Design Study "Lite" Methodology: Expediting Design Studies and Enabling the Synergy of Visualization Pedagogy and Social Good

Abstract: Design studies are frequently used to conduct problem-driven visualization research by working with real-world domain experts. In visualization pedagogy, design studies are often introduced but rarely practiced due to their large time requirements. This limits students to a classroom curriculum, often involving projects that may not have implications beyond the classroom. Thus we present the Design Study "Lite" Methodology, a novel framework for implementing design studies with novice students in 14 weeks. We utilized the Design Study "Lite" Methodology in conjunction with Service-Learning to teach five Data Visualization courses and demonstrate that it benefits not only the students but also the community through service to non-profit partners. In this paper, we provide a detailed breakdown of the methodology and how Service-Learning can be incorporated with it. We also include an extensive reflection on the methodology and provide recommendations for future applications of the framework for teaching visualization courses and research.

06/12/2020

Zaiqiao Meng, Richard McCreadie, Craig Macdonald and
Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang

spatial design, design support system, design collaboration, prototyping, tangible user interface, augmented reality, human-computer interaction

15:04

02/02/2021

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin and
Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

Yiren Chen, Yaming Yang, Hong Sun and
Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang

Planning and Scheduling, Model-Based Reasoning, Planning Algorithms, Planning and Scheduling, Action, Change and Causality

13:38

02/02/2021

continuous improvement methodology, test automation, knowledge base, benchmarking, differential diagnosis, clinical decision support, simulation

11:13

14/09/2020

Giovanni Troiano, Qinyu Chen, Angela Vargas Alba and
Gregorio Robles, Michael Cassidy, Eli Tucker-Raymond, Gillian Puttick, Casper Harteveld

Amar Viswanathan Kannan, Dmitriy Fradkin, Ioannis Akrotirianakis and
Tugba Kulahcioglu, Arquimedes Canedo, Aditi Roy, Shih-Yuan Yu, Malawade Arnav, Mohammad Abdullah Al Faruque

Keywords Paper

multimodal information retrieval, scientific knowledge graphs, knowledge graphs, scientific knowledge graph exploration, deep learning

4:51

25/04/2020