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    Dr. Tim Reichling

    tim_reichling

    Ehemaliger Mitarbeiter

    Vita

    Tim Reichling hat Informatik an der Rheinischen Friedrich-Wilhems-Universität in Bonn studiert. Während des Studiums war er bereits in verschiedenen Forschungsprojekten tätig, in denen es um Kooperationsunterstützung von Mitarbeitern in Organisationen ging (OrgTech). Im Rahmen seiner anschließenden Tätigkeit als wissenschaftlicher Mitarbeiter im Fachbereich Wirtschaftsinformatik und Neue Medien an der Universität Siegen setzte er diese Forschungsausrichtung mit einem Schwerpunkt auf CSCW (Computer Supported Cooperative Work) und Wissensmanagement in großen Organisationen fort. So erforschte er im Forschungsprojekt WIN (Wissensmanagement in Informationsnetzwerken) Wissensprozesse in einem Industrieverband und entwickelte Möglichkeiten, diese technisch zu unterstützen. Zentrales Ergebnis dieser Arbeit ist das kooperationsunterstützende Informationssystem ExpertFinder, das im Industrieverband eingesetzt und evaluiert wurde. Im Jahre 2008 schloss er diese Forschung mit seiner Promotion ab. Aktuell arbeitet im Forschungsprojekt Social Media und führt er die Entwicklung des ExpertFinder-Systems zur Industriereife weiter.

    Publikationen

    2013


    • Ley, B., Ogonowski, C., Hess, J., Reichling, T., Wan, L. & Wulf, V. (2013)Impacts of New Technologies on Media Usage and Social Behaviour in Domestic Environments

      IN Behaviour & Information Technology, Vol. 33, Pages: 37–41 doi:10.1080/0144929X.2013.832383
      [BibTeX] [Download PDF]

      @article{ley_impacts_2013,
      title = {Impacts of {New} {Technologies} on {Media} {Usage} and {Social} {Behaviour} in {Domestic} {Environments}},
      volume = {33},
      url = {http://dx.doi.org/10.1080/0144929X.2013.832383},
      doi = {10.1080/0144929X.2013.832383},
      number = {August},
      journal = {Behaviour \& Information Technology},
      author = {Ley, Benedikt and Ogonowski, Corinna and Hess, Jan and Reichling, Tim and Wan, Lin and Wulf, Volker},
      month = aug,
      year = {2013},
      keywords = {CSCW, PRAXLABS, SocialMedia, Living Lab, diary study, living room, media usage, television, long-term study},
      pages = {37--41},
      annote = {Place: Bristol, PA, USA Publisher: Taylor \& Francis, Inc.},
      }

    2012


    • Hess, J., Ley, B., Ogonowski, C., Reichling, T., Wan, L. & Wulf, V. (2012)New Technology@Home: Impacts on Usage Behavior and Social Structures

      Proceedings of the 10th European Conference on Interactive TV and Video. New York, NY, USA, Publisher: ACM, Pages: 185–194 doi:10.1145/2325616.2325653
      [BibTeX] [Download PDF]

      @inproceedings{hess_new_2012,
      address = {New York, NY, USA},
      series = {{EuroiTV} '12},
      title = {New {Technology}@{Home}: {Impacts} on {Usage} {Behavior} and {Social} {Structures}},
      isbn = {978-1-4503-1107-6},
      url = {http://doi.acm.org/10.1145/2325616.2325653},
      doi = {10.1145/2325616.2325653},
      booktitle = {Proceedings of the 10th {European} {Conference} on {Interactive} {TV} and {Video}},
      publisher = {ACM},
      author = {Hess, Jan and Ley, Benedikt and Ogonowski, Corinna and Reichling, Tim and Wan, Lin and Wulf, Volker},
      year = {2012},
      keywords = {CSCW, SocialMedia, EUDISMES, diary study, living lab, living room, media usage, television},
      pages = {185--194},
      }


    • Hess, J., Ley, B., Ogonowski, C., Reichling, T., Wan, L. & Wulf, V. (2012)New Technology @ Home : Impacts on Usage Behavior and Social Structures

      Proceedings of EuroITV ’12. New York, USA, Publisher: ACM, Pages: 185–194
      [BibTeX] [Abstract]

      Studying domestic usage contexts has become an important field in research. Recent technological improvements have made media available on different devices, in different contexts and from different places. The adoption and appropriation of new devices and technologies has led to a more flexible usage behavior. However, even if we know about such a behavior, many questions, regarding how new technology changes the user’s media usage and how these changes affect the social structure in a household, are still unanswered. We will address this topic in our work and want to provide an insight on how recent media consumption patterns have changed due to the appropriation of new technologies in the home. Based on a qualitative long-term Living Lab study we will present various patterns based on changes in media usage routines and their influences on households as social systems. The results provide a detailed understanding of how the new technology is embedded within domestic life by considering potentials and conflicts that also address further design oriented work.

