Chatbot (and voicebot) applications are increasingly adopted in various domains such as e-commerce or customer services as a direct communication channel between companies and end-users. Multiple frameworks have been developed to ease their definition and deployment. While these frameworks are efficient to design simple chatbot applications, they still require advanced technical knowledge to define complex interactions and are difficult to evolve along with the company needs (e.g. it is typically impossible to change the NL engine provider). In addition, the deployment of a chatbot application usually requires a deep understanding of the targeted platforms, especially back-end connections, increasing the development and maintenance costs. In this paper, we introduce the Xatkit framework. Xatkit tackles these issues by providing a set of Domain Specific Languages to define chatbots (and voicebots and bots in general) in a platform-independent way. Xatkit also comes with a runtime engine that automatically deploys the chatbot application and manages the defined conversation logic over the platforms of choice. Xatkit's modular architecture facilitates the separate evolution of any of its components. Xatkit is open source and fully available online. INDEX TERMS Modeling, DSL, chatbot design, chatbot deployment.

During the evolution of an application, it happens that developers must change the programming language. In the context of a collaboration with Berger-Levrault, a major IT company, we are working on the migration of a GWT application to Angular. We focus on the GUI aspect of this migration which, even if both frameworks are web Graphical User Interface (GUI) frameworks, is made difficult because they use different programming languages and different organization schema. Such migration is complicated by the fact that the new application must be able to mimic closely the visual aspect of the old one so that the users of the application are not disrupted. We propose an approach in four steps that uses a meta-model to represent the GUI at a high abstraction level. We evaluated this approach on an application comprising 470 Java (GWT) classes representing 56 pages. We are able to model all the web pages of the application and 93% of the widgets they contain, and we successfully migrated 26 out of 39 pages (66%). We give examples of the migrated pages, both successful and not.

In the field of remote sensing, it is very common to use data from several sensors in order to make classification or segmentation. Most of the standard Remote Sensing analysis use machine learning methods based on image descriptions as HOG or SIFT and a classifier as SVM. In recent years neural networks have emerged as a key tool regarding the detection of objects. Due to the heterogeneity of information (optical, infrared, LiDAR), the combination of multi-source data is still an open issue in the Remote Sensing field. In this paper, we focus on managing data from multiple sources for the task of localization of urban trees in multi-source (optical, infrared, DSM) aerial images and we evaluate the different effects of preprocessing on the input data of a CNN.

Figure 1.a) The Roly-Poly Mouse (RPM) gestures. RPM can be used for b) 2D pointing; c-d) 3D translation by combining RPM translation and roll; e) and 3D rotation by combining RPM roll and rotation. ABSTRACTWe present the design and evaluation of the Roly-Poly Mouse (RPM), a rolling input device that combines the advantages of the mouse (position displacement) and of 3D devices (roll and rotation) to unify 2D and 3D interaction. Our first study explores RPM gesture amplitude and stability for different upper shapes (Hemispherical, Convex) and hand postures. 8 roll directions can be performed precisely and their amplitude is larger on Hemispherical RPM. As minor rolls affect translation, we propose a roll correction algorithm to support stable 2D pointing with RPM. We propose the use of compound gestures for 3D pointing and docking, and evaluate them against a commercial 3D device, the SpaceMouse. Our studies reveal that RPM performs 31% faster than the SpaceMouse for 3D pointing and equivalently for 3D rotation. Finally, we present a proof-of-concept integrated RPM prototype along with discussion on the various technical challenges to overcome to build a final integrated version of RPM.

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