Our hardware, developed and manufactured over many years, is now in its 4th generation, incorporating field-experienced feedback. But why hardware? Wouldn't it be simpler to perform tests online and via software? Yes, it would be easier and more straightforward for the service provider, but we have chosen the harder but correct path.
PractiWork® hardware is likely new to participants, thus no one is at an advantage or disadvantage in using it. This provides equal conditions for everyone.
The validity of psychometric tools means that the test actually measures what it should, nothing else. One form of validity is face validity, which shows how clear it is to the test taker what the test measures. This is important because if participants understand what the test measures, they are more likely to accept the results. The face validity of hardware tests is especially high, particularly for tests measuring psychomotor abilities.
Participants can provide immediate feedback to the administrators, who then pass these observations directly to the development team, thus the system continuously improves based on user experience.
The measurement conditions are uniform and controlled for everyone, not affected by different functionalities of various devices (e.g., tablets, PCs, or phones). This meets the measurement requirements and allows for accurate measurement of psychomotor abilities, regardless of internet speed or bandwidth.
HARDWARE AS A DATA COLLECTOR
Hardware data collection is crucial for enhancing the efficiency of AI-based analyses as it ensures the objectivity and reliability of data. The data collected with specialized hardware accurately captures individuals' abilities, preferences, and personality traits, eliminating distortions arising from human error or subjectivity. It is important to note that AI here refers to a range of unsupervised machine learning techniques, such as cluster analyses.
The data quality provided by the hardware enables AI to find accurate and relevant patterns and connections in the data. AI algorithms thus can make more reliable predictions and recommendations, as the input data are objective and consistent. This hardware supports the effective functioning of AI, essential for optimizing labor market processes and planning individual career paths.
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