Visual search is an important component of many human-computer interactions and a critical task in a variety of domains. These include screening for prohibited items in x-ray imagery of luggage in airports, identifying anomalies in medical imagery, and looking for unusual activity and changes over time in satellite imagery. Unlike many other human-machine interface tasks where a small error rate is quite acceptable, a crucial element of visual search tasks in these application areas is that a single mistake can have catastrophic consequences. Thus, any improvements in technology, interfaces, or human processes that can be made to aid visual search would be invaluable in these safety critical areas. Furthermore, even when one does not consider consequential activities such as cancer screening and airport security, most human-computer interactions involve some search component, and the impact of even small improvements is magnified by a high frequency of use.
This thesis explores how some of these issues affect individuals' and teams' ability to perform visual searching tasks. Considerations such as group size and display configuration are examined, as are novel interfaces that aid search on tabletop and wall displays. The overarching goal of this work is to provide system designers with immediately implementable advice and guidelines on how to improve their systems in respect to visual search and to outline further research in this critical area.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/17461 |
| Date | 15 July 2009 |
| Creators | Forlines, Clifton |
| Contributors | Balakrishnan, Ravin |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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