Perceived Quality


Customer perception of product quality is a key factor in creating successful products. Perceived Quality (PQ) represents all aspects that create a feeling of good quality of a product. The producer’s ability to predict engineering execution that forms a basis for high PQ is related to both simulation and interpretation.


Theme Leader: Dr. Casper Wickman, Volvo Car Corporation/Chalmers


Important research areas 

  • Customer demands and requirement for improved PQ 
  • Simulation and visualization of visual PQ
  • Squeek & Rattle (S&R) simulation  


The main focus is customer understanding due to similar needs from the industrial partners. This is a very important area of the research, since customer demands diverge between markets and for different segments and products. During several research phases, the base has been established to create a new method to understand the customer value of PQ during all phases of a product development project. 


Since PQ became a research theme within the centre, the industrial demands have increased rapidly. There is a need to shorten project development time and to dramatically reduce dependency on product verifying test series. This means that both efficiency and virtual capability need to increase. Accordingly, all main enablers stated above need to be improved, regarding time and availability of test series.​


Ongoing research question

  • RQ1: How can different products on a global market be balanced and executed in order to optimize customer experience regarding Perceived Quality?
  • RQ2: How can weight factors based on customer insight be defined and structured in order to summarize Perceived Quality?
  • RQ3: How can knowledge be collected and reused in order to simulate and evaluate Perceived Quality in early development phases?
  • RQ4: How can simulation results be extracted and incorporated in high-end visualizations for evaluation of Perceived Quality?
  • RQ5: How can evaluation of Perceived Quality appearance requirements be automated? 
  • RQ6: How can virtual environments be configured and evaluation processes be adjusted in order to represent details?
  • RQ7: What are the limits for using results from a linear squeak & rattle simulation to assess a non-linear phenomenon?
  • RQ8: How can one “worst case” load for S&R simulation be defined?
  • RQ9: What is the impact of the temperature on the S&R simulation?
  • RQ10: How can the critical S&R interface be identified in an efficient way?


Published: Mon 28 Apr 2014. Modified: Mon 11 Apr 2016