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CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...

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III Consumer <strong>and</strong> Agent Psychology<br />

1. Cavanaugh, J.R., R.W. Hatch <strong>and</strong> J.L. Sullivan. Models for the subjective effects <strong>of</strong> loss, noise<br />

<strong>and</strong> talker echo on telephone connections, Bell System Technical Journal, 55, 1976, 1319–1371.<br />

Abstract. Tests have been conducted at Bell Laboratories within the last 10 years to obtain<br />

subjective evaluations <strong>of</strong> the effects <strong>of</strong> loss, noise, <strong>and</strong> talker echo on telephone transmission<br />

quality. We use these subjective test results to formulate graphical <strong>and</strong> analytical models <strong>of</strong><br />

subjective opinion that can be used in network planning studies to evaluate transmission performance<br />

<strong>of</strong> the network <strong>and</strong> to study the effects <strong>of</strong> network changes on performance. These models<br />

are based on the concept <strong>of</strong> a generalized transmission-rating scale. Separate opinion curves for<br />

each test take into account differences caused by factors such as subject group, type <strong>of</strong> test, <strong>and</strong><br />

range <strong>of</strong> conditions. We also describe the methods <strong>of</strong> data analysis used in the formulation <strong>of</strong><br />

the transmission-rating scale <strong>and</strong> opinion models, provide a comparison <strong>of</strong> the test results with<br />

the models, <strong>and</strong> discuss the models in sufficient detail to permit their application in transmission<br />

planning studies.<br />

2. Cohen, H.S. <strong>and</strong> B.W. Kort. Psychological evaluation <strong>of</strong> telephone switching <strong>and</strong> transmission<br />

performance. Proceedings <strong>of</strong> the Human Factors Society, 21st Annual Meeting, San Francisco,<br />

1977, 505–507.<br />

Abstract. In order to set st<strong>and</strong>ards for the performance <strong>of</strong> the telephone network, it is necessary<br />

to underst<strong>and</strong> the subjective effects <strong>of</strong> the telephone service impairments we wish to control. In<br />

a laboratory environment, we asked subjects to play a computer-controlled game which required<br />

the frequent use <strong>of</strong> the telephone as a natural part <strong>of</strong> the game. Impairments to telephone<br />

switching service, such as dial-tone delay, post-dialing delay, <strong>and</strong> blocked call attempts, <strong>and</strong><br />

impairments to telephone transmission quality, such as loss <strong>and</strong> noise were introduced into the<br />

telephone service which the subjects experienced. After each use <strong>of</strong> the telephone, the subjects<br />

rendered their opinion, on a five-point rating scale, as to the quality <strong>of</strong> telephone service just<br />

provided.<br />

The data produced by the experiment were used to construct a mathematical model <strong>of</strong> customer<br />

opinion as a function <strong>of</strong> the objective measures <strong>of</strong> telephone network performance. This model<br />

will enable us to analyze the present performance <strong>of</strong> the telephone system. More importantly,<br />

the model will enable us to estimate customer opinion for future telephone systems, were we<br />

to implement new or revised st<strong>and</strong>ards for the control <strong>of</strong> switching <strong>and</strong> transmission impairments.<br />

3. Duffy, F.P. <strong>and</strong> R.A. Mercer. A study <strong>of</strong> network performance <strong>and</strong> customer behavior during<br />

direct-distance-dialing call attempts in the U.S.A., Bell System Technical Journal, 57 (1), 1978,<br />

1–33.<br />

Abstract. A survey was conducted throughout the Bell System in October 1974 to gather detailed<br />

information about Direct-Distance-Dialing call attempts. The dispositions, setup times,<br />

<strong>and</strong> customer ab<strong>and</strong>onment times associated with DDD attempts are discussed in detail in this<br />

article to provide network performance <strong>and</strong> customer behavior characteristics to network planners<br />

<strong>and</strong> administrators <strong>and</strong> to designers <strong>of</strong> equipment <strong>and</strong> systems which use, <strong>and</strong> interact<br />

76

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