23. Juli Let’s Search Together! : Collaborative Web. Sergej Zerr, Ivana Marenzi

Sergej Zerr2 Collaboration Often we need more than one hand Sometimes more than one brain “Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations” James Suroewicki

Sergej Zerr3 Collaboration in WWW can be used: Collaborative tagging, Favorite assignments Nederland, netherlands, holland, dutch Rotterdam, wielrennen, cycling, duck le grand depart, tour de france, Reklame, caravan, Funny Fotos Experiment

23. Nov. 2010Sergej Zerr

23. Nov. 2010Sergej Zerr ?

6 Collaboration Collaborative work needs to be managed efficiently Kasparov won against the world

Sergej Zerr7 Collaboration James Suroewicki: The Wisdom of Crowds CriteriaDescription Diversity of opinionEach person should have private information. IndependencePeople's opinions aren't determined by the opinions of those around them. DecentralizationPeople are able to specialize and draw on local knowledge. AggregationSome mechanism exists for turning private judgments into a collective

Sergej Zerr8 Collaborative Search: Identify Information need Search process Save/Bookmark Annotate/Organize How to support users by collaborative searching? -Ideas -Tools(Web 2.0) 7 minutes

Sergej Zerr9 What are the typical collaborative search tasks? Morris, M.R. A Survey of Collaborative Web Search Practices. In Proceedings of 26th CHI Conference 2008 Around 90% of Microsoft employees are engaged in collaborative search activities. Watched over someone’s shoulder as he/she searched the Web, and suggested alternate query terms. ed someone links to share the results of a Web search. ed someone a textual summary to share the results of a Web search. Called someone on the phone to tell them about the results of a Web search. Morris, M.R. A Survey of Collaborative Web Search Practices. In Proceedings of 26th CHI Conference 2008

Sergej Zerr10 Software support for Co-located search (CoSearch). Amershi, S., Morris, M. CoSearch: System for colocated collaborative Web search. In Proceedings of 26th CHI Conference 2008

Sergej Zerr11 Software support for Co-located search (CoSearch). Amershi, S., Morris, M. CoSearch: System for colocated collaborative Web search. In Proceedings of 26th CHI Conference 2008 Qualitative criteria 5 point Likert scale (5=strongly agree) Was CoSearch easy to use? 3 Were the colors useful? 4.5 Was the query queue useful? 4 Were color tabs useful? 4 Mobile view useful? 4 I would use CoSearch at work and in the school 4 I would use CoSearch at home 3.5

Sergej Zerr12 WeSearch: Collaborative Sensemaking (Hardware support) Meredith Ringel Morris, Jarrod Lombardo, and Daniel Wigdor WeSearch: supporting collaborative search and sensemaking on a tabletop display. In Proceedings of the 2010 ACM conference on Computer supported cooperative work (CSCW '10). ACM, New York, NY, USA,

Sergej Zerr13 WeSearch: Collaborative Sensemaking Meredith Ringel Morris, Jarrod Lombardo, and Daniel Wigdor WeSearch: supporting collaborative search and sensemaking on a tabletop display. In Proceedings of the 2010 ACM conference on Computer supported cooperative work (CSCW '10). ACM, New York, NY, USA, Qualitative criteria (7 point Likert scale) The system was easy to use6 High awareness af others‘ activity5 Export record for later view was useful6 Prefer clip cutting instead of clip search6

Sergej Zerr14 Spatial distributed Search (SearchTogether) Morris, M.R. & Horvitz, E. SearchTogether: An Interface for Collaborative Web Search. In Proceedings of the UIST 2007 (a) integrating messaging (b) query awareness, (c) current results (d) recommendation queue (e)(f)(g) search buttons (h) page-specific metadata (i) toolbar (j) browser

Sergej Zerr15 Spatial distributed Search (SearchTogether) Morris, M.R. & Horvitz, E. SearchTogether: An Interface for Collaborative Web Search. In Proceedings of the UIST 2007 Qualitative criteria (5 points Likert scale)Collective tokens SearchTogether helped to complete the joint task3.9 SearchTogether is more effective than other tools4.1 38% af all result lists were the consequence of using history 70 positive and 9 negative ratings 22 of 36 recommendation were viewed by the recipients

Sergej Zerr16 Improvement Through Collaborative Ranking Agrahri, A., Manickam, D., Riedl, J. Can people collaborate to improve the relevance of search results? In Proceedings of the ACM International Conference on Recommendation Systems 2008

Sergej Zerr17 Improvement Through Collaborative Ranking Agrahri, A., Manickam, D., Riedl, J. Can people collaborate to improve the relevance of search results? In Proceedings of the ACM International Conference on Recommendation Systems 2008 Shopping queries gained the most from the collaborative ranking. Business queries from Google ranking

Sergej Zerr18 Hardware support for Co-located(TeamSearch). Morris, M.R., Paepcke, A., and Winograd, T. Team-Search: Comparing Techniques for Co-Present Collaborative Search of Digital Media. Circles are categories: people, location, year, event

Sergej Zerr19 Hardware support for Co-located(TeamSearch). Morris, M.R., Paepcke, A., and Winograd, T. Team-Search: Comparing Techniques for Co-Present Collaborative Search of Digital Media. Qualitative criteria (7 points Likert scale)Collective tokensParallel tokens I worked closely with the other members of my group to accomplish this task Members of the group communicated with each other effectively The group worked effectively as a team on this task Quantitative criteriaCollectiveParallel Optimal set of photos (ideal 5) Query rate0.056 q/s0.11 q/s Distribution balance queries per member (standard deviation)

Sergej Zerr20 Smalltalk, what should be the properties of a perfect collaborative system?