The Relationship Between Aesthetic Evaluation of Product Design and Purchase Intention in 100-Yen Shops– Focusing on Uniqueness, Humor, and Unexpected –
Abstract
In recent years, various types of retail shops have appeared in Japan. The popularity of 100-yen shops can be attributed to the low price of 100 yen per item and the high quality of their products, which have won awards for design from Japanese organizations. The gap between "Low Price and High Quality" and "High Quality" is judged to be surprising to consumers. Thus, 100-yen shops are famous for their affordable prices and high functionality. On the other hand, there have been no cases where the relationship between the sensitivity evaluation of 100-yen shop products and willingness to purchase has been analyzed. Therefore, this study aims to visualize and investigate the relationship between consumers' assessment of the uniqueness, humor, and unexpectedness of 100-yen shop products and their willingness to purchase them. Seven participants visited three different 100-yen shops in Hakodate in evaluation experiment 1. The collaborators were asked to photograph each "Unique and Humorous" and "Unexpected" product and describe their reasons for choosing. Then, 281 participants in their 20s to 70s were asked to complete a questionnaire about the 100-yen shop. Then, as part of Evaluation Experiment 2, we investigated how they would evaluate the products using the pictures taken in evaluation experiment 1. The results showed that more than half of the consumers plan what they will buy before they go to a 100-yen shop, but they tend to make impulse purchases due to low prices or buy unexpected items to stock up on consumable items. Moreover, "Unique and Humorous" was strongly related to "Unexpected." On the other hand, "Unique and Humorous" did not lead to "Want to Buy".
Keywords: 100-yen Shop, Humor Design, Product Design
DOI: 10.54941/ahfe1005619
Cite this paper
More from this volume
- Implementing an AI Fatigue Risk Management System for Aviation Maintenance SMS: A Technology Enhanced Critical Process Human Factors Safety Plan
- Deep Learning Forecast of Perceptual Load Using fNIRS Data
- Artificial intelligence in the function of improving port systems
- Formalizing Trust in Artificial Intelligence for Built Environment Decision-Making
- Artificial Intelligence and Design: Innovation, Practical Applications, and Future Creative Horizons
- Supporting Informal Sustainability Learning with AI-assisted Educational Technology
- An assessment of the maintenance of heritage buildings using AI and IoT: a South African perspective
- What if we Could Entangle Drones? Towards the Management of a Swarm of Drones as a Non-Local Quantum Object
- Engaging All Elderly Residents in Community Renewal: Designer Spotlight Interview Tool for LLM Building
- AI Play in Higher Education: Students’ perceptions of play and co-creation of knowledge with generative AI
- Optimizing AI Involvement in Engineering University Courses Based on Students' Personality
- Predictive Model for Partner Agencies Dependency on Food Banks


AHFE Open Access