In the olden days, computing devices used machine input to guide users. These devices took machine input over user input to open doors, auto-forward calls, control switches, record activities, and also learn users behaviors automatically, over a period of time. Today, if we as users, feel out of control while using mobile apps, products slap a new screen on us. If we feel helpless, we are tossed with multiple options to choose from. Many organizations think that this “screen-slapping” phenomenon makes users happy. In the name of freedom and control, users are fooled with screens, interfaces, dropdowns, never-ending forms and so forth – on limited real estate devices like smartphones. We are enslaved by the current generation of mobile apps that are neither intelligent, nor intuitive, and rather painful to use. Is there a problem here? Of course, yes!
Machine input is any information that digital devices can find on their own, whenever and wherever possible. In this talk, Parimala Hariprasad introduces you to machine input, and how it can be put to smart use to create intuitive mobile apps in the digital world. She emphasizes on the need for mobile apps to adapt to users rather than users adapting to them. She also highlights how a generous use of machine input empowers mobile apps to serve users in a real-time setting. Using vivid examples, she takes the audience on an exciting journey where mobile apps sense users’ needs “automagically” and serve them without seeking tedious user input or slapping multiple screens/interfaces on them. The talk centers around applying self-learning, self-healing and self-awareness methods that give users what they need, exactly when they need it and stay relevant at all times.
Key takeaways include learning about machine input, different types of machine input like camera, contextual input, smart defaults, magnetometers and key principles that govern intuitive mobile apps. The audience will walk away with practical knowledge and experience of how machine input can be applied to mobile apps context along with learning key techniques that empower machines to transform users’ needs into great user experiences.
Let us allow mobile apps serve users and not the other way around!