Developing predictive models of user affective responses and a grading system for evaluating multi-crease patterns in...

Area of Science:

• Human-Computer Interaction
• Product Design
• Materials Science

Background:

• Foldable smartphones are emerging technology with unique design challenges.
• Creases on foldable displays significantly impact user experience and product perception.
• Objective evaluation methods for foldable screen aesthetics are needed.

Purpose of the Study:

• To investigate user affective (Kansei) evaluation of foldable smartphone creases.
• To develop a composite measure for assessing crease quality.
• To establish a predictive model and grading system for foldable display creases.

Main Methods:

• Twenty-five participants evaluated 20 foldable smartphone display prototypes with varying multi-crease patterns.
• Affective dimensions (invisibility, flawlessness, luxuriousness, harmoniousness) were rated on an 11-point scale.
• Overall goodness was assessed using a 7-point adjective-anchored scale; Principal Component Analysis and regression modeling were employed.

Main Results:

• A composite measure, Affective Quality Score (AQS), was identified, integrating four affective dimensions.
• A regression model was developed to predict AQS based on physical crease pattern features.
• A crease grading system was established to categorize multi-crease patterns by AQS.

Conclusions:

• The developed regression model and grading system enable prediction and grading of affective quality for foldable smartphone creases.
• These tools support design goal setting and continuous quality improvement for foldable smartphone products.
• This research provides a quantitative approach to subjective user evaluations of foldable display aesthetics.