Surface Computing and Collaborative Analysis Work

Brown, Judith M.; Wilson, Jeff; Gossage, Stevenson; Hack, Chris; Biddle, Robert

doi:10.2200/s00492ed1v01y201303hci019

Cited by 12 publications

(7 citation statements)

References 149 publications

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“…Surface computing is still a maturing technology, which has become a more natural alternative to traditional mouse and keyboard input by enabling multi-touch interaction using fingers, hands, or special pens (Brown, Wilson, Gossage, Hack, & Biddle, 2013). Similarly, tangible interfaces offer the additional advantage of allowing users to manipulate physical objects and thus receive haptic feedback, which is more naturalistic for tasks that require the experience of textures, modelling realistic spatial representations, or mastering visual-motor skills (Evans, Drechsel, Woods, & Cui, 2010;Schneider & Blikstein, 2015a;Schneider, Jermann, Zufferey, & Dillenbourg, 2011).…”

Section: Touch and Tangible Surfaces In Educationmentioning

confidence: 99%

Learning Analytics for Natural User Interfaces: A Framework, Case Studies and a Maturity Analysis

et al. 2017

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ABSTRACT:The continuous advancement of natural user interfaces (NUIs) allows for the development of novel and creative ways to support collocated collaborative work in a wide range of areas, including teaching and learning. The use of NUIs, such as those based on interactive multi-touch surfaces and tangible user interfaces (TUIs), can offer unique opportunities for learning, for automatically capturing digital traces of students' multimodal interactions, and for facilitating multi-user exploration of student data. We used a composite framework to characterize our first-hand experiences and a small number of related deployments. The dimensions of analysis considered include the orchestration activities involved, the phases of pedagogical practice supported, the target actors, the iteration of the LA process, and the levels of impact of the LA deployment. Results from our analysis helped us identify the current trends, gaps, challenges, and pedagogical opportunities of the application of LA and the use of NUIs for supporting learning.

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Section: Touch and Tangible Surfaces In Educationmentioning

confidence: 99%

Learning Analytics for Natural User Interfaces: A Framework, Case Studies and a Maturity Analysis

et al. 2017

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“…ACD has its theoretical basis in Activity Theory, which defines activities and actions taken by users to achieve a specific goal. Activity Theory is a broad framework that provides a cultural, social, developmental, and tool-centric perspective on people engaged in activities [4].…”

Section: Introductionmentioning

confidence: 99%

A pattern-based approach to activity design in creative work supported by surface computing

Magallanes

Sánchez

2015

2015 International Conference on Electronics, Communications and Computers (CONIELECOMP)

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This paper presents a model for creativity processes that take advantage of multi-touch surfaces. Our model is based on Activity Theory and a collection of patterns we have derived from analyzing existing methods for generating ideas. We present our review of such existing methodologies, which provides a useful perspective view of related work, we discuss the components of the proposed model, as well as its applications for leveraging the development of tools that support creativity processes using multi-touch surfaces.

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“…Our general approach is the application of surface technology to collaboration, and especially analysis work [2]. In this, we emphasize the potential for surface technology to support complex collaborative work.…”

Section: Introductionmentioning

confidence: 99%

ACH Walkthrough

Wilson

Brown

Biddle

2014

Proceedings of the 2014 ACM Workshop on Security Information Workers

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This paper presents Ach Walkthrough, a prototype software client-server application to demonstrate the potential benefits of surface technologies in collaborative security intelligence analysis. The basis is the ACH (Analysis of Competing Hypotheses) technique, which requests factors relating to evidence and hypotheses, and builds a model that reduces cognitive bias, thereby helping decision-making. Our application supports development of this model using visualization techniques that allow collaboration and reflection. The technology we use is surface computing, where analysts work around a large multi-touch display, but also multidevice technology, where the model is consistent across various large and small displays. The software runs in standard web-browsers, leveraging HTML5 and JavaScript libraries on both client and server. This allows deployment without installation, and thus security and flexibility.

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Surface Computing and Collaborative Analysis Work

Cited by 12 publications

References 149 publications

Learning Analytics for Natural User Interfaces: A Framework, Case Studies and a Maturity Analysis

Learning Analytics for Natural User Interfaces: A Framework, Case Studies and a Maturity Analysis

A pattern-based approach to activity design in creative work supported by surface computing

ACH Walkthrough

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