Conference Agenda

Session
Short 4: Applied Design Creativity
Time:
Friday, 28/Aug/2020:
12:45pm - 1:20pm

Session Chair: Yuri Borgianni
Location: Online

Presentations

The effects of customers' cultural values on their perceptions of lodging service quality: A comparative analysis of customers at traditional Japanese inns

Nguyen PB Chau

Hitotsubashi University, Japan

Growth in international travel has led to the need to be aware of cultural elements in designing services. This paper examines how consumers’ culture influences their perceptions of lodging service quality with strong cultural characteristics, by comparing the evaluation of Asian and Western guests at Japanese-style inns (ryokan). Results show differences in their perceptions, with Western guests evaluating the service more preferably than Asian customers. The study suggests lodging facilities to consider the culture of their guests when designing their service environment.



Analysing Divergent-Convergent Activities in the Architectural Studio, with the aid of the 'Knowledge Construction Activities' model

Hadas Sopher

Technion, Israel

Design activities and divergent-convergent developmental activities are considered to be of essential importance in developing design solutions, making them an important learning objective in the architectural studio. However, since most studio assessments focus on the quality of the artefact, learners are not provided with adequate feedback as to their achievements in applying these activities during the learning process. In response, this study utilizes the "Knowledge Construction Activities" (KCAs) model as a means to measure the application of the stated activities in learners' performance throughout the course. Learners' design decisions and the modifications applied upon them to generate design development are coded into measurable learning graphs, making it possible to identify peaks of divergent-convergent activity as well as reduced practice. A case study of three undergraduates highlights in detail each subject's performance, providing the means to support a custom-tailored approach to teaching.



Relationship between design thinking and personality traits

Rui Mao1, Yuichi Washida2, Nanami Furue3

1Hitotsubashi University, Japan; 2Hitotsubashi University, Japan; 3Tokyo University of Science, Japan

This paper is an attempt to gain more better insight of into design thinking from a micro-viewpoint by through the associatingon of design thinking with human beings’ personality traits. Based on the previous research, we conjecture that personality traits are also associated with the capacity for utilizing design thinking. In order tTo examine test the our hypotheseis, we focused on the five-stage Design Thinking model proposed by the d.school and utilized FFM (Five-Factor Model) to a description ofbe personalityies. 28 students, who have experiences of design thinking activities, participated in the study who have experiences of design thinking activities. We used correlation analysis and observed the significant relationship between personality traits and individuals’ capacity for utilizing design thinking.



A Statistical Analysis for the Car Key Fob Crowdsourced Design Evaluation Results based on the cDesign Framework

Hao Wu1, Jonathan Corney2, Jing Gan1

1Sichuan University, China, People's Republic of; 2University of Strathclyde, UK

The “power of the crowd” has been repeatedly demonstrated and various Internet platforms have been used to applied collaborative intelligence to areas that range from open innovation to conceptual design. However, crowdsourcing applications in the fields of design research and creative innovation have been much slower to emerge. In this paper, the statistical analysis methods (i.e., normal probability plots) were used to validate the crowdsourced design evaluation results in the authors’ previous crowdsourced design case study (i.e., car key fob design task). The discussion about the ranking distributions and results suggested that standard distribution trendlines and r2 results proved the effects of the ranking evaluation method used in the case study. The distribution determined that the evaluation process and results matched a normal distribution. As the contribution to knowledge, this paper applied the statistical analysis method to measure and approve the crowdsourced design evaluation method and its results.