scholarly journals Perceived Quality Evaluation with the Use of Extended Reality

2019 ◽  
Vol 1 (1) ◽  
pp. 1993-2002 ◽  
Author(s):  
Kostas Stylidis ◽  
Andreas Dagman ◽  
Håkan Almius ◽  
Liang Gong ◽  
Rikard Söderberg
Keyword(s):  
Measurable Space ◽  
Perceived Quality ◽  
Display System ◽  
Still Images ◽  
Head Mounted Display ◽  
Design Choice ◽  
Quality Aspects ◽  
Communication Method ◽  
Importance Ranking

AbstractIf designers want to communicate quality aspects of the product, there is a need to bring these characteristics into the measurable space of perceived quality (PQ) attributes. To illustrate the solution for designers' dilemma of the “best design choice” in this study we applied the PQ attributes importance ranking (PQAIR) method, with the example of a bread toaster. We choose for evaluation three PQ attributes which can significantly influence visual quality of a product: Gap, Flush and Parallelism. We performed the experiment measuring subjective preferences over the toaster designs of two respondent's groups - “Designers” and “Customers.” We used sequentially: (i) web-survey (still images); (ii) desktop system; and (iii) fully immersive head-mounted display system (Virtual Reality).Consequently, we conducted a post-experiment survey regarding subjective preferences, related to the PQ communication channels that have been implemented during the study. Our results indicate advantages and drawbacks for each PQ communication method that we applied in this experiment and encourage further research in the area of products' perceived quality assessment

A Framework for Non-Nominal Visualization and Perceived Quality Evaluation

2011 ◽  
Author(s):  
Ola Wagersten ◽  
Karin Forslund ◽  
Casper Wickman ◽  
Rikard So¨derberg
Keyword(s):  
Industrial Process ◽  
Perceived Quality ◽  
Product Development Process ◽  
Functional Quality ◽  
Quality Aspects ◽  
System Solution ◽  
Comprehensive Framework ◽  
Variation Simulation ◽  
Support Evaluation

Perceived Quality clusters different aspects that influence the customer’s perception of non-functional quality on a product that are perceive through senses. All together those aspects and the harmony between them reflect the producer’s ability to control product parameters and thereby also mirror the functional quality of the product. High Perceived Quality cannot be added to the product at the end of the developing process. Project prerequisites, system solution, factory capability etc. are criterion to succeed. Therefore, it is important to be able to evaluate Perceived Quality early in the process when product system solutions and architecture are defined, although data maturity is low. This paper presents a comprehensive framework to manage and support evaluation of Perceived Quality aspects in a product development process. The framework is based on an industrial process in combination with recent research within the field. The framework focuses on activities that can be performed at different stages in the developing process based on maturity of the CAD or styling data. For example, if the styling data is divided into different components by split-lines it has reached higher level of maturity then styling data that not has been divided. Consequently, the choice of applied method is based on data maturity, regardless phase in the developing process. The framework contains methods based on several different simulation and analysis techniques. Design methods, Computer-Aided Tolerancing and FEA based non-rigid variation simulation are represented in the framework.

scholarly journals Quality Aspects in Digital Broadcasting and Webcasting Systems: Bitrate versus Loudness

2017 ◽  
pp. 26-31
Author(s):  
Przemysław Gilski ◽  
Sławomir Gajewski ◽  
Jacek Stefański
Keyword(s):  
Real Time ◽  
Perceived Quality ◽  
User Preferences ◽  
Coding Efficiency ◽  
Quality Aspects ◽  
Digital Broadcasting ◽  
Subjective Study ◽  
Radio Programs ◽  
Objective Study

In this paper the quality aspects of bitrate and loudness in digital broadcasting and webcasting systems are examined. The authors discuss a survey concerning user preferences related with processing and managing audio content. The coding efficiency of a popular audio format is analyzed in the context of storing media. An objective study on a representative group of signal samples, as well as a subjective study of the perceived quality of real-time broadcasted and webcasted radio programs are performed.

Investigating the Ease-of-Retrieval Effect in an Eyewitness Context

2019 ◽  
Author(s):  
Roy Groncki ◽  
Jennifer L Beaudry ◽  
James D. Sauer
Keyword(s):  
Cognitive Processes ◽  
Task Difficulty ◽  
Memory Studies ◽  
Relevant Information ◽  
Perceived Quality ◽  
Expected Effect ◽  
Bayesian Testing ◽  
Finding Study ◽  
Identification Confidence

The way in which individuals think about their own cognitive processes plays an important role in various domains. When eyewitnesses assess their confidence in identification decisions, they could be influenced by how easily relevant information comes to mind. This ease-of-retrieval effect has a robust influence on people’s cognitions in a variety of contexts (e.g., attitudes), but it has not yet been applied to eyewitness decisions. In three studies, we explored whether the ease with which eyewitnesses recall certain memorial information influenced their identification confidence assessments and related testimony-relevant judgements (e.g., perceived quality of view). We manipulated the number of reasons participants gave to justify their identification (Study 1; N = 343), and also the number of instances they provided of a weak or strong memory (Studies 2a & 2b; Ns = 350 & 312, respectively). Across the three studies, ease-of-retrieval did not affect eyewitnesses’ confidence or other testimony-relevant judgements. We then tried—and failed—to replicate Schwarz et al.’s (1991) original ease-of-retrieval finding (Study 3; N = 661). In three of the four studies, ease-of-retrieval had the expected effect on participants’ perceived task difficulty; however, frequentist and Bayesian testing showed no evidence for an effect on confidence or assertiveness ratings.

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