Four ways to avoid fatigue of IoT data

IoT technologies are already underway to revolutionize every industry, from transportation and buildings to manufacturing and the environment. With the explosion of sensors, sensor data, innovative ideas on how to take advantage of all the data and providers that implement solutions, there is a real danger of causing data fatigue for organizations that use these solutions, not to mention the end user or the consumer..

The case of the lost elevator

The building where my parents live in India has an old elevator with sliding elevator doors on each floor. The grill door acts as a safety device. If it does not slide manually, completing the electromagnetic circuit, the elevator will not move. However, if after leaving the elevator a passenger does not close the outside grill door, the elevator will remain on the last floor served, creating frustration for the next passengers who inevitably send the son or daughter of a neighbor to climb the stairs in Search for the elevator. stranded on an upper floor with its brass grill wide open.

A bad retrofitting experience: the whistling elevator

After residents persisted with numerous complaints about unsatisfactory experiences, the building operations team installed sensors to detect when the grill door was open or closed. If it is open, the system activates the voice recording of a woman who demands: "Please close the door" in three languages. The recording continues cascading through the speakers on each floor until finally someone enters the hallway and closes the grill door, sending the wandering elevator to its destination.

Not surprisingly, after the novelty of the woman who spoke disappeared, the residents found their announcement more irritating than useful, since the recorded voice seemed to bark orders from the moment they entered and exited through the elevator door. The presence of the elevator's angry voice now made the passenger experience even worse, causing them to rush out of the elevator, ending their experience less than optimal as quickly as possible.

There are two common causes that lead to data fatigue for users of IoT solutions:

1. Bad design for human consumption.

Yes, the technology can be amazing; But, without carefully considering the user experience in implementing a "solution," sometimes the impact of the solution leaves people in an even worse situation. Thinking first about the end-user problem and considering the human reaction to user experiences can help avoid similar catastrophes. The way in which humans interact with technology influences the success or failure of any solution; The value we attribute to technology affects the ease with which we adopt the new technology.

2. Piping solutions for stoves

Another implementation trap that can be equally detrimental to a successful adoption occurs when we try to solve too many IoT problems as individual point solutions. Potentially, this can lead to crossing the threshold of a user's ability to process new information. Redundancies can also cause inefficiencies in the systems themselves. Did you know that hospitals reported 80 deaths and 13 serious injuries attributed to alarm risks from January 2009 to June 2012? When it comes to the medical field, alarm fatigue is dangerous and, in fact, is a hot topic in the medical community.

IoT for buildings

Managing a large commercial building requires answers to questions such as:

How serious is the plumbing leak in the basement?

How many pounds of salad should I prepare for lunch in the cafeteria today?

What windows and doors are causing heat loss?

How much power does the fifth floor use compared to the average number of occupants on that floor this month?

What parts of the lift are close to the wear threshold and need replacement immediately?

Thousands of sensors enter data into the "IoT brain" of the building to answer these and other questions. There are hundreds of ways to design solutions to answer such valuable questions. This can easily lead to a high probability of data fatigue for users.

Avoid data fatigue

To avoid IoT implementations that cause data

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