Final Project [Syna Khanna]

Project Description:

This survey is screen-based (digital). It is interactive as it involves recording and playing audio. To conduct this survey, the user would first read the directions. They can also play the audio players to listen to the directions as an alternative to reading. Then, they will go through each question (each question also has audio players incase the user wants to listen to the questions). For guidance and inspiration, the user can view the images and icons on the rightmost side which serve as examples of community activities. Each image/icon set has audio descriptions which the user can listen to, as well as alt-text. Lastly, the user may record their answer in the middle panel using the audio recorders. They can listen back to their answers.

Documentation:

Survey Link: https://khannasyna.wixsite.com/daca-blog/copy-of-survey-version-1

**When viewing the survey, minimize the window to 80% for the best experience. This way, you can view all elements of the survey as shown in the video demonstration above.**

Reflection Questions:

Which elements of the original did you keep, if any? Why?

The elements of the original survey which were kept were the types of components included (written questions, images, and icons). I kept these because I felt like the questions are a vital component of the survey to get to know the person, and images/icons allowed the person to gain an idea of what was being asked.

Which elements of the original survey did you change? How did you change them? Why?

The elements of the original survey which I changed were the language of the questions, as well as the visuals of the images and design of the icons. I changed the questions in order to make them easier to understand. I did this by using “plain language” (simpler words) so that a kid in elementary school could understand the meanings of the questions. Furthermore, I changed the images completely since I wanted them to represent community involvement better, and because I wanted the images to represent some of the places/activities mentioned in the questions. I used ChatGPT’s AI to generate images by giving it prompts. Lastly, I changed the icons to represent each of the new images. I created the icons with Figma.

Why did you choose this modality?

I added alt-text to my image/icon sets, as well as audio descriptions to the image/icon sets, directions, and questions. Lastly, I also added audio recorders so that the user could record their answers to each question. I chose to add alt-text as well as audio descriptions to my image/icon sets for those who may have visual impairments or just want clarity on what is shown in the visuals. I also chose to add audio descriptions to the directions and questions questions for those who may be dyslexic or have visual impairments, and therefore have a hard time reading. Lastly, I added audio recorders as it added a personalized feel to the overall survey, and matched the audio theme which is implemented throughout the survey. An additional benefit of recording the answers is that the user can listen back to their answers and decide to change anything by just deleting and rerecording their answer.

Post-evaluation Reflection:

I certainly feel like I got the information I wanted from the evaluation. I received feedback on what was nice about my survey, and what more could be added or changed. I feel that several elements of my redesigned survey work for me in eliciting information, such as the modified questions using plain language, the audio descriptions, and the improved images/icons which allow users to gain an understanding of the types of ways they can be involved within the community. I do not think that there are any certain elements which work against me in discovering information, but I do think that the fact that I am not using code or AI within my project is preventing me from adding follow-up questions. For example, asking the user follow-up questions within the survey itself would have been made possible with the implementation of AI, since AI could have used the user’s responses to generate and display a follow-up question in the survey on its own. As another example, implementing code could have allowed certain follow-up questions to appear in the survey after a question was answered. Based on feedback from Heartshare, I would implement either AI or code within my project in order to generate follow up questions for each question the user answers.