01698nas a2200205   4500008004100000245009500041210006900136260000900205300001200214490000700226520100700233653003201240653002101272653001401293653002001307100001701327700001401344700001701358856011701375       2012                        eng d00aPlaying games with information: Investigating perceptions of a mobile content sharing game0 aPlaying games with information Investigating perceptions of a mo  c2012  a10 - 190 v103 aWe introduce Indagator (Latin for explorer), an application which incorporates multiplayer, pervasive gaming elements into mobile content sharing. Indagator allows users to annotate real world locations with multimedia content, and concurrently, provides opportunities for play through engaging interactive game elements. A study of Indagator was conducted to obtain usability feedback, and to examine the impact of the usability of its content sharing and gaming features on participants' intention to use it. Participants used the software to complete a set of tasks and subsequently completed a questionnaire and attended an interview, both of which were to elicit their opinions on the usability of the system. Participants felt that the features in Indagator were able to support the objectives of content sharing and gaming, and that idea of gaming could be a motivator for content sharing. In terms of intention to use, usability of Indagator's gaming features emerged as significant predictors.10aMobile Content Sharing Game10aSocial Computing10aUsability10aUser Evaluation1 aGoh, D.H.-L.1 aLee, C.S.1 aChua, A.Y.K.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84863281265&partnerID=40&md5=41c91a3b7957ec0b637c641bf9ba9a6e01859nas a2200217   4500008004100000245006500041210006500106260000900171300001200180490000600192520116800198653002701366653002601393653002601419653001801445100001701463700001401480700001701494700001301511856011701524       2009                        eng d00aDesign and development of a Query Graph Visualization system0 aDesign and development of a Query Graph Visualization system  c2009  a21 - 290 v73 aCollaborative querying is a technique that harnesses the collective search experiences of users to assist in query formulation. We present the Query Graph Visualizer (QGV), a visual collaborative querying system that recommends related queries to a user's submitted query through a network visualization scheme. Users are able to explore the query network and select queries for execution on an information retrieval (IR) system. the QGV is not meant to be a replacement for IR systems but as a value-added module to help users search more effectively. Consequently, the QGV is not an IR system but works in tandem with existing IR systems. the design of the QGV is discussed, focusing on its architecture, the interaction between the QGV's main components and the implementation of the user interface. An evaluation of the QGV was also conducted to assess the performance of the system against to a conventional search engine. Results indicate that the evaluators who used the QGV completed their tasks much faster compared to those using a search engine alone. A usability evaluation also showed that the system complied with standard user interface heuristics.10aCollaborative querying10aInformation retrieval10aQuery Graph Visualize10aQuery network1 aGoh, D.H.-L.1 aLee, C.S.1 aChua, A.Y.K.1 aLuyt, B.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70350660828&partnerID=40&md5=33ccaf28cf0dad32e0b47d01f84a8707