Team 15: Percy Long, Yaqi (Angie) Liang, Hrithik Sanyal, Rhea Acharya
SI 612 Fall 2023
A wearable device that monitors and manages social anxiety in situations where typical interventions aren’t feasible
Calmi Ring incorporates three key sensors: a heart rate monitor, a skin condition sensor, and an algorithm to analyze biometric signals. The device features a haptic feedback mechanism that delivers consistent reminders to engage in calming activities. The Calmi Ring system provides users with real-time insights into their emotional well-being and proactive support for managing anxiety in their daily lives.
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Looking back at the creation of the Smart Anxiety Management Ring and the accompanying mobile app, the main drawback is that the prototype was only medium-fidelity. Due to limitations in terms of time, technological accessibility, and the requirement for preliminary testing, fully functional functionalities were not able to be implemented, therefore simulated interactions through Wizard of Oz were utilized instead. The depth of user feedback and the capacity to thoroughly verify the efficacy of stress-detection techniques may be impacted by this constraint. The physical prototype and simulated app interface will be iteratively improved in the next stages in response to user testing and feedback sessions.
Additionally, exploring advanced stress-detection methods and refining the system's architecture to address any identified limitations will be crucial in realizing a comprehensive and user-friendly Smart Anxiety Management Ring. The development process has provided valuable insights into the challenges of balancing functionality with feasibility and user experience, emphasizing the importance of continuous refinement to meet user expectations and address emerging issues.
Our team identified chances for ubiquitous computing during the first milestone and created about 80 potential concepts for pervasive interface design. The focus of pervasive interaction design is on creating engaging technology for emerging mobile and context-aware technologies and how to integrate it into users' regular activities. Each team member came up with 20 suggestions, we discussed them, and then we chose 2 or 3 concepts as our best options. After two voting rounds, we settled on three target user groups: people who experience anxiety in public settings, people who presently own cars at their houses, and those who currently own and manage their medication at home. Identifying our target user groups and issue statements was M1's primary objective. Additionally, we go over the project's next move.
<aside> 💡 The dot voting method in Figjam to narrow opportunities down into 3 environments and target users for the application of our ideas.
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Concept 1: Managing anxiety in public spaces
Concept 2: Turn the ignition of their cars remotely
Concept 3: Managing medications at home
<aside> 💡 We utilized contextual inquiry for these 3 concepts and gained some insights for our product scope.
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