      @inproceedings{hess_new_2012-1,
      address = {New York, USA},
      title = {New {Technology} @ {Home} : {Impacts} on {Usage} {Behavior} and {Social} {Structures}},
      isbn = {978-1-4503-1107-6},
      abstract = {Studying domestic usage contexts has become an important field in research. Recent technological improvements have made media available on different devices, in different contexts and from different places. The adoption and appropriation of new devices and technologies has led to a more flexible usage behavior. However, even if we know about such a behavior, many questions, regarding how new technology changes the user's media usage and how these changes affect the social structure in a household, are still unanswered. We will address this topic in our work and want to provide an insight on how recent media consumption patterns have changed due to the appropriation of new technologies in the home. Based on a qualitative long-term Living Lab study we will present various patterns based on changes in media usage routines and their influences on households as social systems. The results provide a detailed understanding of how the new technology is embedded within domestic life by considering potentials and conflicts that also address further design oriented work.},
      booktitle = {Proceedings of {EuroITV} '12},
      publisher = {ACM},
      author = {Hess, Jan and Ley, Benedikt and Ogonowski, Corinna and Reichling, Tim and Wan, Lin and Wulf, Volker},
      year = {2012},
      keywords = {PRAXLABS, diary study, living lab, living room, media usage, television, LivingLabEnergy},
      pages = {185--194},
      }

    2010


    • Reichling, T., Moos, B., Rohde, M. & Wulf, V. (2010)Towards Regional Clusters: Networking Events, Collaborative Research, and the Business Finder

      IN From CSCW to Web 2.0: European Developments in Collaborative Design, Pages: 43–61
      [BibTeX]

      @article{reichling_towards_2010,
      title = {Towards {Regional} {Clusters}: {Networking} {Events}, {Collaborative} {Research}, and the {Business} {Finder}},
      journal = {From CSCW to Web 2.0: European Developments in Collaborative Design},
      author = {Reichling, Tim and Moos, Benjamin and Rohde, Markus and Wulf, Volker},
      year = {2010},
      pages = {43--61},
      }

    2009


    • Reichling, T. & Wulf, V. (2009)Expert Recommender Systems in Practice : Evaluating Semi-automatic Profile Generation

      IN Proceedings of the Conference on Human Factors in Computing Systems (CHI), Pages: 59–68 doi:10.1145/1518701.1518712
      [BibTeX] [Abstract]

      Expert recommender systems (ERS) are considered a promising technology in knowledge management. However, there are very few studies which evaluated their appropriation in practice. In this paper, we present results of a case study of expert recommender technology in a large European industrial association. Unlike existing expert recommender approaches, the system involves users in selecting textual documents for semi-automatic profile generation. Our study focuses on the appropriation of this functionality and discusses impacts from an organizational perspective.

      @article{reichling_expert_2009,
      title = {Expert {Recommender} {Systems} in {Practice} : {Evaluating} {Semi}-automatic {Profile} {Generation}},
      doi = {10.1145/1518701.1518712},
      abstract = {Expert recommender systems (ERS) are considered a promising technology in knowledge management. However, there are very few studies which evaluated their appropriation in practice. In this paper, we present results of a case study of expert recommender technology in a large European industrial association. Unlike existing expert recommender approaches, the system involves users in selecting textual documents for semi-automatic profile generation. Our study focuses on the appropriation of this functionality and discusses impacts from an organizational perspective.},
      journal = {Proceedings of the Conference on Human Factors in Computing Systems (CHI)},
      author = {Reichling, Tim and Wulf, Volker},
      year = {2009},
      keywords = {Expertise Recommender System, Knowledge Management, Second Wave, a-paper},
      pages = {59--68},
      annote = {ISBN: 9781605582467},
      }

    2008


    • Reichling, T. (2008)Wissensmanagement in einer Netzwerkorganisation. Entwicklung und Einführung eines Experten-Recommender-Systems in einem Industrieverband

