)9783030750176;9783030750183

Especially in light of the COVID-19 pandemic which is influencing human behavior, it is clear that there is a rising need for joining psychology and computer science to provide technology interventions for people suffering from negative feelings and behavior change. Behavior is driven by an individual's character and the situation they are in, according to Character computing and the Character-Behavior-Situation (CBS) triad. Accordingly, we developed the first full ontology modeling the CBS triad with the aim of providing domain experts with an intelligent interface for modeling, testing, and unifying hypotheses on the interactions between character, behavior, and situation. The ontology consists of a core module modeling character-based interactions and use-case and domain-specific modules. It was developed by computer scientists and psychology domain experts following an iterative process. The main contributions of this paper include updating the earlier prototypical version of the ontology-based on feedback from psychology experts and existing literature, adding more tools to it for enabling domain expert interaction, and providing the final ontology. Steps taken towards evaluating and validating the ontology are outlined.

关键词： Character computing Behavior Personality Psychology human-based computing

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Elastic systems: Towards cyber-physical ecosystems of people, processes, and things

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COMPUTER STANDARDS & INTERFACES 2018年 57卷 76-82页

作者： Moldovan, Daniel Copil, Georgiana Dustdar, Schahram TU Wien Distributed Syst Grp Vienna Austria

Pervasive mobility and an exponential increase in the number of connected devices are adding to IT complexity. Users are bypassing traditional IT to access cloud-based services. Boundaries between computing systems, people, and things are disappearing. New approaches are required to manage today's and tomorrow's increasingly connected and heterogeneous ecosystems of people, computing processes, and things. We envision future elastic systems driven by business requirements, integrating computing people, and things in open dynamic ecosystems in which all entities collaborate towards common goals. We introduce elasticity as a means of integrating computing processes, people, and things. We identify the core computing fields enabling future elastic systems: (i) hardware and software reusability, (ii) smart things, (iv) adaptation, and (v) human-based computing. We look at the development of these fields, and identify fundamental properties for building future elastic systems. We further envision a new field of research: Elastic computing. We identify and discuss challenges to be addressed by this field towards realizing future elastic systems: Are existing programming languages and models sufficient for designing and managing future elastic systems? How important are the interactions between people, computers, and things? Can people and things be monitored and controlled like computing resources? (C) 2017 Elsevier B.V. All rights reserved.

关键词： Elasticity Cloud IoT human-based computing

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Reliable Coordination Patterns in Cyber-Physical-Social Systems 3

Reliable Coordination Patterns in Cyber-Physical-Social Syst...

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3rd International Conference on Data and Software Engineering (ICoDSE)

作者： Candra, Muhammad Z. C. Truong, Hong-Linh Inst Teknologi Bandung Knowledge & Software Engn Grp Bandung Indonesia TU Wien Distributed Syst Grp Vienna Austria

ISBN: (纸本)9781509056712

human's computation power can be harnessed using the so-called Cyber-Physical-Social System (CPSS), which contains a mix of human-based and machine-based compute units. The inherent problem of human-based computation is its exposure to inevitable human errors;hence, it is not trivial to obtain a reliable CPSS. In contrast, many works for obtaining reliable machine-based system have been carried out for decades. In this paper, we employ the concept of reliability in CPSSs, and exemplify the concept in the context of data analytic scenarios. We present typical coordination patterns of such CPSSs, and study the reliability of different patterns using our existing reliability analysis framework. We experiment with several different coordination patterns of machine-based and human-based compute units in data analytic scenarios and study how certain patterns may potentially increase the reliability of the CPSS.

关键词： CPSS human-based computing reliability

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