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Vertical Applications of ProtoGenie (continued)
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Product Evaluation (Continued) There are two basic types of product evaluation: performance testing and technology evaluation. Performance testing involves the external attributes or properties of a product. Criteria generally include adequacy, flexibility, “feel,” usability, cost, effectiveness, speed, responsiveness, reliability, support, documentation, compatibility, and other. In some cases, criteria might be subjective with qualitative measurement. In other cases, criteria might be objective with quantitative (metrics) measurement. Testing may involve one product or the comparison of two or more. Performance testing can be done by one evaluator (expert) or by a panel of experts (judges). Performance testing can be done as part of pre-release, beta, and market preparation processes or anytime in the lifetime of the product. The fundamental difference between technology evaluation and performance testing is that the focus of evaluation is on the “change” technologies behind products rather than external attributes of the products. The basic question is does this intervention work? There are two basic types of technology evaluations, one is invasive, and the other non-invasive. Invasive means getting inside the product to establish communication with ProtoGenie. Generally speaking, getting inside hardware devices and source code requires the permission, cooperation, and assistance of the product maker - which is often difficult and costly to do. Consequently, there are three workarounds not requiring access to the product’s interior. These are non-invasive and have no communication between the product and ProtoGenie. There are three non-invasive methods for evaluating product core technologies, Inferred effects, sequential, and synchronized. The Inferred Effects Method - Before/After Test design calls for measurement of some evaluation criterion, such as reading speed, before a product (like speed reading exercises) is used with another measurement taken after the product is used. Observed changes are attributed to underlying technologies (interventions). In the Sequential Approach design, data are collected from a run or series of runs of the target product. Measurement is independent of ProtoGenie. Measures of performance such as words per minute are made manually. Results are punched into ProtoGenie for analysis. The only coordination between the programs is in the specification of what is going to be measured. For example, standardized reading passages could be punched into a reading assistance program and ProtoGenie could be used to measure elapsed reading times with and without the special reading technology turned on. The Synchronized Approach is a variation of the sequential model except that ProtoGenie and the target program are synchronized and run together. Two computers are used side-by-side, one with ProtoGenie set up for the run and one with the target application set up to run. When the trial begins, the subject answers the symptom questions on the ProtoGenie machine. Then, ProtoGenie gives the instruction to start when ready, the tester clicks the start button when the subject begins the trial and clicks the finished button when the subject has completed the trial. Then the subject looks at the testing computer with ProtoGenie and answers the comprehension questions for the passage read and any follow up symptoms or preference questions. Invasive types of technology evaluation require penetration of the hardware device or software program to install some means of establishing communication between the product and ProtoGenie. That is, once two-way communication is established, then ProtoGenie can tell the subject what and when to do it and the subject can input responses to the program. Also, the sequencing of events can be controlled from ProtoGenie. There are basically three ways that this kind of communication can be established. They are custom hooks, OS method, and non-OS method. Embedding custom hooks in a piece of software requires the cooperation of the product maker who agrees to insert them for you. Usually there must be some form of quid pro quo or compensation for product makers to do this for you. Anticipation of a friendly and positive “Scientifically Tested” testimony for promotion might be sufficient. The OS Hooks Method sets up communication between ProtoGenie and the product through COM ActiveX features in the Windows operating system. The Non-OS Method establishes communication between ProtoGenie and a product using hacking technologies yet to be defined for this purpose. Early utilities, such as screen readers for speech access, were based on “interception” technologies that could monitor the communications between the OS and applications. Diagnosis (Continued) |
Political and Business Focus Groups (Continued) Online sessions may range from minutes in real time to weeks of intermittent communications and the same subjects may participate in subsequent sessions for follow up purposes or for studies of different issues. In political research, this device has great potential to help remedy the problems of political institutions like the primary system, which has virtually eliminated deliberation from the process of nominating candidates for office. It may also become a major tool in online public interest advocacy groups, where the deliberation networks are already in place and where objectives are to extend democratic participation. Complex Visual Stimuli (Continued) ProtoGenie in the Law (Continued) An example of a cybernetic application of ProtoGenie would be a Decision Support System (DSS) for judges, arbitrators, arbiters, referees, umpires, and commissioners. This system begins with a model (mathematical algorithm) of what facts should go into a certain decision and the weights that they should have in predicting the outcome of the decision. In the field, the decision-maker responds to a series of questions regarding the facts of the case before him or her and the system presents a suggested outcome for that case based on the information provided. The decision-maker then enters his/her decision. If that decision is significantly different from the suggested decision, then the decision-maker is prompted for an explanation of why the suggested decision did not fit the details of the case. Analysis then adjusts the prediction algorithm to fit the collective wisdom of large numbers of decision-makers and it flags those case in which a decision-maker appears to be rendering arbitrary and/or ill-informed decisions. Over time, the system learns and in effect says to a subsequent decision-maker that the suggested decision for that case would be made by X percent (say 95%) of all of his professional colleagues. |
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