The development and adoption of controversial default technologies

Default technologies evolve from failure. Within the realm of human behavior, technologies based on the use of aversive contingencies can be conceptualized as default technologies because they come into play when natural contingencies or positive reinforcement fail to produce a desired behavioral outcome. Historical as well as contemporary events suggest that it is a mistake for behavior analysts to advocate for the adoption of aversive technologies. We must, however, continue to play a leading role in the development of such technologies so that they will be used in an appropriate manner. Furthermore, the eventual elimination of aversive technologies will be possible only through continued, careful, and experimental analysis of the contexts of failure in which they are born.     

Employee Assistance Programs: A Systemic Investigation of Their Use

Braun, A.L., & Novak, D.E. (1986, November/December). A study of EAP non-utilization. EAP Digest, pp. 52–55. O'Connell, V. (1987, March/April). A strategy for overcoming supervisors' resistance. EAP Digest, pp. 63–66. Penzer, W.N. (1987, March/April). Toward sustaining quality mental health services. EAP Digest, pp. 35–40.     

A sample-to-disk system for psychomusical research

A hardware-and-software system is described that permits musical-bandwidth signal quantization, monophonic or stereophonic, direct to/from hard disk. The system, which uses an IBM AT or compatible, is cost effective and device independent. Software functions allow for automated aural and graphical signal analyses. Perceptual experiments that use contextual, natural-instrument stimuli, and that take advantage of the immediate and random access provided by this system, are described.     

What do decision models tell us about information use?

This paper develops hypotheses about the implications of different types of decision for the utilization of different types of systematically produced information: data, research, and analysis. The engineering and enlightenment models found in the knowledge utilization literature prove inadequate for this purpose. We turn to three decision models—routine, incremental, and fundamental–and determine their implied demands for information. We also examine how information might be used in scanning procedures in anticipation of decision regime shifts. The results suggest that patterns of information should differ markedly in each decision context and indicate that there may be an inherent bias against the use of research in decision. Evert A. Lindquist, a doctoral candidate at the Graduate School of Public Policy, University of Calfornia at Berkeley, is completing a dissertation onPolicy Institutes in Canada: The Organization and Relevance of Public Inquiry and will join the faculty of the Department of Political Science at the University of Toronto this fall. Organizations, public policy, and the role of information in decision making are among his primary research interests.     

Apple slide tachistoscope

We outline a BASIC program and subsidiary machine language timing routines that enable the Apple II series of computers to be employed as control devices for the tachistoscopic presentation of 35-mm slides and the collection of response latencies. The program is functional for experiments that require pictorial stimuli to be presented in up to three separate fields, with precise display times, precise interstimulus and intertriai intervals, and the collection of manual or vocal reaction times with millisecond accuracy. The major advantages of this system are that initial setup costs are substantially lower than those for other similar systems (e.g., Loftus, Gillispie. Tigre, & Nelson, 1984) and that user customization of the program may be accomplished by anyone possessing rudimentary knowledge of the BASIC programming language.