Including a feedforward mechanism significantly increases the complexity of the interactive application hardening developers’ tasks to detect and correct defects. Our approach, Fortunettes, is a generic mechanism providing a systematic way of designing feedforward addressing both action and presentation problems. impact than just reduced user comfort, correct feedforward is an essential step toward correctly informed, and thus safe, usage. For interactive applications where making a mistake has more. While feedback can be easily solved by providing information to the users following the triggering of an action, feedforward is much more complex as it must provide information before an action is performed. The approach, the tools and the integration are presented on a case study of a Flight Control Unit (FCU) used in aircraft cockpits.įeedback and feedforward are two fundamental mechanisms that support users’ activities while interacting with computing devices. This task-application integration allows the exploitation of task models at run time bringing in the benefits listed above to any interactive application. #Radar in motion widget code#Depending on the fact that the code of the application is available or not, the fact that the application has been prepared at programming time for such integration or not, we propose different alternatives to perform such correspondence (in a tool-supported way). The main contribution of the paper lies in the definition of a systematic correspondence between the user interface elements of the interactive application and the low level tasks in the task model. To this end, we introduce a framework for connecting task models to an existing, executable, interactive application. This paper proposes a tool-supported framework for exploiting task models throughout the development process and even when the interactive application is deployed and used. However, tasks models can also be of great help for instance when used to support training material production, for training of operators and for providing tasks and goals oriented contextual help while the interactive application is being used. right after the early stages of the design process are performed. Despite those advantages, task models are usually perceived as a very expensive artefact to build that has to be thrown away as soon as the interactive application has been designed, i.e. that the application allows users to reach their goals and perform their tasks. Indeed, task models is one of the very few means for ensuring effectiveness of the application i.e. Task models are a very powerful artefact describing users' goals and users' activity and contain numerous information extremely useful for designing usable interactive application. From our results, we propose several implications and directions for future research to-wards this goal. The time is ripe for the HCI community to ensure that the powerful new autonomous systems have intelligible interfaces built-in. We reveal fading and burgeoning trends in explainable systems, and identify domains that are closely connected or mostly isolated. #Radar in motion widget software#Using topic modeling, co-occurrence and network analysis, we mapped the research space from diverse domains, such as algorith-mic accountability, interpretable machine learning, context-awareness, cognitive psychology, and software learnability. We investigate how HCI researchers can help to develop accountable systems by performing a literature analysis of 289 core papers on explanations and explaina-ble systems, as well as 12,412 citing papers. As these systems augment our everyday lives, it becomes increasing-ly important for people to understand them and remain in control. Advances in artificial intelligence, sensors and big data management have far-reaching societal impacts.
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