Nowadays, the term \u201csmart product\u201d has become prominent in our daily life. I believe many of you can easily pull out a few items with the label \u201csmart\u201d. Thinking of how your smart phone can upgrade its program while you are sound asleep before dawn, it would probably not be difficult for you to understand that a product and its family will grow constantly and change into new fashions which are not the same as the one that you currently have in your hands. For now, the upgrades of smart products are more about software. You probably complain that upgraded programs don\u2019t work as well as before. Have you ever imagined that your smart product can be changed into the style which you like? I\u2019d like to say, yes, it can, as long as the contextual data of your every-day use can be decoded, applied and responded in a correct way.<\/p>\n\n\n\n
When smart products have become the testing ground of technologies of Artificial Intelligent (AI) and Internet of Things (IoT), it would be hard to imagine the absence of AI in the development of a smart product. The design of smart products urgently needs the participation of AI to understand users better, to discover demands, and get inspirations, and importantly, to achieve these through the data. Therefore, in A3 I propose this new concept of AI Prototyping System for supporting Smart Product Development.<\/p>\n\n\n\n
The design\u00a0of smart products is also a collaborative learning process that aims at design innovation. In this course, I have learned a lot of fabulous online applications that\u00a0can\u00a0support collaboration, most of them apply\u00a0to simple and conventional scenarios. I also hope mobile collaborative learning can play its role in more complicated, specialized scopes, such as in group problem solving and innovation. I think the design of smart products is a pretty good experimental ground in this aspect. <\/p>\n\n\n\n
Here is my A3 presentation.<\/p>\n\n\n\n