DESIGN NAME: Recyclist
PRIMARY FUNCTION: Trash Sorting App
INSPIRATION: During my tenure as an international student in San Francisco, a striking observation set the foundation for this project: an evident lack of confidence in trash sorting among individuals with considerable recycling experience, including my roommates and several lecturers.
Problem Statement
The essence of this project stems from a widespread necessity for enhanced guidance in trash sorting practices. Both convenience-oriented and eco-conscious recyclers face significant challenges in this domain, pointing towards a critical gap in existing systems.
UNIQUE PROPERTIES / PROJECT DESCRIPTION: This innovative trash sorting application transcends the conventional constraints of locality-specific policies by integrating advanced camera and data analysis technologies. Uniquely, it incorporates an in-app map for directing users to drop-off locations for bulky or hazardous waste. Distinguishing itself further, the app offers personalized search, save, and share functionalities for trash sorting guidelines, meticulously tailored to the regulations of local waste management entities.
OPERATION / FLOW / INTERACTION: The app Recyclist simplifies the waste disposal process, whether for recycling, composting, or landfill. Users can take a photo of any item, and the app instantly identifies it and advises the correct disposal method according to the local regulations. It's an essential tool for those new to the U.S. or relocating within the country, where waste management rules can vary significantly. This intuitive guide helps reduce waste contamination and ensures that users can participate in local sustainability efforts effectively, right from their pockets.
PROJECT DURATION AND LOCATION: The project started in September 2020 and revised in August 2023 in San Francisco, US.
FITS BEST INTO CATEGORY: Interface, Interaction and User Experience Design
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PRODUCTION / REALIZATION TECHNOLOGY: Recyclist is designed to integrate cutting-edge photographic recognition and geolocation technologies, envisioned to be developed with a focus on high usability and environmental impact. The design process employs agile UX methodologies, leveraging tools like Figma for wireframing and prototyping, grounded in user-centric design principles. Although not yet developed, the app is planned to utilize AI and machine learning for image recognition, with a robust database for localized recycling information. The development strategy is geared towards scalability and cross-platform functionality, ensuring a wide reach and user accessibility.
SPECIFICATIONS / TECHNICAL PROPERTIES: Designed specifically for iOS, Recyclist's technical specifications are tailored to align with Apple's operating systems. The application requires efficient camera access for high-quality photo capture, backed by a powerful local and cloud-based database infrastructure, as well as sophisticated image recognition algorithms. These technical details ensure the app provides a quick and accurate classification service, offering users a seamless and efficient experience.
TAGS: Sustainability, UX
RESEARCH ABSTRACT: 1. Research Background
The U.S. faces recycling challenges amid varied regulations and a shift towards sustainability. Efforts focus on reducing waste and adopting circular economy principles.
2. Research Objectives
Understanding recycling behaviors and identifying user pain points to improve sorting efficacy and knowledge.
3. Methodology
Utilized desktop research, interviews, and surveys with participants aged 20 to 53, encompassing both convenience and eco-conscious recyclers in San Francisco.
4. Data Collection
Insights were gathered from interviews and survey with individuals across colleges, government, apartments, and nonprofits, focusing on recycling practices and obstacles.
5. Participants
Responses from 12 interviewees and 50 survey takers were analyzed, distinguishing between convenience recyclers and eco-conscious recyclers.
6. Results
Key issues include incorrect recycling rate is 23% and e-waste recycling rates was as low as 15% in 2019 in the US. Highlighted risks involve waste management inefficiencies, equipment management, environmental contamination, and health hazards.
7. Insights
A widespread lack of regulation understanding and information accessibility on special item disposal.
8. Real-Life Effects
The data underscore the need for enhanced recycling education and systems. The insights fuel Recyclist app development, aiming to offer localized sorting guidance and support sustainability by directly addressing identified user challenges.
CHALLENGE: The paramount challenge in designing the "Recyclist" app was to ensure an intuitive and efficient user experience, which was vital due to the absence of effective monitoring strategies that could otherwise result in user disengagement. The app had to simplify the complex task of sorting waste, adhering to diverse regional rules, into a process seamless enough to foster consistent usage, particularly for convenience recyclers. Addressing this, I set definitive design goals: a Task Success Rate greater than 78% and a Usability score surpassing the SUS average of 68.
Four rounds of iterative design, underpinned by user testing reflective of real-life scenarios, were crucial to refining the user interface, guaranteeing its inherent comprehensibility and appeal. The culminating tests showed the app achieving a Task Success Rate of 100% and a SUS score of 89, well above our ambitious targets.
The figures did not solely represent this triumph; they signified the removal of cognitive, energetic, and temporal burdens from the user. The iterative design approach, rooted in continuous user feedback, was pivotal in crafting an effortlessly navigable app that promotes sustainable habits autonomously. This commitment to the user's journey and the relentless pursuit of simplicity truly encapsulated the essence of "Recyclist';s" success.
Regarding future development, a significant hurdle for "Recyclist" would be ensuring the app's disposal recommendations stay current amidst the fluid mosaic of recycling regulations in various cities. To bridge the gap between user behavior and local recycling laws, a dynamic database coupled with a precise image recognition system is imperative. Constructing a flexible backend, capable of regular updates without degrading the user experience, will be key to the app's practicality and longevity.
ADDED DATE: 2024-02-28 23:27:40
TEAM MEMBERS (1) : Xiaofang Su
IMAGE CREDITS: Xiaofang Su, 2023.
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