      [BibTeX] [Download PDF]

      @book{reichling_wissensmanagement_2008,
      title = {Wissensmanagement in einer {Netzwerkorganisation}. {Entwicklung} und {Einführung} eines {Experten}-{Recommender}-{Systems} in einem {Industrieverband}},
      url = {http://www.wineme.uni-siegen.de/wp-content/uploads/2016/11/diss_reichling-wissensmanagement_in_einer_netzwerkorganisation-2008.pdf},
      author = {Reichling, Tim},
      year = {2008},
      keywords = {Dissertation},
      }


    • Reichling, T., Wulf, V. & Moos, B. (2008)Business Finder – a tool for regional networking among organizations

      Proceedings of Knowledge Management in Action (KMIA 2008), held in conjunction with the 20th IFIP World Computer Congress (WCC 2008), 07–10 September 2008. Milano, Publisher: Springer, Pages: 151–164
      [BibTeX]

      @inproceedings{reichling_business_2008,
      address = {Milano},
      title = {Business {Finder} – a tool for regional networking among organizations},
      booktitle = {Proceedings of {Knowledge} {Management} in {Action} ({KMIA} 2008), held in conjunction with the 20th {IFIP} {World} {Computer} {Congress} ({WCC} 2008), 07–10 {September} 2008},
      publisher = {Springer},
      author = {Reichling, Tim and Wulf, Volker and Moos, Benjamin},
      year = {2008},
      pages = {151--164},
      }


    • Saeed, S., Reichling, T. & Wulf, V. (2008)Applying Knowledge Management to support networks among NGOs and donors

      IN Proceedings of IADIS International Conference e-Society 2008, Pages: 626–628
      [BibTeX]

      @article{saeed_applying_2008,
      title = {Applying {Knowledge} {Management} to support networks among {NGOs} and donors},
      journal = {Proceedings of IADIS International Conference e-Society 2008},
      author = {Saeed, Saqib and Reichling, Tim and Wulf, Volker},
      year = {2008},
      keywords = {civil society, ngos, collaboration, knowledge management, donors},
      pages = {626--628},
      annote = {ISBN: 9789728924553},
      }

    2007


    • Reichling, T., Veith, M. & Wulf, V. (2007)Expert Recommender – Designing for a Network Organization

      IN Computer Supported Cooperative Work: The Journal of Collaborative Computing (JCSCW), Vol. 16, Pages: 431–465
      [BibTeX]

      @article{reichling_expert_2007,
      title = {Expert {Recommender} - {Designing} for a {Network} {Organization}},
      volume = {16},
      number = {4-5},
      journal = {Computer Supported Cooperative Work: The Journal of Collaborative Computing (JCSCW)},
      author = {Reichling, Tim and Veith, Michael and Wulf, Volker},
      year = {2007},
      keywords = {A-Paper},
      pages = {431--465},
      }


    • Hess, J., Reichling, T., Wulf, V., Rumpf, S. & Flender, G. (2007)Using text matching to recommend TV shows

      Workshop Supplement auf European Conference on Interactive TV (EuroiTV 2007).
      [BibTeX]

      @inproceedings{hess_using_2007,
      title = {Using text matching to recommend {TV} shows},
      booktitle = {Workshop {Supplement} auf {European} {Conference} on {Interactive} {TV} ({EuroiTV} 2007)},
      author = {Hess, Jan and Reichling, Tim and Wulf, Volker and Rumpf, Steffen and Flender, Gerd},
      year = {2007},
      }

    2005


    • Reichling, T., Schubert, K. & Wulf, V. (2005)Matching human actors based on their texts: design and evaluation of an instance of the ExpertFinding framework

      Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work. New York, NY, USA, Publisher: Association for Computing Machinery, Pages: 61–70 doi:10.1145/1099203.1099213
      [BibTeX] [Abstract] [Download PDF]

      Bringing together human actors with similar interests, skills or expertise is a major challenge in community-based knowledge management. We believe that writing or reading textual documents can be an indicator for a human actor’s interests, skills or expertise. In this paper, we describe an approach of matching human actors based on the similarity of text collections that can be attributed to them. By integrating standard methods of text analysis, we extract and match user profiles based on a large collection of documents. We present an instance of the ExpertFinder Framework which measures the similarity of these profiles by means of the Latent Semantic Indexing (LSI) algorithm. The quality of the algorithmic approach was evaluated by comparing its results with judgments of different human actors.

