scholarly journals A participatory design informed framework for information behaviour studies

2020 ◽  
Author(s):  
Anika Meyer ◽  
◽  
Ina Fourie ◽  
Preben Hansen ◽  
◽  
...  

Introduction. Applying participatory design in educational contextscan improve the congruence between perceptions of students, teachers and instructional designers.Information behaviour activities such as collaborative information seeking and information sharing are core to participatory design. Information behaviour studies related to participatory design must be guided by an information behaviourframework informed by the principles of participatory design. Albeit a few examples of frameworks, reference is mostly only to participatory design steps, phases and stages, with limited acknowledgement of information activities. This paper suggests a participatory design information behaviour framework for studies in educational contexts. Method. Scoping review of selected publications on participatory design and information behaviour, and participatory design in education. Analysis. Thematic analysis applied in educational context as exemplar. Results. A participatory design information behaviour framework must allow for the following constructs: context, participant selection (i.e., actors, stakeholders), definition of shared visions and purposes; roles and tasks; information resources and access; iterative information activities; participatory design steps, phases and stages; consideration of intervening factors; and finer nuances of all of these constructs. Conclusion. The suggested framework can guide information behaviour studies on participatory design with a focus on information activities.

Author(s):  
Nasser Saleh

The paper reports a research in progress to study collaborative information seeking practice of learners working in groups in a senior design project course. The research belongs to the area of educational informatics where information behaviour is studied within a learning environment. The paper presents the definition of collaboration and the conceptual models of collaborative information behaviour.


Author(s):  
Chirag Shah

The author describes Coagmento, a system that provides integrated tools and workflow for doing collaborative information seeking in online environment. Coagmento’s inception followed a need to provide essential tools to collaborators without them having to learn an entirely new system or work in an unfamiliar environment. Here they describe how the author designed, developed, and deployed Coagmento. The design of this system was facilitated using several pilot runs and cognitive walkthroughs. A fully functional version of Coagmento was then developed and evaluated using laboratory study, and its design optimized using participatory design sessions. Finally, the author describes how they made the enhanced version of Coagmento available to wider group of users, along with issues and challenges faced. They summarize lessons learned and provide a guideline for designing and developing such collaborative information seeking systems.


2016 ◽  
Vol 49 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Chirag Shah ◽  
Rob Capra ◽  
Preben Hansen

2016 ◽  
Vol 50 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Laure Soulier ◽  
Lynda Tamine ◽  
Tetsuya Sakai ◽  
Leif Azzopardi ◽  
Jeremy Pickens

Author(s):  
David Mendonça ◽  
William A. Wallace ◽  
Barbara Cutler ◽  
James Brooks

AbstractLarge-scale disasters can produce profound disruptions in the fabric of interdependent critical infrastructure systems such as water, telecommunications and electric power. The work of post-disaster infrastructure restoration typically requires information sharing and close collaboration across these sectors; yet – due to a number of factors – the means to investigate decision making phenomena associated with these activities are limited. This paper motivates and describes the design and implementation of a computer-based synthetic environment for investigating collaborative information seeking in the performance of a (simulated) infrastructure restoration task. The main contributions of this work are twofold. First, it develops a set of theoretically grounded measures of collaborative information seeking processes and embeds them within a computer-based system. Second, it suggests how these data may be organized and modeled to yield insights into information seeking processes in the performance of a complex, collaborative task. The paper concludes with a discussion of implications of this work for practice and for future research.


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