Data mining the cross-cultural communication gap

Authors:
Wendy Ark;Ben Shaw;Ana Lelescu;Susan Stucky
Affiliations:
IBM Almaden Research Center, San Jose, CA, USA;IBM Almaden Research Center, San Jose, CA, USA;IBM Almaden Research Center, San Jose, CA, USA;IBM Almaden Research Center, San Jose, CA, USA
Venue:
Proceedings of the 2009 international workshop on Intercultural collaboration
Year:
2009

Citing 3
Cited 0

Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
Mining the Talk: Unlocking the Business Value in Unstructured Information (IBM Press)

Mining the Talk: Unlocking the Business Value in Unstructured Information (IBM Press)
Distance matters

Human-Computer Interaction

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Abstract

This paper describes an exploratory method for examining cross-cultural communication gaps within a team of IT professionals (working from US and India). An automated tool to analyze structured and unstructured text data, Business Insights Workbench (BIW), was applied to their (transcribed) weekly status meeting dataset. The analysis indicates that cohesiveness (the use of similar terms in the conversation) of the group is stronger within a location than between locations. It also illustrates the difference in speaker turns (the US is six times as much as India). Though this work is exploratory, these differences are potential indicators for communication gaps.