Unravelling the Complexity of Addiction to Social Networking Sites: A Multidimensional Analysis

Information behaviour and social network sites addiction (hereafter referred to as SNS addiction) are two concepts that have become increasingly relevant in the digital age. Information behaviour refers to how individuals seek, access, evaluate, and use information to meet their goals. These two concepts can be interconnected. Individuals who exhibit addictive tendencies may excessively and compulsively use social networks to obtain information or social approval, which can be reinforced by the constant availability of information and social connections. This study aimed to investigate the multidimensional nature of SNS addiction by examining socio-demographic characteristics, personal, spatiotemporal, environmental, and task contexts. A cross-sectional survey was conducted among 174 users to assess addiction levels and explore related factors. The Addiction Severity Index (ASI) was used to classify participants into four levels. Data analysis included cross-tabulations, frequency counts, and chi-square tests. The results revealed that 41% of participants were classified as SNS addicts, suggesting a significant prevalence of this behaviour. No significant differences were found in addiction levels based on gender and age groups. In terms of individual context, those classified as addicts demonstrated excessive involvement in activities such as media viewing, content rating, and private messaging. In conclusion, this thorough analysis emphasizes the intricate, multifaceted nature of the phenomenon and underscores the importance of considering contextual factors when designing effective interventions. Understanding the intricate dynamics of SNS addiction can inform the development of effective strategies for healthier patterns of usage of information

Sistema de enriquecimiento de consultas basado en los perfiles de usuario y de contexto tomando en cuenta el perfil de sesión y el histórico en el sistema

Ingeniero (a) de SistemasPregrad

An Activity Theory-based Architecture To Enhance Context-aware Collaboration In Software Development In The Cloud

This research study reviews collaborative software development and assesses the impact of cloud computing in this domain. This is with a view towards identifying challenges to effective context-aware collaboration, as well as opportunities, risks, and potential benefits that could come from a well-defined structured leverage of cloud capabilities. Findings from systematic review of literature indicate that adoption of cloud computing played a significant part in bringing about trends such as: movement of traditional applications and processes to the cloud; cloud development environments; increased distribution in teams and resources; increased diversity in requirements; changes in how software is developed, tested, deployed, accessed, and maintained. These trends have in turn introduced factors such as: massive scale; additional layers of complexity in abstraction levels, entity characteristics and entity relationships within the development process. This additional layer of complexity translates into increase in contexts i.e., information that can be used to characterize states of entities. This is in addition to existing traditional complexity i.e., measure of proportionality of activities and tasks within the process. Some notable efforts towards improving collaboration in software development in the cloud include: transitioning development environments, tools and teams to the cloud; provision of code repositories and version control functionality to support collaboration between developers; provision of platforms to enhance collaboration between developers and end-users in early stages of the process via registered project campaigns and targeted questionnaires; provision of platforms with integrated social networking tools. However, an essential missing piece for more effective context-aware collaboration in the process is, the need for ways of addressing resultant complexity from cloud adoption and capturing actionable contexts. Capturing and communicating contextual information can help improve awareness and understanding and facilitate role-based coordination of distributed team members including users, and not just developers. This would ensure all stakeholders are always on the same page even if not in same location, across all phases of development. The main aim of this research study is to apply a new architecture framework underpinned by the right theoretical foundations, capable of leveraging cloud capabilities, harnessing contexts and addressing complexity to enhance context-aware collaboration in cloud-based software development. To achieve this aim, knowledge gleaned from the systematic literature review and the gap-impact analysis was thematized and synthesized to provide optimal recommendations to serve as roadmap guide for the development and evaluation carried out, and subsequent knowledge contributions. Key dimensions were adapted, along with development of classifications for approaches to enhancing collaboration in software development in the cloud. The key dimensions created were for - assessing collaboration needs; definition of context data and levels; collecting, categorizing, analysing, and applying contextual information to tasks, activities, and stages within software development in the cloud. These dimensions and classifications are useful for identification of reliable ways of measuring collaboration and success factors, as well as managing complexity and ensuring synchronous regularity of process and understanding within the development process in the cloud. A formal process was proposed to aid selection of an appropriate theoretical basis and assembling of a theoretical framework and methodology to underpin the architecture for enhancing context-aware collaboration in cloud-based software development. This was necessary due to the current lack of a de-facto architecture method for cloud-based software development. An activity theory-based architecture has been designed and developed, along with a Proof-of-Concept (POC) implementation that leverages cloud capabilities, for evaluation of the architecture. This architecture presents a novel approach for enhancing collaboration in software development in the cloud due to its underlying activity theory-based tenets that considers ‘activity’ as the unit of analysis, and ideal for activity systems and ease of identification of congruencies and contradictions present or capable impacting related components of the activity system and its ecosystem. The conclusions for this research study, limitations and future research directions have been discussed at the end of this thesis work