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Facilitating Network Data Exploration with Query Previews: A Study of. Egemen Tanin. Amnon Lotem. Ihab Haddadin. Ben Shneiderman. Catherine Plaisant. Laura Slaughter. February 1998.
Current network data exploration systems which use command languages (e.g. SQL) or form fill-in interfaces fail to give users an indication of the distribution of data items. This leads many users to waste time posing queries which have zero-hit or mega-hit result sets. Query previewing is a novel visual approach for browsing huge networked information warehouses. Query previews supply data distribution information about the database that is being searched and give continuous feedback about the size of the result set for the query as it is being formed. Our within-subjects empirical comparison studied 12 subjects using a form fill-in interface with and without query previews. We found statistically significant differences showing that query previews sped up performance 1.6 to 2.1 times and led to higher subjective satisfaction. (Also cross-referenced as UMIACS-98-14) University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland,
Laura Slaughter. Kent L. Norman. Ben Shneiderman. March 1995.
Assessing users' subjective satisfaction with the Information System for. In this investigation, the Questionnaire for User Interaction Satisfaction (QUIS 5.5), a tool for assessing users' subjective satisfaction with specific aspects of the human/computer interface was used to assess the strengths and weaknesses of the Info rmation System for Youth Services (ISYS). ISYS is used by over 600 employees of the Maryland State Department of Juvenile Services (DJS) as a tracking device for juvenile offenders. Ratings and comments were collected from 254 DJS employees who use ISYS. The overall mean rating across all questions was 5.1 on a one to nine scale. The ten highest and lowest rated questions were identified. The QUIS allowed us to isolate subgroups which were compared with mean ratings from four measures of specific interfac e factors. The comments obtained from users provided suggestions, complaints and endorsements of the system. Also cross-referenced as CAR-TR-768 Human Computer Interaction Laboratory, Department of Psychology, Center for Automation Research, Dept. of Computer Science, Univ. of Maryland,
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