The user Experience design for identify was done with certain criteria’s put into consideration. Considering the simple functionality and tasking need to have users aid in the training of the object identification AI model, we needed a way to keep the design interesting and also have it give a sense of dedication to our users. We decided on modelling our approach from a Gamification perspective, through gamification we incorporated of elements and mechanics into user interfaces to enhance user engagement, motivation, and overall experience. leveraging the principles of game design to make the interaction with Identify more enjoyable and immersive. This approach led to our generous use of colours, reward elements and bold interaction design.

Key Features & Implications

Our core features cut in from certain considerations such as devices (mobile and AR), Accessibility concerns and future project roadmaps. To solve certain concerns some features were mainly made available on mobile to address mobility concerns for the elderly such as the panorama feature as this wouldn’t really be a major point of concern while wearing AR sets

• PANORAMA FEATURE: The panorama and camera functionality was developed with the primary goal of improving accessibility. Rather than solely serving as a live platform for individuals with old age or disabilities who have to physically move around and scan objects one by one using a phone, this feature allows them to quickly capture a brief panorama. By saving the panorama scan, they can conveniently identify objects in a more efficient manner.
• COMMUNITY FEATURE: The community aspect is designed to encourage individuals to participate in identification model trainings such as providing voice overs, reviewing object informatics and scanning unidentified objects. By actively feeding and supporting the AI, community members play a crucial role in facilitating its growth and development while getting endorphin/dopamine activities and rewards by engaging in gamification packs, such as points, badges, leaderboards, progress bars, and rewards, identify creates a sense of achievement, competition, and progression for users. This approach taps into human psychology, encouraging users to actively participate, explore, and invest time in the product.
• CAMERA CAPTURE FEATURE: The camera capture feature enables real-time object identification and tracking by utilizing the device's camera feed, allowing for interactive and contextual augmented experiences by a snap and scan approach.
• LIVE CAMERA FEATURE: The live camera feature enables real-time object recognition and interaction to our users by analyzing real-time video feed of the user's surroundings running on a network.

Accessibility & Constraints

• Visual Accessibility: "Identify" AR provides adjustable(dynamic) font sizes, high contrast options, and clear visual cues to ensure that users with visual impairments can easily identify objects in their surroundings.
• Auditory Accessibility: Identify incorporate audio cues or descriptions to assist users who are blind or have low vision in navigating and identifying objects within the app. This include spoken descriptions or audio feedback when an object is recognized.
• Interaction Accessibility: Identify offer multiple interaction methods, accommodating users with varying motor abilities. This include gesture-based interactions, voice commands, alternative input options such as touch or switch controls.
• Language Accessibility: Consideration was given to localization and providing multilingual support in the "Identify" AR project. This ensures that users from different language backgrounds can benefit from the object identification features.
• Cognitive Accessibility: Identify aim for a clear and straightforward user interface, avoiding complex or overwhelming visual elements. Providing clear instructions, intuitive navigation, and avoiding cognitive overload will support users with cognitive disabilities.

Constraints

• Hardware Constraints: The "Identify" AR project is designed to work on a range of devices both mobile and AR with varying processing power and camera capabilities, ensuring compatibility across different smartphones, tablets, or AR glasses. Some of the possible constraints to the smooth use of identify and AR in general include

a) Gesture/ motion sensor limitations: Devices that provide a better motion detection like with sensors or haptic gloves would give better experiences to users that lower end devices with less gesture functions also the positioning of these sensors would affect how users interact with them

b) Camera Limitations: The field of view of device cameras would have great impacts on number of objects that can be identified simultaneously coupled with camera pixel quality limitation and depth perception limitations.