Up beat chatbot
Timeline:
Overall: 4 month
Discovery & Research: 3 months
Design & testing: 1 months
Tools :
Google Form
FigJam
Figma
Miro
03
Up beat chatbot
Timeline:
Overall: 4 month
Discovery & Research: 3 months
Design & testing: 1 months
Tools :
Google Form
FigJam
Figma
Miro
03
Up beat chatbot
Timeline:
Overall: 4 month
Discovery & Research: 3 months
Design & testing: 1 months
Tools :
Google Form
FigJam
Figma
Miro
03
Physical disabilities often create barriers to leading an active and healthy lifestyle due to limited access to fitness facilities, a lack of inclusive programs, and the need for personalized workout plans. In this project, which is part of my graduation project for my MSC in Data-Driven Design, I aimed to address these challenges by leveraging AI chatbots to offer personalized fitness advice and support for people with physical disabilities.
Objectives:
Develop an AI chatbot that provides customized fitness recommendations to individuals with physical disabilities.
Promote regular physical activity and a healthy lifestyle among users.
Enhance motivation and engagement by using inclusive language and support strategies.
Design Process
In the development of this chatbot, I embarked on a comprehensive design journey that began with the recognition of the challenges faced by individuals with physical disabilities in maintaining active and healthy lifestyles. As part of my MSC in Data-Driven Design, I initiated a three-round iterative design process, carefully collecting user feedback at each stage. This iterative approach allowed for continuous improvement, resulting in a user-centric AI solution that addresses the unique needs of its users. The project was driven by a commitment to inclusivity, personalization, and support for those seeking to lead healthier lives.
Understand the problem
In the first step, I wanted to investigate the problems that people with physical disabilities face when trying to be healthier and more active. I aim to figure out what makes it hard for them, like what stops them from getting to the gym and staying motivated. This helped me think about possible solutions, including how chatbots can help.
Understand user needs
Understand the problem
Organize insigths
Brainstorm
Feature priority
Test
Iterate
Why chatbots?
Define the Scope
Prototype
Organize User Feedback
Organize ideas
Understand user needs
Understand the problem
Organize insigths
Brainstorm
Feature priority
Test
Iterate
Why chatbots?
Define the Scope
Prototype
Organize User Feedback
Organize ideas
Survey
Before building the chatbot, I conducted a survey to gather information on the needs and challenges of people with physical disabilities related to fitness and to identify desired features for the chatbot. The survey was shared online in various communities for people with physical disabilities and received 26 responses.
The survey was conducted to gather information on :
Barriers faced in engaging in fitness and wellness activities
Their current engagement level
Preferred types of activities
The importance of personalized and inclusive experience
Interest in using technology like chatbots to support their goals
Desired features and functions in a chatbot
Survey findings and Insights
The survey results indicate that motivation and resource availability are the primary barriers to fitness and wellness activities. Participants engage in activities like strength training and yoga, with a desire for personalized, inclusive experiences and community support. They are comfortable using technology, including chatbots, and seek features like personalized plans and reminders while sharing various experiences.
being part of a community with other individuals
Most significant barriers
lack of motivation and knowledge or resources
personalized and inclusive fitness or wellness experiences
personalized workout plans
reminders or notifications
feedback and encouragement,
accessible resources
community support and motivation
progress tracking.
finding support through community and workout buddies
dealing with ignorance and false assumptions
Interest
Desired features
shared experiences
being part of a community with other individuals
Most significant barriers
Interest
Desired features
shared experiences
lack of motivation and knowledge or resources
personalized and inclusive fitness or wellness experiences
personalized workout plans
reminders or notifications feedback and encouragement, accessible resources
community support and motivation progress tracking.
finding support through community and workout buddies
dealing with ignorance and false assumptions
User Interview
I conducted user interviews with two people with physical disabilities like knee and spinal cord injuries. We discussed their experiences and what they want in fitness and wellness. These conversations gave me insights into what motivates them, what gets in their way, and how technology, like AI chatbots, could help. Here is the result of what they shared:.
Interest in Fitness & Wellness
Fitness Goals
Specific Challenges
Barriers to Engagement
Expectations from Chatbots
Use of Digital Tools
Strong interest motivated by health benefits and a sense of community
Multifaceted goals including improving health, building strength, and community involvement
- High-impact exercises challenging for the user with a knee injury
- User with spinal cord injury focused on upper body exercises due to lower body paralysis
Physical conditions create barriers to full engagement
- Personalized workout plans
- Emotional support
- Facilitating connections with a community of individuals facing similar physical challenges
Neither user had used digital tools due to accessibility issues, but expressed interest
Defining the scope and purpose of the chatbot
Insights and key concepts crucial for designing an effective chatbot were gained through the interviews & survey. The data were analyzed to clearly define the scope and purpose of the chatbot, taking into consideration the specific needs and preferences of individuals with physical disabilities.