      @inproceedings{reichling_matching_2005-1,
      address = {New York, NY, USA},
      series = {{GROUP} '05},
      title = {Matching human actors based on their texts: design and evaluation of an instance of the {ExpertFinding} framework},
      isbn = {978-1-59593-223-5},
      shorttitle = {Matching human actors based on their texts},
      url = {https://doi.org/10.1145/1099203.1099213},
      doi = {10.1145/1099203.1099213},
      abstract = {Bringing together human actors with similar interests, skills or expertise is a major challenge in community-based knowledge management. We believe that writing or reading textual documents can be an indicator for a human actor's interests, skills or expertise. In this paper, we describe an approach of matching human actors based on the similarity of text collections that can be attributed to them. By integrating standard methods of text analysis, we extract and match user profiles based on a large collection of documents. We present an instance of the ExpertFinder Framework which measures the similarity of these profiles by means of the Latent Semantic Indexing (LSI) algorithm. The quality of the algorithmic approach was evaluated by comparing its results with judgments of different human actors.},
      urldate = {2021-04-16},
      booktitle = {Proceedings of the 2005 international {ACM} {SIGGROUP} conference on {Supporting} group work},
      publisher = {Association for Computing Machinery},
      author = {Reichling, Tim and Schubert, Kai and Wulf, Volker},
      month = nov,
      year = {2005},
      keywords = {community building, knowledge management, expertise sharing, keyword extraction, latent semantic indexing, user profiling},
      pages = {61--70},
      }


    • Reichling, T., Schubert, K. & Wulf, V. (2005)Matching Human Actors based on their Texts: Design and Evaluation of an Instance of the ExpertFinding Framework

      IN Proceedings of GROUP 2005 New York
      [BibTeX]

      @incollection{reichling_matching_2005,
      address = {New York},
      title = {Matching {Human} {Actors} based on their {Texts}: {Design} and {Evaluation} of an {Instance} of the {ExpertFinding} {Framework}},
      booktitle = {Proceedings of {GROUP} 2005},
      publisher = {ACM-Press},
      author = {Reichling, Tim and Schubert, Kai and Wulf, Volker},
      year = {2005},
      }


    • Reichling, T. & Veith, M. (2005)Expertise sharing in a heterogeneous organizational environment

      IN Proceedings of the European Conference on Computer Supported Cooperative Work (ECSCW), Pages: 325–345 doi:10.1007/1-4020-4023-7_17
      [BibTeX] [Abstract]

      The term knowledge management (KM) has lost most of its magic during\${\textbackslash}textbackslashbackslash\$nthe past few years: While knowledge has been identified as an important\${\textbackslash}textbackslashbackslash\$nresource and key factor for productivity gains and innovation in\${\textbackslash}textbackslashbackslash\$norganizations, there seems to be no generally applicable (and easy)\${\textbackslash}textbackslashbackslash\$nway to utilize this resource. In this paper we present results of\${\textbackslash}textbackslashbackslash\$na field study that was conducted within a major European industrial\${\textbackslash}textbackslashbackslash\$nassociation. The study focused on knowledge intense processes among\${\textbackslash}textbackslashbackslash\$nthe association and its member companies which were supposed to be\${\textbackslash}textbackslashbackslash\$nimproved by KM strategies and systems. The organizational setting\${\textbackslash}textbackslashbackslash\$nappears to be unique in different ways: A grown and highly decentralized\${\textbackslash}textbackslashbackslash\$norganizational structure, goods that exclusively consist of human\${\textbackslash}textbackslashbackslash\$nand social capital and a distinct mutual unawareness of competencies\${\textbackslash}textbackslashbackslash\$nand responsibilities within the organization define our field of\${\textbackslash}textbackslashbackslash\$napplication.

