2026-09-19T02:43:56Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/630752022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David R. Karger and Robert C. Miller.
Bakke, Eirik
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-05-23T18:13:37Z
2011-05-23T18:13:37Z
2011
2011
http://hdl.handle.net/1721.1/63075
725897442
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 57-58).
A key feature of relational database applications is managing plural relationships-one-to-many and many-to-many-between entities, be they customers and invoices, parts and suppliers, or meetings and conference rooms. However, since it is often infeasible to adopt or develop a new database application for any given schema at hand, information workers instead turn to spreadsheets, a general and more familiar data management tool which, unfortunately, lends itself poorly to schemas requiring multiple related entity sets. In this thesis, we propose to reduce the cost-usability gap between spreadsheets and tailormade relational database applications by extending the spreadsheet paradigm to let the user establish relationships between rows in related worksheets as well as view and navigate the hierarchical cell structure that arises as a result. We present Related Worksheets, a spreadsheet-like prototype application, and evaluate it with a study involving 36 regular Excel users. First-time users of our software were able to solve most lookup-type query tasks without instruction, in one case 40% faster than on Excel.
by Eirik Bakke.
S.M.
58 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
A spreadsheet-based user interface for managing plural relationships in structured data
Thesis
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<Abstract>A key feature of relational database applications is managing plural relationships-one-to-many and many-to-many-between entities, be they customers and invoices, parts and suppliers, or meetings and conference rooms. However, since it is often infeasible to adopt or develop a new database application for any given schema at hand, information workers instead turn to spreadsheets, a general and more familiar data management tool which, unfortunately, lends itself poorly to schemas requiring multiple related entity sets. In this thesis, we propose to reduce the cost-usability gap between spreadsheets and tailormade relational database applications by extending the spreadsheet paradigm to let the user establish relationships between rows in related worksheets as well as view and navigate the hierarchical cell structure that arises as a result. We present Related Worksheets, a spreadsheet-like prototype application, and evaluate it with a study involving 36 regular Excel users. First-time users of our software were able to solve most lookup-type query tasks without instruction, in one case 40% faster than on Excel.</Abstract>
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