Addressing Co-text Loss with Multiple Visualizations for Chat Messages

Authors:
Torsten Holmer;Stephan Lukosch;Verena Kunz
Affiliations:
School of Informatics, Communications, and Media, Upper Austria University of Applied Sciences, Hagenberg, Austria 4232;Faculty of Technology, Policy and Management, Systems Engineering Department, Delft University of Technology, Delft, The Netherlands 2628BX;Department of Mathematics and Computer Science, FernUniversität in Hagen, Hagen, Germany 58084
Venue:
Groupware: Design, Implementation, and Use
Year:
2009

Citing 7
Cited 0

Alternative interfaces for chat

Proceedings of the 12th annual ACM symposium on User interface software and technology
Conversation trees and threaded chats

CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Interactional Coherence in CMC

HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 2 - Volume 2
Explicit referencing in chat supports collaborative learning

CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
Patterns for Computer-Mediated Interaction (Wiley Software Patterns Series)

Patterns for Computer-Mediated Interaction (Wiley Software Patterns Series)
Co-text loss in textual chat tools

CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Explicit referencing in learning chats: needs and acceptance

EC-TEL'06 Proceedings of the First European conference on Technology Enhanced Learning: innovative Approaches for Learning and Knowledge Sharing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article we address the problem of co-text-loss in chat communication, identify requirements for a solution, discuss related work and present a new approach for addressing co-text loss in text-based chats. We report about first experiences with our solution and give an outlook on future work directions. The core idea of our solution MuViChat (multiple-visualization chat) is to support multiple visualizations of referenced chat transcripts in which users can choose their preferred view. By enabling the recording and replaying of chat discussions and an extensible modular architecture we are supporting evaluation and further integration of advanced visualization concepts.