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Stephen J. Morrissey

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Publication statistics

Pub. period:1988-1992
Pub. count:4
Number of co-authors:5

Co-authors

Number of publications with 3 favourite co-authors:

Rhonda A. Kinghorn:1
Tammy E. Fleming:1
Alvah C. Bittner:1

Productive colleagues

Stephen J. Morrissey's 3 most productive colleagues in number of publications:

Alvah C. Bittner:13
Rhonda A. Kinghorn:5
Tammy E. Fleming:2

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May 20

CTS 2013 - The 2013 Intl. Conf. on Collaboration Techn. and Systems

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 18

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Stephen J. Morrissey

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Publications by Stephen J. Morrissey (bibliography)

1992

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Fleming, Tammy E., Morrissey, Stephen J. and Kinghorn, Rhonda A. (1992): Subjects in Human Factors: Who Should They Be?. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. pp. 1241-1243.

“The already diverse workforce in America is expected to diversify at an even greater rate over the next decade. Projected workforce changes include those of age, gender, and race. The recently passed Americans with Disabilities Act also ensures that a growing number of persons with diverse physical needs will enter the workforce. Data from Moroney and Reising (1992) provide some clear indications of the types of subjects currently used in human factors experiments. Not surprisingly, these subjects represent a range of persons that is much less narrow than the range represented in the current and projected workforce. If not corrected, the differences between human factors subjects and those of the American workforce will increase at a magnified rate. To ensure that the results produced from human factors experiments are useful and valid, researchers should first analyze the diverse characteristics of their intended users and select subjects who possess these characteristics.”

1991

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Janson, Marius A. and Morrissey, Stephen J. (1991): Legibility of Video Display Units: One More Look. In Behaviour and Information Technology, 10 (6) pp. 525-542.

“Linear regression is often used to analyse and summarize data, and to uncover, clarify, and simplify a data structure. The outcome of these activities depends of both the analyst's domain-specific knowledge and on the data. Analysing the data also affects the analyst's understanding about the data and, hence, the act of analysing data is inherently a recursive activity, with each new iteration potentially providing additional insights. This process calls for a strategy of exploratory data analysis that consists of techniques for flexibly analysing, summarizing, and re-expressing the data.”

1989

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Morrissey, Stephen J. and Bittner, Alvah C. (1989): Accuracy of a Ratio-Estimation Method to Set Maximum Acceptable Weights in Lifting Tasks. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 742-744.

“This study examined the accuracy with which trained and conditioned females could set Maximum Acceptable Weights (MAWs) using ratio estimation. Examined were two lifting ranges, floor-to-knuckle and knuckle-to-shoulder, and four lift frequencies (lifts every 9-, 20-, 60-, and 120-seconds). In each of the eight conditions subjects set the MAW using the method of adjustment. Immediately after the MAW had been set, the task was changed, performed for a few cycles, and rated using ratio estimation. This rating was used to establish an estimated MAW for the second lifting task. On a later day, the MAW was set for the second task using the method of adjustment and the MAW for the original task estimated with ratio estimation. This allowed comparison of the accuracy of MAWs set by psychophysical and ratio estimation methods as affected by the frequency and lifting zone of the standard task. Consistent with previous research there were significant effects on the MAW due to frequency of lift and the lift range. Also, and importantly, there were no significant differences between MAWs set by ratio estimation and by the traditional method of adjustment (p>0.6). This indicates that ratio estimation is an accurate method to quickly establish MAWs for a variety of lifting tasks. This indicates that MAWs for entire classes of lifting tasks can be quickly and accurately determined with ratio estimation.”

1988

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Morrissey, Stephen J. and Chu, Rose W. (1988): Legibility of Video Display Units During Off-Angle Viewing. In Behaviour and Information Technology, 7 (1) pp. 3-9.

“This research examined how off-angle or oblique viewing of a VDU screen and the physical location of a message on the screen influenced message legibility. Eight trained subjects viewed five-character long common words, number strings, and alphanumeric messages presented at 15 different combinations of oblique viewing angle and location of message on the VDU screen for 2.5 seconds. It was found that common words and number strings showed little overall loss in legibility except when oblique viewing angle exceeded {plusmn}32{deg}. Alphanumeric messages were found to have a significantly lower legibility than the common words and number strings. It was recommended that for best overall legibility of the three types of messages studied here, that oblique viewing angles be less than {plusmn}32{deg}. Predictor equations were also developed to aid in predicting loss of accuracy based on the type of message and physical features of the viewing task.”

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