Abstract: When introducing technical innovations to the consumer marker, 4
     basic tasks must be performed to produce an early forecast of the rate and
     extent of adoption: 1.  measure current state of knowledge about the new
     product, 2.  artificially advance knowledge to the state normal prior to
     an adoption decision, 3.  measure the probability of adoption by
     individuals whose knowledge is equivalent to what it would be at time of
     decision, and 4.  predict purchase choices of these individuals and
     validate against external data.  Subjects must be exposed to information
     stimuli designed to influence the adoption of an innovation by the feeding
     of generic new product information, economic and use conditions, and
     comparative brand-specific information on existing brands versus the
     innovative one.  The improvement in discriminatory power afforded by
     additional learning about an innovation increases dramatically in the full
     disclosure condition grouping of individuals.  How a sponsor communicates
     about an innovation can influence preferences and choice.  These
     progressions should be used: 1.  measure levels at dispersion, 2.  specify
     levels desired at intervals, 3.  plan communication designs, and 4. 
     monitor and adjust communication strategies.