Collocated Collaboration Analytics
Principles and Dilemmas for Mining Multimodal Interaction Data
Bibliographic Data
| ID | 15215944 |
|---|---|
| Authors | Roberto Martínez‐Maldonado (0000-0002-8375-1816, University of Technology Sydney, corresponding author), Judy Kay (0000-0001-6728-2768, The University of Sydney), Simon Buckingham Shum (0000-0002-6334-7429, University of Technology Sydney), Kalina Yacef (0000-0001-7521-6429, The University of Sydney) |
| Year | 2017 |
| Volume | 34 |
| Issue | 1 |
| Pages | 1-50 |
| Publication date | 2017-06-08 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human-Computer Interaction (JOURNAL) |
| Journal identifiers | ISSN: 0737-0024 • E-ISSN: 1532-7051 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/07370024.2017.1338956 |
| OpenAlex | W2624103253 |
| Language | EN |
| Citations received | 10 |
| References cited | 39 |
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
Analytics · Coaching · Data science · Facilitator · Human–computer interaction · Key (lock · Knowledge management · Reflection (computer programming · Set (abstract data type · Variety (cybernetics · Big Data and Business Intelligence · Computer Science · Data Visualization and Analytics · Mobile Crowdsensing and Crowdsourcing · Artificial Intelligence
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| Unique citing works | 10 |
|---|---|
| Citations per year | 1.67 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |