Abstract | ||
---|---|---|
Although many recent systems have been built to support Information Capture and Retrieval (ICR), these have not generally been successful. This paper presents studies that evaluate two different hypotheses for this failure, firstly that systems fail to address user needs and secondly that they provide only rudimentary support for ICR. Having first presented a taxonomy of different systems built to support ICR, we then describe a study that attempts to identify user needs for ICR. On the basis of that study we carried out two user-oriented evaluations. In the first, we carried out a task-based evaluation of a state-of-the-art ICR system, finding that it failed to provide users with abstract ways to view meetings data, and did not present users with information categories that they considered to be important. In a second study, we introduce a new method for comparative evaluation of different techniques for accessing meetings data. The second study showed that simple interface techniques that extracted key information from meetings were effective in allowing users to extract gist from meetings data. We conclude with a discussion of outstanding issues and future directions for ICR research. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/s00779-007-0146-3 | Personal and Ubiquitous Computing |
Keywords | Field | DocType |
rudimentary support,different technique,different hypothesis,icr research,different system,meetings data,user need,comparative evaluation,interaction capture,accessing meetings data,state-of-the-art icr system | Computer science,Human–computer interaction,Information capture | Journal |
Volume | Issue | ISSN |
12 | 3 | 1617-4917 |
Citations | PageRank | References |
31 | 1.62 | 43 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Steve Whittaker | 1 | 5285 | 665.26 |
Simon Tucker | 2 | 187 | 13.18 |
Kumutha Swampillai | 3 | 48 | 2.53 |
Rachel Laban | 4 | 46 | 2.35 |