Vivid application scenarios are centered on user needs

New thinking in the situation era

For traditional home appliances, the user is accustomed to each switch, each key can only control the operation of a device thinking. For smart devices, "scenarios" can control multiple devices: products can also be linked to each other, so we need to cultivate user-based operating thinking, and use each operation to trigger more devices.

In the functional age, each traditional zhi'd switch can only control the lights connected to the road. With the popularity of smart phones, people are all familiar with a variety of possible operations for an icon or button: short press, long press, double press, slide, and so on. Smart switch also draws on this idea and supports both short and long presses. So in the era of the scene, the short press of the switch still represents the previous operation function (this reflects the continuation of the traditional user experience), and a long press can trigger its binding scenario. For example, a long press of the left button will trigger a "bedtime scene": the lights of the family will gradually go out, the air conditioning, the fresh air system will become quiet, and the doors and windows will also enter the armed state. Therefore, the previous series of tedious operations can be integrated together to implement one-click triggering. In short, in the functional age, each switch, each button can only do one thing, and in the era of the scene, each key can trigger infinite function. For smart home products , you can guide users to accept this new thinking by prescribing scenarios and recommending scenarios.

The preset scenario is based on the user's device configuration to recommend some common scenarios. It can be recommended based on the common functions of the device, or it can be refined from the existing user group settings. For example, vendors often use social networks to collect user stories. On the one hand, they are strategies for online marketing, and on the other hand, they are learning how to use loyal users. To recommend a scenario, you need to go through a learning cycle and bind the user's coherent operations in one scenario. In the past five days, the user would habitually do something after returning home every day: turn on the living room light, turn on the air conditioner, and turn on the TV. When the user returns home on the 6th day, he can recommend a "home situation", in which the air-conditioning temperature is determined by the average of the first 5 days, and the television uses the channel most frequently viewed by the user. In addition, operations such as starting the washing machine, turning on the speakers, etc. are accidental and are not put into the recommended scenario. Of course, the user can also make some edits to the recommended scenario, and the user's editing operation will be the best feedback.