"Environmental measures" in the forms of probability inductions are conceptualized to express the relationship between environmental conditions (temperature, illumination, etc.) and human satisfaction levels for comfort and utility. An "evaluation" method is hypothesized as a way to gather the data needed to make environmental measure probability inductions. Evaluations gather counts and measures of objects and environments needed for human activities. Human satisfaction levels are then defined through questionnaires and indepth probes of cultural meanings, and correlated to the counts and measures. Environmental measure probability inductions are made from these correlations. Preliminary to making evaluation field studies, assumptions are made about environmental parameters, quantifying user activities, the validity of user opinions, the dimensions of cultural meanings, and the manipulation of data. Five "realities" are isolated for evaluation comparisons: objects, environments, standards, records, and opinions. (Some pages in Appendix C may reproduce poorly.) (Author)