AI UX—Design Helper Usages

This episode discusses the types of usages that have a high return on investment, and how you can and why you should prioritize helper usages.

This is AI:UX, a miniseries focused on 10 guidelines that were created to assist all those that are involved in the design and development of AI based systems. I'm Daria Loi, an Intel researcher, and today I talk about guideline number five, prioritize helper usages. 

During my study, people express what usages have a high ROI, or return on investment. Utilitarian usages, they make them feel efficient yet in charge. For instance, a system that provides a range of options to prioritize your day and asks if it should automate things for you. Usages that make them save money, energy, and time. For example, being able to detect that you have a leaky roof before it's too late. 

Usages that reduce their preoccupations. An example of this could be a system monitoring your children, to alert you if an accident has occurred. I call all these usages with high ROI helper usages. One of my interviewees pointed out the value of helper usages by explaining that she wanted peace of mind and the ability to be away while still being able to check on the room, and for it to save her money and energy. Keep in mind that some usages that don't necessarily have a high ROI will likely fail in gaining the confidence of mainstream users. 

Not only that, but the approach may have long-term repercussions on the product's success and users' willingness to embrace it. However, it is important to make clear that less efficiency-centric usages that are not labeled as helper still matter. Don't eliminate these usages just because they aren't defined as helper usages. 

Many non-helper usages can add value by tackling areas such as social connection, entertainment, or content augmentation. Regardless of labels, I highly recommend you prioritize usages that truly matter to users. Thanks for watching. Don't forget to like this video and subscribe. I will see you next week on Tuesday for more AI:UX.

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