D-Tour: Semi-Automatic Generation of Interactive Guided Tours for Visualization Dashboard Onboarding
Vaishali Dhanoa, Andreas Hinterreiter, Vanessa Fediuk, Niklas Elmqvist, Eduard Gröller, Marc Streit · 2024 · 2 citationsRead the paper
Onboarding a user to a visualization dashboard entails explaining its various components, including the chart types used, the data loaded, and the interactions available. Authoring such an onboarding experience is time-consuming and requires significant knowledge and little guidance on how best to complete this task. Depending on their levels of expertise, end users being onboarded to a new dashboard can be either confused and overwhelmed or disinterested and disengaged. We propose interactive dashboard tours (D-Tours) as semi-automated onboarding experiences that preserve the agency of users with various levels of expertise to keep them interested and engaged. Our interactive tours concept draws from open-world game design to give the user freedom in choosing their path through onboarding. We have implemented the concept in a tool called D-TOUR Prototype, which allows authors to craft custom interactive dashboard tours from scratch or using automatic templates. Automatically generated tours can still be customized to use different media (e.g., video, audio, and highlighting) or new narratives to produce an onboarding experience tailored to an individual user. We demonstrate the usefulness of interactive dashboard tours through use cases and expert interviews. Our evaluation shows that authors found the automation in the D-Tour Prototype helpful and time-saving, and users found the created tours engaging and intuitive. This paper and all supplemental materials are available at https://osf.io/6fbjp/.
What the full text shows
Working prototype- Authors found the semi-automated tour generation helpful and time-saving compared to manual onboarding. (Using the D-Tour Prototype)
- Manual in-person onboarding of a single user can take up to 30 minutes. — 30 minutes (Based on expert interviews; varies by dashboard size and complexity)
- End-users found the interactive onboarding narratives engaging and intuitive. (User study for onboarding mode)
- Setup
- Small number of participants and dashboards; qualitative feedback from interviews and user studies.
- How
- The authors developed the D-Tour Prototype, which uses a component graph derived from Power BI REST APIs and visualization grammars to semi-automatically extract dashboard elements. They validated the tool through use cases and expert interviews with authors and end-users.
- Limitations
- Small sample size of participants and dashboards · Advanced features like multiple branchings were not fully utilized · Lack of established baseline guidelines for dashboard onboarding · Subjectivity of learning makes quantitative effectiveness measurement difficult
Summarized by Gemma 4 from the open-access full text · 9 Oct 2026. Read it