Examining the Effectiveness of Cross-Modal for Guidance in Automobile Driving

Miyu Kamota (Sophia University)･Takashi Otomo･Hideki Sakamoto (Alps Alpine)･Shoichiro Takehara (Sophia University)

The purpose of this study is to examine the effect of cross-modality, the interaction of the senses, in order to realize intuitive and comfortable guidance. In order to confirm the effectiveness of cross-modality, we extracted evaluation factors by conducting an evaluation grid method experiment. In this experiment, Subjects compare and evaluate guidance with different sound/vibration combinations within specific visual situations.

Structure of Model to Quantify Psychological Aspects of Tactile Feedback of Switches (First Report)

Takashi Otomo (Alps Alpine)･Miyu Kamota (Sophia University)･Hideki Sakamoto (Alps Alpine)･Shoichiro Takehara (Sophia University)

Switches equipped in the cockpit of automobiles require various tactile feedbacks depending on their purposes. Evaluation of tactile feedback has been conducted using adjectives. However, questions arose from the analysis results because of including psychological adjectives such as “comfortable”. In this study, we employed an evaluation grid method to structure and analyze Kansei. As a result, we constructed a model to quantify the psychological aspects of the tactile feedback of switches.

Development of Sensory Evaluation Methods and Verification using the Large Driving Simulator for Driving Pleasure

Takumi Aoki･Shoichiro Takehara (Sophia University)･Katsunori Tanaka･Hiromi Fujita･Koichi Onishi (Nissan Motor)

In this study, we conducted a sensory evaluation of the pleasure of driving a car. First, we classified the experiment participants based on the results of an SD method questionnaire conducted during real vehicle experiments and identified the characteristics of driving pleasure from the differences in preferences among each group. Furthermore, using the large driving simulator, we proposed an experimental method to verify these characteristic differences and demonstrated its effectiveness.

KANSEI-indexing for Creating Experiential Value in Moving Spaces

Aya Sakuma･Hirotoshi Nozaki･Yu Yamamoto･Yoshiko Ohzu (Sumika Chemical Analysis Service)

Achievement of human well-being is one of the important things in the value of next-generation mobility. Improving the quality of time spent on the move is effective to achieve it.
In this study, we aim to advance spatial design by identifying the values people seek in moving spaces and the factors contributing to these values. Using KANSEI engineering, we index the connection between these values and contributing factors.

Estimation of Passenger Anxiety State using Physiological Indexes under Real Vehicle Conditions

Yuta Aoki (Honda Motor)･Tomohiro Imai･Masamitsu Shiono (Honda R&D)

In this study, we consider that one of the causes of traffic accidents is human error linked to the mental state of the passenger, and we conducted basic technological research on estimating this mental state in order to prevent accidents. Specifically, we propose a machine-learning model that estimates the state of anxiety by inducing feelings of anxiety in a real car, searching for multiple physiological index changes that are linked to anxiety.