Context Scenarios And Requirements Assignment Last Week ✓ Solved

Context Scenarios And Requirements Assignmentlast Week You Developed

Develop narrative paragraphs to create context scenarios for each of your personas (a total of 2) demonstrating how they will use your household management application. Refine your personas based on existing group/classmate personas before starting. Then, synthesize at least 20 requirements from your context scenarios, identifying objects, actions, and contexts for each requirement. Clearly label each requirement and attribute it to the specific part of the context scenario that inspired it. Requirements should include objects, actions, and contexts explicitly. Submit a Word document containing your requirements and include your completed context scenarios as an appendix.

Sample Paper For Above instruction

Introduction

Managing household activities efficiently requires tailored applications that address the diverse needs of homeowners. For this purpose, developing well-defined context scenarios and deriving detailed requirements from these scenarios is essential. This paper presents two comprehensive context scenarios for distinct user personas and extracts twenty specific requirements grounded in these narratives to guide the development of a household management application.

Context Scenario 1: Emily, the Busy Mom

Emily is a thirty-five-year-old mother of three who balances her career as a freelance graphic designer with managing her household. She relies heavily on her smartphone to keep track of daily chores, appointments, and household maintenance. One morning, Emily wakes up to realize that her refrigerator has been giving inconsistent temperature readings. Concerned about food safety, she quickly opens the application on her tablet to check the refrigerator’s current temperature status. She notices that the system has detected an anomaly and has sent her an alert. She then activates the refrigerator control feature to adjust the temperature remotely, ensuring her groceries stay fresh despite the issue. Afterward, Emily reviews the maintenance schedule and notices that the refrigerator filter needs replacement soon; she schedules a service appointment directly through the app.

The scenario highlights Emily’s need for real-time alerts, remote device control, scheduling, and maintenance tracking—all within her busy routine. She values quick access, clear notifications, and seamless integration with household appliances, reinforcing the importance of specific application features.

Context Scenario 2: James, the Retired Homeowner

James is a sixty-eight-year-old retired engineer who enjoys maintaining his home's comfort without the complexities often associated with modern technology. He uses the household management application primarily on his desktop computer during the day. One afternoon, James wants to ensure the lighting system is optimized for his evening reading. He logs into the app and navigates to the lighting control dashboard. He remotely dims the living room lights and adjusts the thermostat to a comfortable temperature for the evening. Later, James receives a notification about a scheduled security check-up, which he confirms through the app. He appreciates that the system provides clear instructions and allows him to easily set up the routine without hassle.

James’s scenario underscores the importance of user-friendly interface, remote operation, scheduling, and notification systems tailored for seniors who prefer straightforward functionalities and clear prompts.

Deriving Requirements from Context Scenarios

Based on Emily’s scenario, the application must include features such as real-time alert notifications, remote device control (e.g., refrigerator temperature adjustment), maintenance scheduling, and alert history logs. For James’s scenario, requirements include a user-friendly interface, remote control features for lighting and temperature, scheduling capabilities, and notification management. This analysis ensures the application caters to varied user needs by combining robust functionality with ease of use.

Object, Action, and Context Classification of Requirements

Each requirement is labeled with its object, such as the refrigerator or lighting system; the action, such as notify or adjust; and the context, such as detecting an anomaly or scheduling maintenance. For example, "Notify (action) users (object) when a household appliance reports an anomaly (context)." This classification promotes clear, structured development directives aligned with actual user experiences.

Sample Requirements List

1. Notify (action) homeowner (object) of appliance anomalies (context).

2. Adjust (action) refrigerator temperature (object) remotely during unavailability (context).

3. Schedule (action) appliance maintenance (object) ahead of time to prevent failure (context).

4. Receive (action) alerts (object) on mobile devices when household systems require attention (context).

5. View (action) device status (object) in real-time (context).

6. Authorize (action) remote control access (object) to household appliances during specific hours (context).

7. Log (action) all appliance activities (object) for future reference (context).

8. Calibrate (action) thermostat settings (object) automatically based on user preferences (context).

9. Set (action) reminders (object) for household chores or maintenance (context).

10. Enable (action) user-specific access control (object) for household monitoring (context).

11. Detect (action) abnormal temperature fluctuations (object) in appliances (context).

12. Provide (action) step-by-step troubleshooting guidance (object) for appliance issues (context).

13. Update (action) device firmware automatically (object) during low-usage periods (context).

14. Enable (action) voice commands (object) for controlling household devices (context).

15. Synchronize (action) data between multiple user devices (object) for household management routines (context).

16. Send (action) weekly summaries (object) of household activities and alerts (context).

17. Allow (action) manual override (object) in automated control routines (context).

18. Track (action) energy usage (object) for each appliance (context).

19. Authenticate (action) users (object) during sensitive control procedures (context).

20. Provide (action) detailed reports (object) for household maintenance (context).

Conclusion

Deriving detailed, user-centered requirements from well-constructed context scenarios ensures that a household management application effectively meets diverse user needs. Incorporating real-time notifications, remote controls, scheduling, and user-specific settings enhances usability and functionality. Future development can extend these requirements to encompass additional features like AI-driven automation, integration with smart home ecosystems, and predictive maintenance, further elevating the application's value in modern households.

References

1. Shin, H., & Lee, S. (2021). User-Centered Design for Smart Home Applications. Journal of Ubiquitous Computing, 12(4), 45-60.
2. Kim, J., & Park, Y. (2020). Enhancing User Experience in Household IoT Devices. International Journal of Human-Computer Interaction, 36(14), 1347-1358.
3. Lee, D., & Park, C. (2019). Requirements Engineering for Smart Home Systems. IEEE Transactions on Consumer Electronics, 65(3), 245-253.
4. Gena, G., et al. (2018). Challenges in Smart Appliance Integration. Journal of Smart Systems, 5(2), 89-102.
5. Chen, M., & Zhang, Y. (2022). Developing User-Friendly Interfaces for Senior Citizens. ACM Transactions on Accessible Computing, 15(1), 1-20.
6. Soukup, S., et al. (2020). Remote Monitoring and Control in Smart Homes. Sensors, 20(6), 1517.
7. Li, Q., & Wang, H. (2019). Security Considerations in IoT-Based Home Automation. Journal of Network Security, 7(3), 178-190.
8. Patel, S., & Kumar, R. (2021). Automating Household Maintenance: Opportunities and Challenges. Automation in Construction, 124, 103555.
9. Rodriguez, L., & Garcia, P. (2020). User Acceptance of Smart Home Technologies. Journal of Information Technology, 35(4), 312-322.
10. Xu, Y., & Liu, Z. (2022). AI-Driven Predictive Maintenance in Smart Homes. IEEE Access, 10, 8924-8935.