Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device Setups

TY - GEN

T1 - Vistribute

T2 - 2019 CHI Conference on Human Factors in Computing Systems

AU - Horak, Tom

AU - Mathisen, Andreas

AU - Klokmose, Clemens Nylandsted

AU - Dachselt, Raimund

AU - Elmqvist, Niklas

PY - 2019

Y1 - 2019

N2 - We present Vistribute, a framework for the automatic distribution of visualizations and UI components across multiple heterogeneous devices. Our framework consists of three parts: (i) a design space considering properties and relationships of interactive visualizations, devices, and user preferences in multi-display environments; (ii) specific heuristics incorporating these dimensions for guiding the distribution for a given interface and device ensemble; and (iii) a web-based implementation instantiating these heuristics to automatically generate a distribution as well as providing interaction mechanisms for user-defined adaptations. In contrast to existing UI distribution systems, we are able to infer all required information by analyzing the visualizations and devices without relying on additional input provided by users or programmers. In a qualitative study, we let experts create their own distributions and rate both other manual distributions and our automatic ones. We found that all distributions provided comparable quality, hence validating our framework.

AB - We present Vistribute, a framework for the automatic distribution of visualizations and UI components across multiple heterogeneous devices. Our framework consists of three parts: (i) a design space considering properties and relationships of interactive visualizations, devices, and user preferences in multi-display environments; (ii) specific heuristics incorporating these dimensions for guiding the distribution for a given interface and device ensemble; and (iii) a web-based implementation instantiating these heuristics to automatically generate a distribution as well as providing interaction mechanisms for user-defined adaptations. In contrast to existing UI distribution systems, we are able to infer all required information by analyzing the visualizations and devices without relying on additional input provided by users or programmers. In a qualitative study, we let experts create their own distributions and rate both other manual distributions and our automatic ones. We found that all distributions provided comparable quality, hence validating our framework.

KW - Cross-device interaction

KW - Cross-device visualization

KW - Distributed user interfaces

KW - Infovis

KW - Multi-display environments

UR - http://www.scopus.com/inward/record.url?scp=85067271621&partnerID=8YFLogxK

U2 - 10.1145/3290605.3300846

DO - 10.1145/3290605.3300846

M3 - Article in proceedings

SN - 978-1-4503-5970-2

BT - CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

CY - New York

Y2 - 4 May 2019 through 9 May 2019

ER -