D-Macs: Building Multi-Device User Interfaces by Demonstrating, Sharing and Replaying Design Actions

Multi-device user interface design mostly implies creating a suitable interface for each targeted device, using a diverse set of design tools and toolkits. This is a time consuming activity, concerning a lot of repetitive design actions without support for reusing this effort in later designs. In this paper, we propose D-Macs: a design tool that allows designers to record their design actions across devices, to share these actions with other designers and to replay their own design actions and those of others. D-Macs lowers the burden in multi-device user interface design and can reduce the necessity for manually repeating design actions. ACM Classification: H5.2 [Information interfaces and presentation]

Jelly: A multi-device design environment for managing consistency across devices

When creating applications that should be available on multiple computing platforms, designers have to cope with different design tools and user interface toolkits. Incompatibilities between these design tools and toolkits make it hard to keep multi-device user interfaces consistent. This paper presents Jelly, a flexible design environment that can target a broad set of computing devices and toolkits. Jelly enables designers to copy parts of a user interface from one device to another and to maintain the different user interfaces in concert using linked editing. Our approach lowers the burden of designing multi-device user interfaces by eliminating the need to switch between different design tools and by providing tool support for keeping the user interfaces consistent across different platforms and toolkits

Gummy for multi-platform user interface designs: Shape me, multiply me, fix me, use me

Designers still often create a specific user interface for every target platform they wish to support, which is timeconsuming and error-prone. The need for a multi-platform user interface design approach that designers feel comfortable with increases as people expect their applications and data to go where they go. We present Gummy, a multiplatform graphical user interface builder that can generate an initial design for a new platform by adapting and combining features of existing user interfaces created for the same application. Our approach makes it easy to target new platforms and keep all user interfaces consistent without requiring designers to considerably change their work practice

Using social network knowledge for detecting spider constructions in social security fraud

As social networks offer a vast amount of additional information to enrich standard learning algorithms, the most challenging part is extracting relevant information from networked data. Fraudulent behavior is imperceptibly concealed both in local and relational data, making it even harder to define useful input for prediction models. Starting from expert knowledge, this paper succeeds to efficiently incorporate social network effects to detect fraud for the Belgian governmental social security institution, and to improve the performance of traditional non-relational fraud prediction tasks. As there are many types of social security fraud, this paper concentrates on payment fraud, predicting which companies intentionally disobey their payment duties to the government. We introduce a new fraudulent structure, the so-called spider constructions, which can easily be translated in terms of social networks and included in the learning algorithms. Focusing on the egonet of each company, the proposed method can handle large scale networks. In order to face the skewed class distribution, the SMOTE approach is applied to rebalance the data. The models were trained on different timestamps and evaluated on varying time windows. Using techniques as Random Forest, logistic regression and Naive Bayes, this paper shows that the combined relational model improves the AUC score and the precision of the predictions in comparison to the base scenario where only local variables are used.status: publishe

Finding a needle in a haystack: an interactive video archive explorer for professional video searchers

Professional video searchers typically have to search for particular video fragments in a vast video archive that contains many hours of video data. Without having the right video archive exploration tools, this is a difficult and time consuming task that induces hours of video skimming. We propose the video archive explorer, a video exploration tool that provides visual representations of automatically detected concepts to facilitate individual and collaborative video search tasks. This video archive explorer is developed by employing a user-centred methodology, which ensures that the tool is more likely to fit to the end user needs. A qualitative evaluation with professional video searchers shows that the combination of automatic video indexing, interactive visualisations and user-centred design can result in an increased usability, user satisfaction and productivity.Haesen M., Meskens J., Luyten K., Coninx K., Becker J.H., Tuytelaars T., Poulisse G.-J., Pham The P., Moens M.-F., ''Finding a needle in a haystack: an interactive video archive explorer for professional video searchers'', Multimedia tools and applications, vol. 63, no. 2, pp. 331-356, 2013.status: publishe