Collaboration and Technology: 21st International Conference, CRIWG 2015, Yerevan, Armenia, September 22-25, 2015, Proceedings

259 Pages·2015·27.5 MB·English

by  Nelson Baloian

Nelson Baloian
Yervant Zorian
Perouz Taslakian
Samvel Shoukouryan (Eds.)
4 Collaboration
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and Technology
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21st International Conference, CRIWG 2015
Yerevan, Armenia, September 22–25, 2015
Proceedings
123
Lecture Notes in Computer Science 9334
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Lancaster University, Lancaster, UK
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Carnegie Mellon University, Pittsburgh, PA, USA
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University of Surrey, Guildford, UK
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Cornell University, Ithaca, NY, USA
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ETH Zurich, Zürich, Switzerland
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Stanford University, Stanford, CA, USA
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Weizmann Institute of Science, Rehovot, Israel
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Indian Institute of Technology, Madras, India
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TU Dortmund University, Dortmund, Germany
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University of California, Los Angeles, CA, USA
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University of California, Berkeley, CA, USA
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Max Planck Institute for Informatics, Saarbrücken, Germany
More information about this series at http://www.springer.com/series/7409
Nelson Baloian Yervant Zorian
(cid:129)
Perouz Taslakian Samvel Shoukouryan (Eds.)
(cid:129)
Collaboration
and Technology
21st International Conference, CRIWG 2015
–
Yerevan, Armenia, September 22 25, 2015
Proceedings
123
Editors
NelsonBaloian Perouz Taslakian
DCC, UniversidaddeChile American University of Armenia
Santiago Yerevan
Chile Armenia
Yervant Zorian Samvel Shoukouryan
SYNOPSIS Yerevan State University
SantaClara Yerevan
USA Armenia
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-319-22746-7 ISBN978-3-319-22747-4 (eBook)
DOI 10.1007/978-3-319-22747-4
LibraryofCongressControlNumber:2015945611
LNCSSublibrary:SL3–InformationSystemsandApplications,incl.Internet/Web,andHCI
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Preface
This volume contains the papers presented at the 21st International Conference on
CollaborationTechnologies,CRIWG2015.TheconferencewasheldduringSeptember
22–25, 2015, in Yerevan, Armenia. The conference is supported and governed by the
CollaborativeResearchInternationalWorkingGroup(CRIWG),anopencommunityof
collaboration technology researchers. Since 1995, conferences supported by CRIWG
have focused on collaboration technology design, development, and evaluation. The
backgroundresearchisinfluencedbyanumberofdisciplines,suchascomputerscience,
management science, information systems, engineering, psychology, cognitive sci-
ences, and social sciences.
The 26 submitted papers were carefully reviewed through a double-blind review
process involving three reviewers appointed by the program chairs. In all, 11 sub-
missionswereselectedasfullpapersandeightwereselectedasworkinprogress.Thus,
this volume presents the most relevant and insightful research papers carefully chosen
among the contributions accepted for presentation and discussion at the conference.
The papers published in the proceedings of this year’s and past CRIWG conferences
reflectthetrendsincollaborativecomputingresearchanditsevolution.Therehasbeen
a growing interest in social networks analysis, crowdsourcing, and computer support
for large communities in general. As is the tradition at CRIWG, the collaborative
learning topic this year was also a prominently represented topic with four papers
selected covering this topic in one way or another. This year there was strong partic-
ipation from Chile and Germany, each having five papers. Also this year we also saw
the growing participation of Japan and newcomers like Qatar and of course Armenia.
There were also contributions from the USA, Canada, Brazil, and Spain.
As editors, we would like to thank everybody who contributed to the content and
production of this book, namely, all the authors and presenters, whose contributions
made CRIWG2015 asuccess, aswell astheSteeringCommittee, themembers ofthe
Program Committee, and the reviewers. Last but not least, we would like to
acknowledge the effort of the organizers of the conference, without whom this con-
ferencewouldnothaverunsoeffectively.OurthanksalsogotoSpringer,thepublisher
of the CRIWG proceedings, for their continuous support.
June 2015 Nelson Baloian
Samvel Shoukouryan
Perouz Taslakian
Yervant Zorian
Organization
Program Committee
Pedro Antunes Victoria University of Wellington, New Zealand
Renata Araujo UNIRIO, Brazil
Lars Bollen University of Twente, The Netherlands
Luis Carriҫo University of Lisbon, Portugal
Cesar A. Collazos Universidad del Cauca, Colombia
Marco De Sa Facebook, USA
Gj De Vreede University of Nebraska at Omaha, USA
Dominique Decouchant UAM Cuajimalpa, Mexico, LIG de Grenoble, France
Alicia Diaz Lifia, UNLP, Argentina
Yannis Dimitriadis University of Valladolid, Spain
Orlando Erazo Universidad de Chile, Chile
Jesus Favela CICESE, Mexico
Benjamim Fonseca UTAD/INESC TEC
Kimberly Garcia CINVESTAV-IPN, Mexico
Marco Gerosa IME - USP, Brazil
Eduardo Guzmán Universidad de Málaga, Spain
Andreas Harrer Clausthal University of Technology, Germany
Valeria Herskovic Pontificia Universidad Católica de Chile, Chile
