Adaptive Forms: an interaction technique for entering structured data

Citation
Mr. Frank et P. Szekely, Adaptive Forms: an interaction technique for entering structured data, KNOWL-BAS S, 11(1), 1998, pp. 37-45
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
KNOWLEDGE-BASED SYSTEMS
ISSN journal
09507051 → ACNP
Volume
11
Issue
1
Year of publication
1998
Pages
37 - 45
Database
ISI
SICI code
0950-7051(19980930)11:1<37:AFAITF>2.0.ZU;2-2
Abstract
Many software applications solicit input from the user via a "forms" paradi gm that emulates their paper equivalent. It exploits the users' familiarity with these and is well suited for the input of simple attribute-value data (name, phone number, etc.). The paper-forms paradigm starts breaking down when there is user input that may or may not be applicable depending on pre vious user input. In paper-based forms, this manifests itself by sections m arked "fill out only if you entered yes in question 8a above", and simple e lectronic forms suffer from the same problem-much space is taken up for inp ut fields that are not applicable. One possible approach to making only rel evant sections appear is to hand-write program fragments to hide and show t hem. As an alternative, we have developed a form specification language bas ed on a context-free grammar that encodes data dependencies of the input, t ogether with an accompanying run-time interpreter that uses novel layout te chniques for collapsing already-entered input fields, for "blending" input fields possibly yet to come, and for showing only the applicable sections o f the form. (C) 1998 Elsevier Science B.V. All rights reserved.