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您的检索式：作者名="Davide Ceneda"
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| 1 | Perspectives of visualization onboarding and guidance in VA显示文摘A typical problem in Visual Analytics(VA)is that users are highly trained experts in their application domains,but have mostly no experience in using VA systems.Thus,users often have difficulties interpreting and working with visual representations.To overcome these problems,user assistance can be incorporated into VA systems to guide experts through the analysis while closing their knowledge gaps.Different types of user assistance can be applied to extend the power of VA,enhance the user’s experience,and broaden the audience for VA.Although different approaches to visualization onboarding and guidance in VA already exist,there is a lack of research on how to design and integrate them in effective and efficient ways.Therefore,we aim at putting together the pieces of the mosaic to form a coherent whole.Based on the Knowledge-Assisted Visual Analytics model,we contribute a conceptual model of user assistance for VA by integrating the process of visualization onboarding and guidance as the two main approaches in this direction.As a result,we clarify and discuss the commonalities and differences between visualization onboarding and guidance,and discuss how they benefit from the integration of knowledge extraction and exploration.Finally,we discuss our descriptive model by applying it to VA tools integrating visualization onboarding and guidance,and showing how they should be utilized in different phases of the analysis in order to be effective and accepted by the user. | Christina Stoiber Davide Ceneda Markus Wagner Victor Schetinger Theresia Gschwandtner Marc Streit Silvia Miksch Wolfgang Aigner | 2022 | Visual Informatics2022，6，1： | 0 |
| 2 | You get by with a little help:The effects of variable guidance degrees on performance and mental state显示文摘Since it can be challenging for users to effectively utilize interactive visualizations,guidance is usually provided to assist users in solving tasks.Guidance is mentioned as an effective mean to overcome stall situations occurring during the analysis.However,the effectiveness of a peculiar guidance solution usually varies for different analysis scenarios.The same guidance may have different effects on users with(1)different levels of expertise.The choice of the appropriate(2)degree of guidance and the type of(3)task under consideration also affect the positive or negative outcome of providing guidance.Considering these three factors,we conducted a user study to investigate the effectiveness of variable degrees of guidance with respect to the user’s previous knowledge in different analysis scenarios.Our results shed light on the appropriateness of certain degrees of guidance in relation to different tasks,and the overall influence of guidance on the analysis outcome in terms of user’s mental state and analysis performance. | Davide Ceneda Theresia Gschwandtner Silvia Miksch | 2019 | Visual Informatics2019，3，4： | 0 |
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