Heinz Ulrich Hoppe University of Duisburg-Essen, Germany
Indratmo Indratmo Grant MacEwan University, Canada
Tomoo Inoue University of Tsukuba, Japan
Seiji Isotani University of Sao Paulo, Brazil
Marc Jansen University of Applied Sciences Ruhr West, Germany
Ralf Klamma RWTH Aachen University, Germany
Michael Koch Bundeswehr University of Munich, Germany
David Kocsis University of Nebraska at Omaha, USA
Thomas Largillier LORIA, France
Chen-Chung Liu NCU, USA
Stephan Lukosch Delft University of Technology, The Netherlands
Wolfram Luther University of Duisburg-Essen, Germany
Alejandra Martínez University of Valladolid, Spain
Sonia Mendoza CINVESTAV-IPN, Mexico
Roc Meseguer Universitat Politècnica de Catalunya, Spain
Alberto L. Morán UABC, Mexico
Andres Neyem Pontificia Universidad Católica de Chile, Chile
Cuong Nguyen University of Nebraska at Omaha, USA
Sergio Ochoa Universidad de Chile, Chile
VIII Organization
Hiroaki Ogata Kyushu University, Japan
Hugo Paredes INESC TEC and UTAD, Portugal
Jose A. Pino Universidad de Chile, Chile
Christophe Reffay Institut National de Recherche Pédagogique
Christoph Rensing Technische Universität Darmstadt, Germany
Ana Respício University of Lisbon, Portugal
Ana Carolina Salgado Center for Informatics/UFPE, Brazil
Flavia Santoro NP2Tec/UNIRIO, Brazil
Marcus Specht Open University, The Netherlands
Diane Strode Whitireia Polytechnic, New Zealand
Perouz Taslakian Universite Libre de Bruxelles, Belgium
Pierre Tchounikine University of Grenoble, France
Stefan Trausan-Matu University Politehnica of Bucharest, Romania
Julita Vassileva University of Saskatchewan, Canada
Vaninha Vieira Federal University of Bahia (UFBA), Brazil
Benjamin Weyers RWTH Aachen, Germany
Jürgen Ziegler University of Duisburg-Essen, Germany
Gustavo Zurita Universidad de Chile, Chile
Visualization and User Control
of Recommender Systems
Julita Vassileva
Department of Computer Science
University ofSaskatchewan, Canada
[email protected]
Abstract. Recommender systems are one of the “hottest” areas for companies
that offer items to end users and have a wide scope of applications, from
commercial, throughentertainmenttoeducational.Mostrecommendersystems
are based on implicit or explicit models of user behaviour, including user rat-
ings, click streams or navigation paths, or complex knowledge structures
derived through reasoning from user input data. They deploy various person-
alization algorithms to adapt the recommendation to the user’s interest and
context. The current recommendation algorithms have advanced to a stage
wheretheyofferveryhighaccuracyinpredictingwhichitemstheuserwilllike.
However, the resulting recommendations are not always accepted well by
theusers.Sometimesusersprefernottosharetheirdatawiththesystembecause
ofprivacyconcerns,ordonottrustthesystem’srecommendations,especiallyif
theydonotunderstandhowtheyweregenerated.Togaintheuser’strust,itis
important to explain the main principles or mechanism that the recommender
system uses; however an explanation would increase the cognitive load of the
userandthereforewouldnotbewelcome.Avisualizationofthemechanismor
its main principles may be helpful here, since “a picture is worth a thousand
words” and it can save users’ time and efforts by showing an intuitive and
understandable representation of the recommendation mechanism.
This talk will give an overview of some of the existing approaches (both
from the speaker’s own research lab and from other authors) for visualizing
recommendation mechanisms and eventually allowing users to control these
mechanisms.Startingwithworkfromtheareaofopen/scrutablelearnermodels
in the area of intelligent tutoring systems, through approaches for explaining
recommendationstoapproachesvisualizingaspectsofcollaborative,hybridand
social recommenders, the talk will focus on approaches for visualizing social
recommendation in streams of socialsites updates.
Contents
Crowdsourcing and Knowledge Co-creation in Virtual Museums . . . . . . . . . 1
Daniel Biella, Daniel Sacher, Benjamin Weyers, Wolfram Luther,
Nelson Baloian, and Tobias Schreck
Using Real-Time Gaze Based Awareness Methods to Enhance
Collaboration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Christian Schlösser, Philipp Schlieker-Steens, Andrea Kienle,
and Andreas Harrer
Evaluating Anchored Discussion to Foster Creativity in Online
Collaboration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Georg J.P. Link, Dominik Siemon, Gert-Jan de Vreede,
and Susanne Robra-Bissantz
Measuring the Effort Demanded by CSCL Design Processes Supporting
a Consistent Artifact Flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Osmel Bordiés and Yannis Dimitriadis
Supporting Collaborative Decision Making in Geo-Collaboration
Scenarios. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
Nelson Baloian, Jonathan Frez, José A. Pino, and Gustavo Zurita
Analysis of Question and Answering Behavior in Question
Routing Services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72
Zhe Liu and Bernard J. Jansen
AnIntegrativeToolChainforCollaborativeVirtualMuseumsinImmersive
Virtual Environments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86
Daniel Sacher, Benjamin Weyers, Torsten W. Kuhlen,
and Wolfram Luther
A Behaviour Awareness Mechanism to Support Collaborative Learning. . . . . 95
EsunlyMedina,RocMeseguer,SergioF.Ochoa,andHumbertoMedina
Exploiting the Use of Wikis to Support Collaborative Writing:
A Case Study of an Undergraduate Computer Science Class. . . . . . . . . . . . . 111
Oluwabunmi Adewoyin, Kewen Wu, and Julita Vassileva
Where to Begin? Using Network Analytics for the Recommendation
of Scientific Papers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124
Laura Steinert, Irene-Angelica Chounta, and H. Ulrich Hoppe