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ReferencesNavigation arrowAuthorsNavigation arrowColleen Serafin
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Colleen Serafin

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Publications by Colleen Serafin (bibliography)

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1993
 
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Serafin, Colleen, Wen, Cathy, Paelke, Gretchen and Green, Paul (1993): Car Phone Usability: A Human Factors Laboratory Test. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. pp. 220-224.

“This paper describes an experiment that examined the effect of car phone design on simulated driving and dialing performance. The results were used to help develop an easy to use car phone interface and to provide task times as input for a human performance model. Twelve drivers (six under 35 years, six over 60 years) participated in a laboratory experiment in which they operated a simple driving simulator and used a car phone. The phone was either manually dialed or voice-operated and the associated display was either mounted on the instrument panel (IP) or a simulated head-up display (HUD). The phone numbers dialed were either local (7 digits) or long distance (11 digits), and could be familiar (memorized before the experiment) or unfamiliar to the subject. Four tasks were performed after dialing a phone number, two of the tasks were fairly ordinary (listening, talking) and two required some mental processing (loose ends, listing). In terms of driving performance, dialing while driving resulted in greater lane deviation (16.8 cm) than performing a task while driving (13.2 cm). In addition, the voice-operated phone resulted in better driving performance (14.5 cm) than the manual phone (15.5 cm) using either the IP display or HUD. In terms of dialing performance, older drivers dialed 11-digit numbers faster using the voice phone (12.8 seconds) than the manual phone (19.6 seconds). Dialing performance was also affected by the familiarity of numbers. Dialing unfamiliar numbers using the voice phone was faster (9.7 seconds) than using the manual phone (13.0 seconds) and 7-digit unfamiliar numbers were dialed faster (8.2 seconds) than 11-digit unfamiliar numbers (14.5 seconds). Thus, the voice-operated design appears to be an effective way of improving the safety and performance of car phone use, but the location of the display is not important.”

© All rights reserved Serafin et al. and/or Human Factors Society

1991
 
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Green, Paul, Williams, Marie, Serafin, Colleen and Paelke, Gretchen (1991): Human Factors Research on Future Automotive Instrumentation: A Progress Report. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 1120-1124.

“This paper describes a 2-1/2 year project concerning human factors and future driver-information systems. The project goals are to (1) develop human factors guidelines, (2) devise test methods for safety and ease of use, and (3) develop a model that predicts driver performance when using these systems. A literature review has been completed and focus groups that identified driver needs have been conducted. In addition, a method was developed to select the most beneficial systems using accident reduction, congestion relief, and driver needs/wants as the criteria. Consequently, car phones, navigation, traffic information, vehicle monitoring, and hazard warning systems were selected for further study. Preliminary versions of each have been designed and laboratory tests are in progress. Usability tests in a driving simulator and on the road are scheduled.”

© All rights reserved Green et al. and/or Human Factors Society

1989
 
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Serafin, Colleen and Biers, David W. (1989): Paired Associate Learning Revisited: Paradigm for Assessing Ease of Learning and Transfer of Command Mnemonics. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 1206-1209.

“The present study investigated the use of a classic laboratory paradigm, paired-associate (PA) learning, to assess the ease of learning and transfer of command mnemonics. This paradigm was applied to the ease of learning text editing command language where the stimulus was a command (e.g., Delete Block) and the response was the keystroke sequence associated with that command (e.g., ^DB). Two types of command keystroke sequences were employed; meaningful (M) abbreviations which were mnemonically related to command names (e.g., Delete Block - ^DB), and nonmeaningful (MN) abbreviations which are not mnemonically related to command names (e.g., Delete Block - ^LK). There was evidence for differential transfer only for the average number correct measure but not the trials-to-criterion-measure. For both first and second list learning, lt took significantly fewer trials to criterion to learn the M than NM keystroke sequences. The present results point toward the use of the PA paradigm to standardize the ease of learning of command languages in software usability testing. It may be concluded that the trials-to-criterion measure and the average number correct measures are sufficiently sensitive metrics to differentiate ease of learning good from bad command mnemonics.”

© All rights reserved Serafin and Biers and/or Human Factors Society

 
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Jun 20

“ ...that strange new zone between medium and message. That zone we call the interface ”

-- Steven Johnson, 1997

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Latest books

The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad

 
Start reading

The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

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