Analysis of Relationship between Electroencephalograms and Subjective Measurements for In-Vehicle Information System:...

Area of Science:

• Human-Computer Interaction
• Automotive Engineering
• Cognitive Science

Background:

• In-vehicle infotainment systems (IVISs) are complex, necessitating robust usability evaluations.
• Traditional subjective usability measures may not fully capture a driver's cognitive load or experience.
• Objective measures, such as electroencephalogram (EEG) data, offer a potential avenue for deeper insights into user interaction.

Purpose of the Study:

• To investigate the relationship between objective and subjective usability evaluation measures for IVISs.
• To explore the utility of EEG signals as objective indicators of user experience in IVISs.
• To propose and validate an experimental design for correlating subjective feedback with objective EEG data.

Main Methods:

• Evaluated four IVIS display configurations (cluster location, orientation).
• Collected data from 36 participants using EEG sensors and questionnaires during IVIS task performance.
• Analyzed a model to estimate objective EEG-based indicators from subjective user feedback.

Main Results:

• Objective EEG-based indicators were found to correlate with subjective usability assessments.
• The objective indicators effectively reflected the participants' cognitive states during IVIS use.
• The proposed experimental design demonstrated feasibility for analyzing the relationship between subjective and objective measures.

Conclusions:

• Objective measures derived from EEG can complement subjective evaluations in IVIS usability studies.
• The findings suggest EEG can provide insights into drivers' cognitive states related to IVIS interaction.
• This preliminary study establishes a framework for future research on objective-subjective usability correlations in automotive interfaces.