KnowSe: Fostering user interaction context awareness

The CSCW area has recognized the concept of awareness as a critical issue to focus on (Schmidt et al., 2002) since “users who work together require adequate information about their environment” (Gross and Prinz, 2003). The environment of an individual encompasses her connections with other people, as well as with digital resources and actions (tasks or processes). If connections are not clear or hidden to the individual or to the group, the cost is a lack of awareness in the organization (McArthur and Bruza, 2003), which not only leads to inefficient cooperation but can even prevent it from being started. Unveiling the relations between persons, topics, tasks and processes to computer workers facilitates cooperative work by increasing the awareness of the personal social networks and the role of an individual in the organization, a project, or a group. These connections can be created and modeled manually but a better approach is to develop semi-automatic or even automatic tools to create and share them (McArthur and Bruza, 2003). Based on emails, McArthur and Bruza (2003) have computed such kind of connections, and suggest using more global corpora as well as taking into account dynamic ones

Complex energy simlulation using simplified user interaction mechanisms

Simulation of energy systems and associated thermodynamic domains is very powerful in delivering precise information at high resolution. Modelling software requires detailed information about the energy system. The specialised user usually has questions about specific aspects of the energy system and may not be interested in the complete set of outputs available from simulation results. Similarly the specialised user may only be concerned about a subset of the inputs provided to the software. This suggests an opportunity to develop an input / output scheme tailored for the specialised user. The power of simulation can be accessed through the use of simplified interfaces. Although these restrict flexibility in terms of model input / output data the specialised user is only interested in a subset of the capability of the underlying simulation tool. Robust results rely on a consistent underlying simulation context, this restricted interface ensures that only the parameters of interest to the users are modifiable and that other simulation parameters remain fixed ensuring a consistent and repeatable output. One such example of limited user interaction for both output and input is the ADEPT interface to whole building and plant dynamic modelling and simulation suite ESP­r (ESRU 2002). The interface was developed in the context of the UK domesticheating market. This paper describes the development of the ADEPT tool and associated spreadsheet templates in order to provide a readily usable platform for the study of domestic heating systems and controls for plant and control components manufacturers, regulatory authorities and research organisations

Enabling sustainable user interaction with domestic heating controls

Copyright @ 2011 University of BathThe way we live greatly effects the carbon emissions of our homes; heating accounts for nearly 60% of domestic energy consumption in the UK. This consumption is directly influenced by occupants through the use of their control systems. Using realworld data from buildings and observational data from users this research proposes guidelines for the design of more inclusive domestic heating controls. Two usercentred studies have been completed to date; one using controls under lab conditions and the other in a low-carbon housing development. In both studies controls were found to exclude users due to the cognitive demands placed on them, therefore creating an unnecessary barrier to reducing heat energy consumption in the home. The design principles proposed aim to help designers consider user needs when designing the interfaces of heating controls and energy management systems. By designing more inclusive and usable controls considerable energy savings could be made in the domestic context.This work is funded by the EPSRC and Buro Happold

A video object generation tool allowing friendly user interaction

In this paper we describe an interactive video object segmentation tool developed in the framework of the ACTS-AC098 MOMUSYS project. The Video Object Generator with User Environment (VOGUE) combines three different sets of automatic and semi-automatic-tool (spatial segmentation, object tracking and temporal segmentation) with general purpose tools for user interaction. The result is an integrated environment allowing the user-assisted segmentation of any sort of video sequences in a friendly and efficient manner.Peer ReviewedPostprint (published version

MalLo March: A Live Sonified Performance With User Interaction

Presented at the 22nd International Conference on Auditory Display (ICAD-2016)In this extended abstract we present a new performance piece titled MalLo March that uses MalLo, a predictive percussion instrument, to allow for real-time sonification of live performers. The piece consists of two movements where in the first movement audience members will use a web application and headphones to listen to a sonification of MalLo instruments as they are played live on stage. During the second movement each audience member will use an interface in the web app to design their own sonification of the instruments to create a personalized version of the performance. We present an overview of the hardware and interaction design, highlighting various listening modes that provide audience members with different levels of control in designing the sonification of the live performers

Exploiting the user interaction context for automatic task detection

Detecting the task a user is performing on her computer desktop is important for providing her with contextualized and personalized support. Some recent approaches propose to perform automatic user task detection by means of classifiers using captured user context data. In this paper we improve on that by using an ontology-based user interaction context model that can be automatically populated by (i) capturing simple user interaction events on the computer desktop and (ii) applying rule-based and information extraction mechanisms. We present evaluation results from a large user study we have carried out in a knowledge-intensive business environment, showing that our ontology-based approach provides new contextual features yielding good task detection performance. We also argue that good results can be achieved by training task classifiers `online' on user context data gathered in laboratory settings. Finally, we isolate a combination of contextual features that present a significantly better discriminative power than classical ones