Collocated Collaboration Analytics: Principles and Dilemmas for Mining Multimodal Interaction Data

© 2019, Copyright © 2017 Taylor & Francis Group, LLC. Learning to collaborate effectively requires practice, awareness of group dynamics, and reflection; often it benefits from coaching by an expert facilitator. However, in physical spaces it is not always easy to provide teams with evidence to support collaboration. Emerging technology provides a promising opportunity to make collocated collaboration visible by harnessing data about interactions and then mining and visualizing it. These collocated collaboration analytics can help researchers, designers, and users to understand the complexity of collaboration and to find ways they can support collaboration. This article introduces and motivates a set of principles for mining collocated collaboration data and draws attention to trade-offs that may need to be negotiated en route. We integrate Data Science principles and techniques with the advances in interactive surface devices and sensing technologies. We draw on a 7-year research program that has involved the analysis of six group situations in collocated settings with more than 500 users and a variety of surface technologies, tasks, grouping structures, and domains. The contribution of the article includes the key insights and themes that we have identified and summarized in a set of principles and dilemmas that can inform design of future collocated collaboration analytics innovations

Usability Engineering and PPGIS - Towards a Learning-improving Cycle

July 21 - 2

(Re)Design to Mitigate Political Polarization : Reflecting Habermas' ideal communication space in the United States of America and Finland

Social Media platforms are increasingly being used for political activities and communication, and research suggests that social media design and use is contributing to the polarization of the public sphere. This study draws on Habermas' ideals concerning deliberative democracy to explore if novel interface designs that diversify information sources through content recommendation, can decrease polarization. Through a design-probe interview approach and insights generated from 19 political and citizen experts in Finland and the United States, we found that our deliberative design can lead to depolarization, while creating additional complexity through which users question content and information. We discuss the need to move beyond naive content recommendation, and user interface level changes, in order to work towards a depolarized public sphere.Peer reviewe