OOPS: a toolkit supporting mediation techniques for resolving ambiguity in recognition-based interfaces

被引:19
作者
Mankoff, J [1 ]
Abowd, GD
Hudson, SE
机构
[1] Georgia Inst Technol, GVU Ctr, Atlanta, GA 30332 USA
[2] Carnegie Mellon Univ, HCI Inst, Pittsburgh, PA USA
来源
COMPUTERS & GRAPHICS-UK | 2000年 / 24卷 / 06期
基金
美国国家科学基金会;
关键词
D O I
10.1016/S0097-8493(00)00085-6
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Recognition technologies are being used extensively in both commercial and research systems. Recognizers are still error-prone however, and this results in performance problems and brittle dialogues, creating barriers to the acceptance and usefulness of recognition systems. Better interfaces to systems using recognition, which can help to reduce the burden of recognition errors, are difficult to build because of lack of knowledge about the ambiguity inherent in recognition. We present a survey of the design of correction techniques in interfaces which make use of recognizers. Based on this survey, we have created a user interface toolkit, OOPS (organized option pruning system) (Mankoff et al., Proceedings of ACM CHI 2000 Conference on Human Factors in Computing Systems, 2000, pp. 368-375). OOPS consists of a library of reusable error correction, or mediation, techniques drawn from the survey, combined with necessary architectural extensions to model and to provide structured support for ambiguity at the input event level of a GUI toolkit. The resulting infrastructure makes it easier for application developers to support error handling, thus helping to reduce the negative effects of recognition errors, and allowing us to explore new types of interfaces for dealing with ambiguity. (C) 2000 Published by Elsevier Science Ltd.
引用
收藏
页码:819 / 834
页数:16
相关论文
共 41 条
[1]   FEEDBACK-STRATEGIES FOR ERROR CORRECTION IN SPEECH RECOGNITION SYSTEMS [J].
AINSWORTH, WA ;
PRATT, SR .
INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1992, 36 (06) :833-842
[2]  
ALM N, 1992, COMMUN ACM, V35, P46, DOI 10.1145/129875.129879
[3]  
[Anonymous], P WORKSH MOB COMP SY
[4]  
[Anonymous], 1993, INTERACT 93 CHI 93 C, DOI DOI 10.1145/259964.260123
[5]  
*APPL COMP INC, MESS 2000 US MAN
[6]   MODELING ERROR RECOVERY AND REPAIR IN AUTOMATIC SPEECH RECOGNITION [J].
BABER, C ;
HONE, KS .
INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1993, 39 (03) :495-515
[7]  
Bolt R. A., 1980, Computer Graphics, V14, P262, DOI 10.1145/965105.807503
[8]   INTERACTION AND FEEDBACK IN A SPOKEN LANGUAGE SYSTEM - A THEORETICAL FRAMEWORK [J].
BRENNAN, SE ;
HULTEEN, EA .
KNOWLEDGE-BASED SYSTEMS, 1995, 8 (2-3) :143-151
[9]  
BUSKIRK RV, 1995, P ACM CHI 95 C HUM F, V2, P95
[10]  
Edwards W. K., 1997, Proceedings of the ACM Symposium on User Interface Software and Technology. 10th Annual Symposium. UIST '97, P151, DOI 10.1145/263407.263537