Applying User Perceived Value Model to Design Decisions: Using Run Tracking App As An Example

Abstract

With the popularity and hardware development of smart phones more and more mobile phone applications and service types have emerged Designers and developers all hope to develop products that are more successful than their competitors in a highly competitive market However in the face of unprecedented service types it is becoming more and more difficult to successfully convey the services and values provided by the products to users and to stand out among many competitors In this case if you can understand the user's perceived of the value of the product and further explore the impact of different design decisions on the perceived value of the product it will help the product designer to evaluate different design decisions and smoother the service value of the product Passed to the user The results show that the perceived value of the running app is affected by the perceived quality which can be measured by the aesthetic attributes functional attributes and social attributes of the product The perceived quality can explain 69% of perceived value while functional feature elements are most relevant to perceived quality followed by aesthetic attributes and social attributes This study also develops a scale that measures the aesthetic functional and social attributes of a product through a validation factor analysis In the second stage the common decisions of existing products are analyzed The scores of the scales of each decision-making form are compared with their trends in the market The design decisions are divided into four types: deterministic differentiated opportunistic and selective Designers or developers can analyze product and design decisions with this model At the level of the product understanding the aspects of the product's various attributes that have the greatest impact on the user's perceived value Furthermore at different design-oriented decision-making levels different decision-making performance scores are measured to understand their impact on perceived value

Date of Award	2019
Original language	English
Supervisor	Shuo-Fang Liu (Supervisor)