Multimodal Analytics for Real-Time Feedback in Co-located Collaboration

Conference paper (2018)

Authors

Sambit Praharaj Open University of the Netherlands
Maren Scheffel Open University of the Netherlands
Hendrik Drachsler Open University of the Netherlands, Goethe University, DIPF
M.M. Specht Open University of the Netherlands
Affiliation
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Published Date

2018

Language

English

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Abstract

Collaboration is an important 21st century skill; it can take place in a remote or co-located setting. Co-located collaboration (CC) is a very complex process which involves subtle human interactions that can be described with multimodal indicators (MI) like gaze, speech and social skills. In this paper, we first give an overview of related work that has identified indicators during CC. Then, we look into the state-of-the-art studies on feedback during CC which also make use of MI. Finally, we describe a Wizard of Oz (WOz) study where we design a privacy-preserving research prototype with the aim to facilitate real-time collaboration in-the-wild during three co-located group PhD meetings (of 3–7 members). Here, human observers stationed in another room act as a substitute for sensors to track different speech-based cues (like speaking time and turn taking); this drives a real-time visualization dashboard on a public shared display. With this research prototype, we want to pave way for design-based research to track other multimodal indicators of CC by extending this prototype design using both humans and sensors.