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Human Factors in Automated and Robotic Space Systems: Proceedings of a Symposium (1987)
Commission on Behavioral and Social Sciences and Education (CBASSE)

Page
208
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Page
208
Front Matter (R1-R14)
Symposium Summary (1-10)
Opening Session (11-12)
Welcome (13-14)
Introduction (15-16)
Keynote Address: Human Factors Research for the NASA Space Station (17-28)
Session I: System Productivity: People and Machines (29-30)
Productivity in the Space Station (31-81)
Discussion: Comments on System Productivity: People and Machines (82-86)
Synopsis of General Audience Discussion (87-88)
Session II: Expert Systems and Their Use (89-90)
AI Systems in the Space Station (91-112)
Expert Systems: Applications in Space (113-141)
Discussion: Comments on Expert Systems and Their Use (142-146)
Synopsis of General Audience Discussion (147-148)
Session III: Language and Displays for Human-Computer Interaction (149-150)
Change in Human-Computer Interfaces on the Space Station: Why it Needs to Happen and How to Plan for It (151-175)
Cognitive Factors in the Design and Development of Software in the Space Station (176-200)
Discussion: Designing for the Face of the Future: Research Issues in Human-Computer Interaction (201-207)
Synopsis of General Audience Discussion (208-208)
Session IV: Computer-Aided Monitoring and Decision Making (209-210)
Robustness and Transparency in Intelligent Systems (211-233)
Decision Making-Aided and Unaided (234-262)
Discussion: Issues in Design and Uncertainty (263-274)
Synopsis of General Audience Discussion (275-276)
Session V: Telepresence and Supervisory Control (277-278)
Teleoperation, Telepresence, and Telorobotics: Research Needs for Space (279-291)
Telerobotics for the Evolving Space Station: Research Needs and Outstanding Problems (292-319)
Discussion: Comments on Telepresence and Supervisory Control (320-322)
Synopsis of General Audience Discussion (323-326)
Session VI: Social Factors in Productivity and Performance (327-328)
Social Stress, Computer-Mediated Communication Systems, and Human Productivity in Space Stations: A Research Agenda (329-355)
Control, Conflict, and Crisis Management in the Space Station (356-389)
Discussion: Conflict and Stress in the Space Station (390-401)
Synopsis of General Audience Discussion (402-402)
Session VII: The Human Role in Space Systems (403-404)
The Roles of Humans and Machines in Space (405-417)
Sharing Cognitive Tasks Between People and Computers in Space Systems (418-443)
Discussion: Comments on the Human Role in Space Systems (444-450)
Synopsis of General Audience Discussion (451-452)
Conclusion (453-454)
Concluding Remarks by Allen Newell (455-456)
Concluding Remarks by Thomas B. Sheridan (457-462)
Appendix: Symposium Program (463-464)

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OCR for page 208
SYNOPSIS OF GENERAL AUDIENCE DISCUSSION Two general points wale raise] from the floor. 1. When discussing natural language ~nterfa~-= for human-computer interaction, one should make a clear separation between those requiring a~;tory input and those accepting natural language. Although these two features are highly correlated, they need not be. One could consider a speech input that would restrict language to a subset, such as single word oo=mands or even special codes. Similarly, there could be natural language input that was entered via keyboard. Although there is an additional memory load Em posed on the user if speech input accepted only a subset of natural language, there may be some applications that could effectively use this mode. . , 2. Allen Newell wished to emphasize the importance of having specific, detailed cognitive models as the basis for design ng human-computer interfaces. m e current researchers who using this approach is very small, and though growing exponentially, the growth rate is very "leisurely." The ad roach has the advantage of not only specifying details of the processing mechanisms of cognition and their interaction, but also of specifying the details of the task the user is engaged in. Having the details of the took ~ ~ provide benefits beyond redesign of the interface. key could serve as the basis f ~ u which the task itself could be redesigned, affording prcUuctivity enhancements from a straightforward efficiency analysis. Newell recommended a strong incentive be established for researchers to conduct their work in the context of cumulative, model-based theories of cognition, and let the design principles fall from them. 208

Representative terms from entire chapter:

speech input