This paper describes the design and evaluation of a user interface for a remotely supervised autonomous agricultural sprayer. The interface was designed to help the remote supervisor to instruct the autonomous sprayer...This paper describes the design and evaluation of a user interface for a remotely supervised autonomous agricultural sprayer. The interface was designed to help the remote supervisor to instruct the autonomous sprayer to commence operation, monitor the status of the sprayer and its operation in the field, and intervene when needed (i.e., to stop or shut down). Design principles and guidelines were carefully selected to help develop a human-centered automation interface. Evaluation of the interface using a combination of heuristic, cognitive walkthrough, and user testing techniques revealed several strengths of the design as well as areas that needed further improvement. Overall, this paper provides guidelines that will assist other researchers to develop an ergonomic user interface for a fully autonomous agricultural machine.展开更多
Recent years have witnessed the widespread adoption of mobile applications(apps for short).For quality-of-service and commercial competitiveness,sufficient Graphical User Interface(GUI)testing is required to verify th...Recent years have witnessed the widespread adoption of mobile applications(apps for short).For quality-of-service and commercial competitiveness,sufficient Graphical User Interface(GUI)testing is required to verify the robustness of the apps.Given that testing with manual efforts is time-consuming and error-prone,automated GUI testing has been widely studied.However,existing approaches mostly focus on GUI exploration while lacking attention to complex interactions with apps,especially generating appropriate text inputs like real users.In this paper,we introduce CamDroid,a lightweight context-aware automated GUI testing tool,which can efficiently explore app activities through(1)a model-based UI-guided testing strategy informed by the context of previous event-activity transitions and(2)a data-driven text input generation approach regarding the GUI context.We evaluate CamDroid on 20 widely-used apps.The results show that CamDroid outperforms non-trivial baselines in activity coverage,crash detection,and test efficiency.展开更多
文摘This paper describes the design and evaluation of a user interface for a remotely supervised autonomous agricultural sprayer. The interface was designed to help the remote supervisor to instruct the autonomous sprayer to commence operation, monitor the status of the sprayer and its operation in the field, and intervene when needed (i.e., to stop or shut down). Design principles and guidelines were carefully selected to help develop a human-centered automation interface. Evaluation of the interface using a combination of heuristic, cognitive walkthrough, and user testing techniques revealed several strengths of the design as well as areas that needed further improvement. Overall, this paper provides guidelines that will assist other researchers to develop an ergonomic user interface for a fully autonomous agricultural machine.
基金supported by the National Key R&D Program of China(No.2022YFB4500703)the National Natural Science Foundation of China(Nos.61902211 and 62202266)+1 种基金the China Postdoctoral Science Foundation(No.2022M721831)Microsoft Research Asia(No.100336949).
文摘Recent years have witnessed the widespread adoption of mobile applications(apps for short).For quality-of-service and commercial competitiveness,sufficient Graphical User Interface(GUI)testing is required to verify the robustness of the apps.Given that testing with manual efforts is time-consuming and error-prone,automated GUI testing has been widely studied.However,existing approaches mostly focus on GUI exploration while lacking attention to complex interactions with apps,especially generating appropriate text inputs like real users.In this paper,we introduce CamDroid,a lightweight context-aware automated GUI testing tool,which can efficiently explore app activities through(1)a model-based UI-guided testing strategy informed by the context of previous event-activity transitions and(2)a data-driven text input generation approach regarding the GUI context.We evaluate CamDroid on 20 widely-used apps.The results show that CamDroid outperforms non-trivial baselines in activity coverage,crash detection,and test efficiency.