Physical disabilities often create barriers to leading an active and healthy lifestyle due to limited access to fitness facilities, a lack of inclusive programs, and the need for personalized workout plans. In this project, which is part of my graduation project for my MSC in Data-Driven Design, I aimed to address these challenges by leveraging AI chatbots to offer personalized fitness advice and support for people with physical disabilities.
Objectives:
Develop an AI chatbot that provides customized fitness recommendations to individuals with physical disabilities.
Promote regular physical activity and a healthy lifestyle among users.
Enhance motivation and engagement by using inclusive language and support strategies.
Design Process
In the development of this chatbot, I embarked on a comprehensive design journey that began with the recognition of the challenges faced by individuals with physical disabilities in maintaining active and healthy lifestyles. As part of my MSC in Data-Driven Design, I initiated a three-round iterative design process, carefully collecting user feedback at each stage. This iterative approach allowed for continuous improvement, resulting in a user-centric AI solution that addresses the unique needs of its users. The project was driven by a commitment to inclusivity, personalization, and support for those seeking to lead healthier lives.
Understand the problem
In the first step, I wanted to investigate the problems that people with physical disabilities face when trying to be healthier and more active. I aim to figure out what makes it hard for them, like what stops them from getting to the gym and staying motivated. This helped me think about possible solutions, including how chatbots can help.
Survey
Before building the chatbot, I conducted a survey to gather information on the needs and challenges of people with physical disabilities related to fitness and to identify desired features for the chatbot. The survey was shared online in various communities for people with physical disabilities and received 26 responses.
The survey was conducted to gather information on :
Barriers faced in engaging in fitness and wellness activities
Their current engagement level
Preferred types of activities
The importance of personalized and inclusive experience
Interest in using technology like chatbots to support their goals
Desired features and functions in a chatbot
Survey findings and Insights
The survey results indicate that motivation and resource availability are the primary barriers to fitness and wellness activities. Participants engage in activities like strength training and yoga, with a desire for personalized, inclusive experiences and community support. They are comfortable using technology, including chatbots, and seek features like personalized plans and reminders while sharing various experiences.
User Interview
I conducted user interviews with two people with physical disabilities like knee and spinal cord injuries. We discussed their experiences and what they want in fitness and wellness. These conversations gave me insights into what motivates them, what gets in their way, and how technology, like AI chatbots, could help. Here is the result of what they shared:.
Interest in Fitness & Wellness
Fitness Goals
Specific Challenges
Barriers to Engagement
Expectations from Chatbots
Use of Digital Tools
Strong interest motivated by health benefits and a sense of community
Multifaceted goals including improving health, building strength, and community involvement
- High-impact exercises challenging for the user with a knee injury
- User with spinal cord injury focused on upper body exercises due to lower body paralysis
Physical conditions create barriers to full engagement
- Personalized workout plans
- Emotional support
- Facilitating connections with a community of individuals facing similar physical challenges
Neither user had used digital tools due to accessibility issues, but expressed interest
Conversation Flow
Prototyping
Iteration 1
In the first chatbot iteration, it starts with a welcome message and gathers information about the user's physical health, including weight, height, and any disabilities. It then asks about exercise preferences, goals, and generates a customized workout and nutrition plan. Users can also connect with a fitness community. This iteration focuses on gathering user health and fitness data to create a personalized workout plan aligned with their goals.
Wireframes
High Importance & Feasibility
Personalized Workout Plans
Reminders and Notifications
Feedback and Encouragement
Progress Tracking
Community Support
Calendar Integration
Connection to Real Instructors
Moderate Importance & Feasibility
Q&A and Information
Accessibility Resources
Chatbot Adjustments
Goal Adjustments
Weekly Challenges
Video Tutorials
Integration with Popular Fitness Apps
Low Importance & Feasibility
Nutrition Tracking
Integration with Wearables
Language Customization
Specialized Equipment Recommendations
Web Accessibility
Exercise Alternatives
Goal Achievement Badges
High Importance & Feasibility
Moderate Importance & Feasibility
Low Importance & Feasibility
Personalized Workout Plans
Q&A and Information
Nutrition Tracking
Reminders and Notifications
Accessibility Resources
Integration with Wearables
Feedback and Encouragement
Chatbot Adjustments
Language Customization
Progress Tracking
Goal Adjustments
Specialized Equipment Recommendations
Community Support
Weekly Challenges
Web Accessibility
Calendar Integration
Video Tutorials
Exercise Alternatives
Connection to Real Instructors
Integration with Popular Fitness Apps
Goal Achievement Badges
Features
I categorized these features during brainstorming, with a focus on user-centric design. I organized them by importance and feasibility, balancing user needs. This approach ensures the chatbot's functionalities align with user priorities and resources, creating an effective and balanced design.
