logo
ResearchBunny Logo
Abstract
This study proposes a method for designing in-vehicle human-machine interfaces (HMIs) by quantifying the driver's emotional experience. It combines user experience journey mapping with Kansei engineering to accurately represent and quantify emotional needs. The semantic difference approach is used to link user behavioral touchpoints with Kansei imagery words, creating an emotional quantification curve. Design pain points are identified, and iterative design is implemented, validated through a study demonstrating the method's effectiveness in improving user emotional experience.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
May 29, 2023
Authors
Faren Huo, Yeying Zhao, Chunlei Chai, Fei Fang
Tags
human-machine interface
emotional experience
user experience
Kansei engineering
design methodology
iterative design
emotional quantification

Related Publications

Explore these studies to deepen your understanding of the subject.

The effectiveness of training teachers in problem-based learning implementation on students’ outcomes: a mixed-method study
Education

The effectiveness of training teachers in problem-based learning implementation on students’ outcomes: a mixed-method study

N. A. K. Alreshidi and V. Lally

Validation of preferred salt concentration in soup based on a randomized blinded experiment in multiple regions in Japan—influence of umami (L-glutamate) on saltiness and palatability of low-salt solutions
Food Science and Technology

Validation of preferred salt concentration in soup based on a randomized blinded experiment in multiple regions in Japan—influence of umami (L-glutamate) on saltiness and palatability of low-salt solutions

H. Hayabuchi, R. Morita, et al.

Analysis of the agricultural economic value of a weather forecasting service based on a survey of peasant households in Chinese provinces
Economics

Analysis of the agricultural economic value of a weather forecasting service based on a survey of peasant households in Chinese provinces

D. Shen, X. Zhao, et al.

Impact of Facebook on Social Support and Emotional Wellbeing in Perinatal Women during Three Waves of the COVID-19 Pandemic in Mexico: A Descriptive Qualitative Study
Medicine and Health

Impact of Facebook on Social Support and Emotional Wellbeing in Perinatal Women during Three Waves of the COVID-19 Pandemic in Mexico: A Descriptive Qualitative Study

M. A. Lara, L. Navarrete, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny