Browsing by Author "You, Hsiao-Chen"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item type:Item, Investigating Persuasion in Sustainable Design to Change Behaviour and Attitude(2010-01-01) ;Wu, Chia-Hsin ;You, Hsiao-Chen ;Deng, Yi-Shin ;交大名義發表National Chiao Tung UniversitySustainable design is critical to our life and is considered a future trend. On the basis of human-centered design method, we have utilized a persuasive design prototype as a research tool to investigate the potential users' perspective on sustainable concept. With the findings we were able to understand the influential factors of sustainable design with respect to food-mileage concept. Furthermore, we foresee that these findings can be referenced for future design/research regarding attitudes and behaviour change.Item type:Item, User's Subjective Interpretation of Bodily Movements as Gestural Commands to Robot Companions(2010-01-01) ;You, Hsiao-Chen ;Deng, Yi-Shin ;應用藝術研究所Institute of Applied ArtsStatistics show that domestic service robots for household chores, entertainment, or other social purposes will become a common scene in our future life. However, many of the human-robot-interactions still behave and feel like robots belong in laboratory or factory, and are not well-suited toward the wide variety of home users. Researchers have consequently called for better interaction design of robot companions to engage users in a more socially meaningful style. In order to cope with the challenge of HRI, understanding how people interpret their own gestures will aid design of effective HRI. This study explored how users subjectively assessed their bodily movments in terms of gestural command in HRI. Literature survey, analysis of current related intelligent products, and indepth interview with experts were adopted to identify the feasible gesture samples and commands used in nowaday robot-related products. An experiment was conducted to ask participants to view and experience each gesture sample, then make their subjective assessments of each sample in reference to a set of commands by a three-point scale. The results obtained are discussed in terms of implied guidelines for designing a natural and intuitive gestural interaction for companion robots and other intellectual appliances targeting non-expert users.