      @article{reichling_expertise_2005,
      title = {Expertise sharing in a heterogeneous organizational environment},
      doi = {10.1007/1-4020-4023-7_17},
      abstract = {The term knowledge management (KM) has lost most of its magic during\${\textbackslash}textbackslashbackslash\$nthe past few years: While knowledge has been identified as an important\${\textbackslash}textbackslashbackslash\$nresource and key factor for productivity gains and innovation in\${\textbackslash}textbackslashbackslash\$norganizations, there seems to be no generally applicable (and easy)\${\textbackslash}textbackslashbackslash\$nway to utilize this resource. In this paper we present results of\${\textbackslash}textbackslashbackslash\$na field study that was conducted within a major European industrial\${\textbackslash}textbackslashbackslash\$nassociation. The study focused on knowledge intense processes among\${\textbackslash}textbackslashbackslash\$nthe association and its member companies which were supposed to be\${\textbackslash}textbackslashbackslash\$nimproved by KM strategies and systems. The organizational setting\${\textbackslash}textbackslashbackslash\$nappears to be unique in different ways: A grown and highly decentralized\${\textbackslash}textbackslashbackslash\$norganizational structure, goods that exclusively consist of human\${\textbackslash}textbackslashbackslash\$nand social capital and a distinct mutual unawareness of competencies\${\textbackslash}textbackslashbackslash\$nand responsibilities within the organization define our field of\${\textbackslash}textbackslashbackslash\$napplication.},
      journal = {Proceedings of the European Conference on Computer Supported Cooperative Work (ECSCW)},
      author = {Reichling, Tim and Veith, Michael},
      year = {2005},
      pages = {325--345},
      annote = {ISBN: 978-1402040221},
      }

    2004


    • Reichling, T., Becks, A. & Bresser, O. (2004)Kontaktanbahnung in Lernplattformen : Ein Ansatz zur Förderung von Wissensprozessen

      Proceedings der Tagung „Mensch & Computer 2004 (MC 2004)“, am 7.-10.09.2004. Paderborn, Publisher: Teubner, Pages: 179–188
      [BibTeX]

      @inproceedings{reichling_kontaktanbahnung_2004,
      address = {Paderborn},
      title = {Kontaktanbahnung in {Lernplattformen} : {Ein} {Ansatz} zur {Förderung} von {Wissensprozessen}},
      booktitle = {Proceedings der {Tagung} „{Mensch} \& {Computer} 2004 ({MC} 2004)“, am 7.-10.09.2004},
      publisher = {Teubner},
      author = {Reichling, Tim and Becks, Andreas and Bresser, Oliver},
      year = {2004},
      pages = {179--188},
      }


    • Becks, A., Reichling, T. & Wulf, V. (2004)Expertise finding: Approaches to Foster Social Capital

      IN Social Captial and Information Technology, Pages: 333–354
      [BibTeX] [Abstract] [Download PDF]

      The application of information technology can have positive and negative impacts on social capital. In this paper we discuss technologies which have the potential to foster social capital by matching human actors. The matching algorithms are based on the personal data describing the actors‘ behavior, background, qualification, or interests. Consequently, actors who are little known or even unknown towards each other get aware of each other. We show how these concepts are applied to supplement a learning platform with an expertise matching functionality. Design principles for matching algorithms, a general architecture for an expertise matching algorithm, and an implementation of these functionalities are presented. Future challenges in the field of expertise matching are discussed.

      @article{becks_expertise_2004,
      title = {Expertise finding: {Approaches} to {Foster} {Social} {Capital}},
      url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.90.1737&rep=rep1&type=pdf},
      abstract = {The application of information technology can have positive and negative impacts on social capital. In this paper we discuss technologies which have the potential to foster social capital by matching human actors. The matching algorithms are based on the personal data describing the actors' behavior, background, qualification, or interests. Consequently, actors who are little known or even unknown towards each other get aware of each other. We show how these concepts are applied to supplement a learning platform with an expertise matching functionality. Design principles for matching algorithms, a general architecture for an expertise matching algorithm, and an implementation of these functionalities are presented. Future challenges in the field of expertise matching are discussed.},
      number = {1958},
      journal = {Social Captial and Information Technology},
      author = {Becks, Andreas and Reichling, Tim and Wulf, Volker},
      year = {2004},
      pages = {333--354},
      annote = {ISBN: 0-262-08331-0},
      }


    • Reichling, T., Becks, A., Bresser, O. & Wulf, V. (2004)Koordinationswerkzeuge zur Bildung von Lerngruppen

      IN CSCL-Kompendium. Lehr- und Handbuch zum computerunterstützten kooperativen Lernen, Pages: 80–85
      [BibTeX] [Abstract]

      Die Autoren betonen den Mehrwert von sogenannten Communities of Practices für den Wissenserwerb und die Kokonstruktion von Wissen. Akzeptiert\${\textbackslash}textbackslashbackslash\$nman diesen Mehrwert, dann muss auch die Informatik ihrer Meinung\${\textbackslash}textbackslashbackslash\$nnach diese Perspektive bei der Gestaltung technischer Lösungen in\${\textbackslash}textbackslashbackslash\$nBetracht ziehen. Virtuelle Lernplattformen bieten bisher kaum Möglichkeiten\${\textbackslash}textbackslashbackslash\$nbieten, Lernende mit gleichen Interessen zusammenführen. Diese Lücke können Kooperationsunterstützende Werkzeuge schließen.. sie sollen\${\textbackslash}textbackslashbackslash\$ndazu dienen, Lernende mit ähnlichem oder sich ergänzenden Hintergrudn\${\textbackslash}textbackslashbackslash\$nzu Netzwerken zusammenzuführen. Damit dies gelingt, müssen Werkzeugen, die dafür relevanten personenbezogenen Daten erfassen, modellieren\${\textbackslash}textbackslashbackslash\$nund evaluieren. Es werden die Vor- und Nachteile verschiedener Koordinationswerkzeugen besprochen. Basis: CSCW und KI a. persönliche Profilsysteme – Nutzern geben Daten selber ein 2 Probleme: es muss bei den Nutzern ein gemeinsames Verständnis über die verschiedenen Attribute des Profils geben; Nutzer müssen motiviert sein, Profile einzugeben b. Recommender-Systemen (How knows von Streeter and Lochman) unterstützen Nurtzer beim auswählen eines Elements aus einer Menge ähnlicher Elemente Beispiel: ExpertFinder (Becks et al. 2003) wurde für die eQualification Plattform der Fraunhofergesellschaft entwickelt.. Nutzerprofile werden hier auf zwei Arten realisiert: Im Modul Benutzerbeschreibung werden Werden Benutzer aufgrund der von ihnen eingegebenen Daten verglichen. Im Modul Lerngeschichte werden aktuelle Benutzerinteressen dynamisch aus der Interaktionshistorie extrahiert und vergliechen. Derjenige, der einen Co-Lerner sucht, kann auswählen, welche Suchstrategie (Benutzerdate oder Interaktionshistorie) bei der Suche welche Bedeutung beimessen möchte. Die gefundenen Experten bzw. Co-Lerner können dann zu einem Chat order workspace eingeladen werden oder/und ihre Adressen in ein Adressbuch eingetragen werden

      @article{reichling_koordinationswerkzeuge_2004,
      title = {Koordinationswerkzeuge zur {Bildung} von {Lerngruppen}},
      abstract = {Die Autoren betonen den Mehrwert von sogenannten Communities of Practices für den Wissenserwerb und die Kokonstruktion von Wissen. Akzeptiert\${\textbackslash}textbackslashbackslash\$nman diesen Mehrwert, dann muss auch die Informatik ihrer Meinung\${\textbackslash}textbackslashbackslash\$nnach diese Perspektive bei der Gestaltung technischer Lösungen in\${\textbackslash}textbackslashbackslash\$nBetracht ziehen. Virtuelle Lernplattformen bieten bisher kaum Möglichkeiten\${\textbackslash}textbackslashbackslash\$nbieten, Lernende mit gleichen Interessen zusammenführen. Diese Lücke können Kooperationsunterstützende Werkzeuge schließen.. sie sollen\${\textbackslash}textbackslashbackslash\$ndazu dienen, Lernende mit ähnlichem oder sich ergänzenden Hintergrudn\${\textbackslash}textbackslashbackslash\$nzu Netzwerken zusammenzuführen. Damit dies gelingt, müssen Werkzeugen, die dafür relevanten personenbezogenen Daten erfassen, modellieren\${\textbackslash}textbackslashbackslash\$nund evaluieren. Es werden die Vor- und Nachteile verschiedener Koordinationswerkzeugen besprochen. Basis: CSCW und KI a. persönliche Profilsysteme - Nutzern geben Daten selber ein 2 Probleme: es muss bei den Nutzern ein gemeinsames Verständnis über die verschiedenen Attribute des Profils geben; Nutzer müssen motiviert sein, Profile einzugeben b. Recommender-Systemen (How knows von Streeter and Lochman) unterstützen Nurtzer beim auswählen eines Elements aus einer Menge ähnlicher Elemente Beispiel: ExpertFinder (Becks et al. 2003) wurde für die eQualification Plattform der Fraunhofergesellschaft entwickelt.. Nutzerprofile werden hier auf zwei Arten realisiert: Im Modul Benutzerbeschreibung werden Werden Benutzer aufgrund der von ihnen eingegebenen Daten verglichen. Im Modul Lerngeschichte werden aktuelle Benutzerinteressen dynamisch aus der Interaktionshistorie extrahiert und vergliechen. Derjenige, der einen Co-Lerner sucht, kann auswählen, welche Suchstrategie (Benutzerdate oder Interaktionshistorie) bei der Suche welche Bedeutung beimessen möchte. Die gefundenen Experten bzw. Co-Lerner können dann zu einem Chat order workspace eingeladen werden oder/und ihre Adressen in ein Adressbuch eingetragen werden},
      journal = {CSCL-Kompendium. Lehr- und Handbuch zum computerunterstützten kooperativen Lernen},
      author = {Reichling, Tim and Becks, Andreas and Bresser, Oliver and Wulf, Volker},
      year = {2004},
      keywords = {Kooperation, CSCL, Werkzeuge},
      pages = {80--85},
      }

