January 23, 2024
As we generate data every day to abstract the world around us, it is necessary to support effective human-data interaction across computing devices. In this talk, I present my dissertation research on how data experts interact (and wish to interact) with spatio-temporal data on tablets and large vertical displays at the workplace. Through a series of empirical studies conducted in Germany and France, I investigated, together with my co-authors, how the performance, user experience, and interaction preferences vary according to the device characteristics and the interaction modalities supported by each device. While the pen was the most used input device for exploring data on tablets, speech was the preferred modality in collaborative settings. For co-located and synchronous collaborative work, participants preferred interacting unimodally, changing modalities depending on the task and the distance from the display. I present the lessons learned from applying participatory methods to visualization and interaction design, together with design considerations for multimodal and collaborative systems to support data exploration and sensemaking.
Gabriela Molina León is a PhD Candidate at the Institute of Information Management Bremen (ifib) at the University of Bremen. She is also a member of the Collaborative Research Center 1342 "Global Dynamics of Social Policy". As part of her research, she has co-authored several publications on questions regarding the design of interactive tools to support domain experts in performing visual data exploration and sensemaking, using participatory methods, at the intersection of information visualization and human-computer interaction. She is also one of the organizers of the Data Visualization Bremen meetup.