MIVA: Multimodal interactions for facilitating visual analysis with multiple coordinated views

Imran Chowdhury, Abdul Moeid, Enamul Hoque, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam

Research output: Book chapter/Published conference paperConference paperpeer-review

3 Citations (Scopus)


Typically, people perform visual data analysis using mouse and touch interactions. While such interactions are often easy to use, they can be inadequate for users to express complex information and may require many steps to complete a task. Recently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the
user can express a complex analytical question more easily. In this paper, we investigate how to synergistically combine language and mouse-based direct manipulations so that weakness of one modality can be complemented by the other. To this end, we have developed a novel system, named Multimodal Interactions System for Visual Analysis (MIVA), that allows user to provide
input using both natural language (e.g., through speech) and direct manipulation (e.g., through mouse or touch) and presents the answer accordingly. To answer the current question in the context of past interactions, the system incorporates previous utterances and direct manipulations made by the user within a finite-state model. We tested the applicability of MIVA on several dashboards including a COVID-19 dashboard that visualizes coronavirus cases around the globe. Our demonstration provides initial indication that the MIVA system enhances the flow of visual analysis by enabling fluid, iterative exploration and refinement of data in a dashboard with multiple-coordinated views.
Original languageEnglish
Title of host publication24th International Conference Information Visualisation (IV)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781728191348
ISBN (Print)9781728191355
Publication statusPublished - 2020
Event24th International Conference Information Visualisation: IV2020 - online
Duration: 07 Sep 202011 Sep 2020


Conference24th International Conference Information Visualisation
Internet address


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  • York University

    Ashad Kabir (Visiting researcher)

    04 Nov 201908 Nov 2019

    Activity: Visiting an external institutionVisiting an external organisationAcademic

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