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Development of a Sonic Branding Process for Designing Automobile Engine Sound Based on Affective Engineering Approach : 감성공학적 접근법에 기반한 자동차 엔진음의 소닉 브랜딩 프로세스 개발 2018년 8월 서울대학교 대학원 산업·조선공학부 인간공학 전공 문 소

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Authors

문소연

Advisor
윤명환
Major
공과대학 산업공학과
Issue Date
2018-08
Publisher
서울대학교 대학원
Description
학위논문 (박사)-- 서울대학교 대학원 : 공과대학 산업공학과, 2018. 8. 윤명환.
Abstract
Sonic branding is an auditory method by which brand identity can be

presented. There are previous studies to group car sounds into three

categories, namely electronic sound, engine sound, and operation sound, as

an auditory user interface (AUI) and studies are conducted to apply sonic

branding to all AUIs in cars. In this context, car makers have put effort to

make their brand images appealing to customers using engine sound

achieved by hardware improvement, including intake and exhaust systems,

for decades.



Car makers are trying to represent their brand identities using active

sound design (ASD) systems, which are software solutions for engine sound

design that can be applied to current infotainment systems. Software

developing companies in Germany, France, and the UK have launched their

own ASD solutions, and the maturity of the software reached to a certain

level at which the solutions can be applied to mass production of cars.

Considering that the differences in hardware performances depending on the

brands are currently less than those before, the interest on ASD in the

automotive industry globally as a key method for improving affective

quality and presenting brand identity using engine sound, which is an

important AUI in automobiles, is increasing. However, most of previous

studies on ASD are for ASD algorithm development and there are few

previous studies on the ASD development process, which can be applied to a

real engine sound design. Moreover, it is known that car manufacturers have

difficulties in finding methods as to which brand identity can be presented

using the ASD system in their cars.



In this study, a sonic branding process for ASD is proposed, by which

brand identity and image is evaluated based on the acoustic parameters of

engine sounds, and to which a sonic branding method can be applied. The

overall development process has been built based on previous studies on the

AUI development process to keep its reliability. Subjective ratings,

interviews, and questionnaires, which are subjective measurement methods

for affective engineering, were used to propose methods for evaluating and

designing of engine sounds. A regression model for engine sound, which

shows the causal relationship between acoustic parameters and affective

adjectives, was derived for efficiency in evaluation and design.



For this purpose, a sonic branding process, by which levels of affective

adjectives of original engine sounds were evaluated on the positioning map

and were adjusted to new target positions to improve brand identity using

regression equations for acoustic parameters and affective adjectives, was

proposed. The positioning map is a two-dimensional grid for engine sound

evaluation, which has been used in previous studies. Second, a jury test was

conducted to propose regression equations, which are required for the sonic

branding process, and the result of the jury test was analyzed using statistical

methods to find the causal relationship between affective adjectives, which

present brand identity and car class, and acoustic parameters of engine

sounds. Third, new affective synthesis methods, which can be applied to

engine sound design using ASD, were introduced. Synthesis methods,

including musical harmonic theory and formant filter, which are being tried

by car manufacturers currently, were described, and new methods including

pipe organ mixture, break back, and beat effect were proposed. Fourth, new

engine sounds were developed on the ASD system equipped in target cars

following the sonic branding process to test the validity of the process. The

engine sound design was conducted in cooperation with a sound design

expert, who has insights for sound design. Six engine sounds were designed

in total and the positions of five engine sounds were found in the range of

target positions. Even if the position of one engine sound design was out of

range of the target position, the direction of movement was still within the

intended trendline.



The result of this study can be used to develop sonic branding for engine

sound. Development time can be decreased and the possibility of success

will be increased using the sonic branding process proposed in this study. In

addition, the regression model for engine sound developed in this study will

be helpful for estimating the character of new engine sounds for ASD

systems in advance. Estimating new engine sound characters will contribute

to proper engine sound designs to attain an efficient brand identity strategy

using engine sound.



However, the jury test was conducted for participants who have Korean

nationality and luxury and sporty car owners were excluded from the test. To

adapt the result of this study globally, additional study considering the

nationality and owned car type is necessary. In addition, sonic branding for

electric/hybrid vehicles based on the result of this study could be an

interesting topic for a future study.
Language
English
URI
https://hdl.handle.net/10371/143067
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