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Richard D. Herring

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Publications by Richard D. Herring (bibliography)

1992

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Chin, John P., Herring, Richard D. and Familant, M. Elliott (1992): A Usability and Diary Study Assessing the Effectiveness of Call Acceptance Lists. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. pp. 216-220.

“Nuisance or unwanted calls have always been a problem to subscribers of phone services. One possible solution is a network based service that allows subscribers to control the calls they receive by using a call acceptance list. When the call acceptance list is activated, all callers not on the list would be automatically routed to a voice messaging system. Those callers on the list would be allowed to ring the subscriber's telephone. This study assessed the effectiveness of call acceptance lists in reducing unwanted telephone calls. Participants used a prototype telephone-based interface to establish a list of telephone numbers from which they would always accept calls. At the same time, they logged each of their incoming calls in a diary, recording the telephone number that originated the call, and whether they wished to receive the call. The call acceptance list significantly reduced the number of unwanted calls”

1990

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Herring, Richard D. (1990): Evaluative Methods for Rapid Prototypes. In: D., Woods, and E., Roth, (eds.) Proceedings of the Human Factors Society 34th Annual Meeting 1990, Santa Monica, USA. pp. 287-290.

“There are a variety of techniques that can evaluate rapid prototype design alternatives for human-machine interfaces. These techniques can be used singly, or in combination. Empirical techniques require that the analyst obtain data from respondents who exercise a rapid prototype. Empirical techniques include questionnaires, observation and unobtrusive methods of data collection, and retention tests. Analytic techniques do not require data collection, but require that the analyst have a formal description of the human-machine interface and use methods for evaluating these descriptions. Analytic techniques include structured walkthroughs, behavioral models of human-machine interaction, Operator Sequence Diagrams (OSD), and Link Analysis. Empirical and analytical techniques can lead to systems that are more likely to meet users' needs, especially when the analyst employs several techniques simultaneously.”

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