Design Study of Merchant Selecting and Image Information Presentation of Takeaway Platform

• Main Authors: PEI,LU, 裴璐
• Other Authors: Chien-Hsiung Chen
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/h77zx8

碩士 === 國立臺灣科技大學 === 設計系 === 106 === The take out APP of the O2O model is prosperous with the popularity and application of mobile Internet terminals. Guided by the users's needs and integrated by the resources of take-out merchant to provide online take out services for the users. The take out APP started late and do not enter into Taiwan until 2015. At present, the market share of taking out platform accounts for about 5% of the entire catering industry, and the users are increasing all the time. But there is still large space for development. It is important to provide clear menu and a transparent evaluation system to users to help them choose the desired meal. The purpose of this study is to explore the interface usability of the take out APP, understand the function, interface presentation and usage levels to hrlp analyze the preferences and feelings of the users when operating the APP, and to propose a feasible design and provide follow-up development recommendations after the induction. This study consists of a two-stage experiment: 1. Leading experiment: This experiment adopts the method of single factor design, combines with the literature through experimental test, analyzes the function of the existing take out APP, and understands the user's needs through semi-structured interview. This study compares three take out APPs of “Hungry?”, “Mei Tuan” and “UberEATS”. The experiment is conducted by means of single factor design. The results of this study are as follows: (1) The performance of the three take-out tasks show significantly differences in the analysis of the filter function (task 3), shopping cart editing (task 4), and checkout function (task 5); (2) There are no significant differences in the analysis of the system usability scale (SUS) among the three APPs, and all are lower than the required score of 68. The using feeling taste for the three samples are not good for the user's tasks. 2. Verification experiment: The design and simulation of six different experimental samples according to the results of the leading experiment to explore the influences of subjective feelings. The verification experiment is put forward by a two-factor experimental design of 2 (information presentation mode) by 3 (screening method). The "information presentation mode" has two levels: (1) Large picture with less information: the merchant logo is displayed in a large picture with a small amount of information presented below; (2) Small picture with more information: the merchant logo is displayed in small picture style with complete information. The "screening method" has three levels: (1) List filter: all senior items and details in each senior item are visible; (2) Table filter: click each senior item and then you can enter to its detailed interface to select the item; (3) Accordion filter: the user can click and expand or collapse the item selection in the senior item. The research results show that: (1) "Table filter" can maintain the smoothness of interface switching when filtering the main and secondary project merchant interface, and does not need to repeatedly remember what content has just been operated by the user, and presents the filtered details in the interface in real time. (2) In the merchant information presentation interface, "small picture with more information" is better than "big picture with less information", which can reduce the user's task steps, giving the user the complete information needed is more important than the picture presentation; (3) In the order interface and the shopping cart interface, the “list filter” should be used. The reason is that at the same interface level, the user can make a glance when viewing the meal content, and the operation interface is more intuitive. (4) There is no significant difference in the analysis of the system usability scale (SUS) for the 6 simulation interfaces. The list filter is higher than the average score of 68. The scores of other two filter are between “OK” and “GOOD”. The feelings of ease-of-use was good for the six samples; (5) In the QUIS, the scores of the six simulated samples are all higher than the medium score of 4, and the users have a good feeling of overall responded, learning nature, interface presentation, and interface information of the user interface.