    2003


    • Becks, A., Reichling, T. & Wulf, V. (2003)Supporting collaborative learning by matching human actors

      IN 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, Pages: 9 pp. doi:10.1109/HICSS.2003.1173695
      [BibTeX] [Abstract] [Download PDF]

      Learning platforms focus often on content presentation. Collaborative aspects are mostly dealt with by providing functionality to annotate parts of the content or discuss with other learners about the content. Nowadays learning platforms do not support systematically match making processes among those actors who are able to support their individual learning process mutually. We assume that next generation learning platforms will include functionality to make colearners aware of each other, match learners with complementary competencies, and allow for the generation of expertise maps. Design principles, a general architecture, and a system providing these functionalities are presented. Future challenges in the field of expertise matching are discussed.

      @article{becks_supporting_2003,
      title = {Supporting collaborative learning by matching human actors},
      url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1173695},
      doi = {10.1109/HICSS.2003.1173695},
      abstract = {Learning platforms focus often on content presentation. Collaborative aspects are mostly dealt with by providing functionality to annotate parts of the content or discuss with other learners about the content. Nowadays learning platforms do not support systematically match making processes among those actors who are able to support their individual learning process mutually. We assume that next generation learning platforms will include functionality to make colearners aware of each other, match learners with complementary competencies, and allow for the generation of expertise maps. Design principles, a general architecture, and a system providing these functionalities are presented. Future challenges in the field of expertise matching are discussed.},
      journal = {36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the},
      author = {Becks, Andreas and Reichling, Tim and Wulf, Volker},
      year = {2003},
      keywords = {groupware, Collaboration, Collaborative work, Knowledge management, Application software, Artificial intelligence, colearner awareness, collaborative learning support, computer aided instruction, content presentation, Educational institutions, Electronic learning, expertise map generation, expertise matching, human actors, Humans, Information technology, learning platforms, learning process, Problem-solving, systematic match making, user modelling},
      pages = {9 pp.},
      annote = {ISBN: 0-7695-1874-5},
      }

    2000


    • Wulf, V., Kahler, H., Pipek, V., Andiel, S., Engelskirchen, T., Krings, M., Lemken, B., Poschen, M., Reichling, T., Rinne, J., Rittenbruch, M., Stiemerling, O., Törpel, B. & Won, M. (2000)ProSEC: Research Group on HCI and CSCW

      IN ACM SIGGROUP Bulletin, Vol. 21, Pages: 10–12 doi:10.1145/605660.605663
      [BibTeX] [Download PDF]

      @article{wulf_prosec_2000,
      title = {{ProSEC}: {Research} {Group} on {HCI} and {CSCW}},
      volume = {21},
      issn = {2372-7403},
      url = {http://doi.acm.org/10.1145/605660.605663},
      doi = {10.1145/605660.605663},
      number = {2},
      journal = {ACM SIGGROUP Bulletin},
      author = {Wulf, Volker and Kahler, Helge and Pipek, Volkmar and Andiel, Stefan and Engelskirchen, Torsten and Krings, Matthias and Lemken, Birgit and Poschen, Meik and Reichling, Tim and Rinne, Jens and Rittenbruch, Markus and Stiemerling, Oliver and Törpel, Bettina and Won, Markus},
      month = aug,
      year = {2000},
      keywords = {CSCW, ProSEC},
      pages = {10--12},
      annote = {Place: New York, NY, USA Publisher: ACM},
      }