Distribution of subjective assessments in a controlled aircraft environment

作者：Baumann Ingo^*; Trimmel Michael

来源：Aerospace Science and Technology, 2013, 25(1): 93-101.

DOI：10.1016/j.ast.2011.12.012

• Questionnaire analysis
• Poisson-distribution
• Fitting
• Environmental perception/prediction
• Simulated flights

Within the project ICE (%26quot;Ideal Cabin Environment%26quot;, funded by the European Commission under contract no. AST4-CT-2005-516131), the impact of different environmental conditions on comfort was investigated by 1500 participants in total. The ICE consortium was made up of 15 members from eight countries. Simulated flights of 8 hours each with 1100 passengers on 29 days were conducted in a large-scale aircraft cabin environment facility near Munich, Germany in winter 2006/2007. During these tests, typical in-flight conditions for noise, vibration, temperature, humidity, and pressure were presented with different level combinations on different days in order to analyze possible effects of these parameters on participants%26apos; comfort and well-being. The environmental conditions and passengers%26apos; physiological response were monitored by sensors, while psychological response was recorded using PDA-based questionnaires. For our share of evaluation, extensive statistical methods were used, applied on a flightby-flight analysis. %26lt;br%26gt;As one outcome, the possibility to describe a large class of responses by a function based on the Poisson distribution is shown. An approximation of observed data was performed using the d(max) test criteria of the Kolmogorov-Smirnov goodness-of-fit test. In addition, R as the variance-to-mean ratio (VMR) was determined and compared to the quality of the predictions with a significant equality to the observed data. For subjective ratings on a unipolar scale and a calculated VMR of R %26gt;= 0.72 in raw distribution data, a success rate of nearly 95% in representing the observed data distribution with one single parameter was identified. This approach allows for a representation of an average participant%26apos;s impression (answer distributions of questionnaire data) of a defined environmental condition and enables for a prediction of not measured, interim situations.

• 出版日期2013-3