Physical disabilities often create barriers to leading an active and healthy lifestyle due to limited access to fitness facilities, a lack of inclusive programs, and the need for personalized workout plans. In this project, which is part of my graduation project for my MSC in Data-Driven Design, I aimed to address these challenges by leveraging AI chatbots to offer personalized fitness advice and support for people with physical disabilities.
Objectives:
Develop an AI chatbot that provides customized fitness recommendations to individuals with physical disabilities.
Promote regular physical activity and a healthy lifestyle among users.
Enhance motivation and engagement by using inclusive language and support strategies.
Design Process
In the development of this chatbot, I embarked on a comprehensive design journey that began with the recognition of the challenges faced by individuals with physical disabilities in maintaining active and healthy lifestyles. As part of my MSC in Data-Driven Design, I initiated a three-round iterative design process, carefully collecting user feedback at each stage. This iterative approach allowed for continuous improvement, resulting in a user-centric AI solution that addresses the unique needs of its users. The project was driven by a commitment to inclusivity, personalization, and support for those seeking to lead healthier lives.
Understand user needs
Understand the problem
Organize insigths
Brainstorm
Feature priority
Test
Iterate
Why chatbots?
Define the Scope
Prototype
Organize User Feedback
Organize ideas
Survey
Before building the chatbot, I conducted a survey to gather information on the needs and challenges of people with physical disabilities related to fitness and to identify desired features for the chatbot. The survey was shared online in various communities for people with physical disabilities and received 26 responses.
The survey was conducted to gather information on :
Barriers faced in engaging in fitness and wellness activities
Their current engagement level
Preferred types of activities
The importance of personalized and inclusive experience
Interest in using technology like chatbots to support their goals
Desired features and functions in a chatbot
Survey findings and Insights
The survey results indicate that motivation and resource availability are the primary barriers to fitness and wellness activities. Participants engage in activities like strength training and yoga, with a desire for personalized, inclusive experiences and community support. They are comfortable using technology, including chatbots, and seek features like personalized plans and reminders while sharing various experiences.
being part of a community with other individuals
Most significant barriers
Interest
Desired features
shared experiences
lack of motivation and knowledge or resources
personalized and inclusive fitness or wellness experiences
personalized workout plans
reminders or notifications
feedback and encouragement,
accessible resources
community support and motivation
progress tracking.
finding support through community and workout buddies
dealing with ignorance and false assumptions
User Interview
I conducted user interviews with two people with physical disabilities like knee and spinal cord injuries. We discussed their experiences and what they want in fitness and wellness. These conversations gave me insights into what motivates them, what gets in their way, and how technology, like AI chatbots, could help. Here is the result of what they shared:.
Interest in Fitness & Wellness
Specific Challenges
Barriers to Engagement
Expectations from Chatbots
Fitness Goals
Use of Digital Tools
Strong interest motivated by health benefits and a sense of community
Multifaceted goals including improving health, building strength, and community involvement
- High-impact exercises challenging for the user with a knee injury
- User with spinal cord injury focused on upper body exercises due to lower body paralysis
Physical conditions create barriers to full engagement
- Personalized workout plans
- Emotional support
- Facilitating connections with a community of individuals facing similar physical challenges
Neither user had used digital tools due to accessibility issues, but expressed interest
Defining the scope and purpose of the chatbot
Insights and key concepts crucial for designing an effective chatbot were gained through the interviews & survey. The data were analyzed to clearly define the scope and purpose of the chatbot, taking into consideration the specific needs and preferences of individuals with physical disabilities.
Features
I categorized these features during brainstorming, with a focus on user-centric design. I organized them by importance and feasibility, balancing user needs. This approach ensures the chatbot's functionalities align with user priorities and resources, creating an effective and balanced design.
High Importance & Feasibility
Moderate Importance & Feasibility
Low Importance & Feasibility
Personalized Workout Plans
Q&A and Information
Nutrition Tracking
Reminders and Notifications
Accessibility Resources
Integration with Wearables
Feedback and Encouragement
Chatbot Adjustments
Language Customization
Progress Tracking
Goal Adjustments
Specialized Equipment Recommendations
Community Support
Weekly Challenges
Web Accessibility
Calendar Integration
Video Tutorials
Exercise Alternatives
Connection to Real Instructors
Integration with Popular Fitness Apps
Goal Achievement Badges
Conversation Flow
Prototyping
Iteration 1
In the first chatbot iteration, it starts with a welcome message and gathers information about the user's physical health, including weight, height, and any disabilities. It then asks about exercise preferences, goals, and generates a customized workout and nutrition plan. Users can also connect with a fitness community. This iteration focuses on gathering user health and fitness data to create a personalized workout plan aligned with their goals.
Understand the problem
In the first step, I wanted to investigate the problems that people with physical disabilities face when trying to be healthier and more active. I aim to figure out what makes it hard for them, like what stops them from getting to the gym and staying motivated. This helped me think about possible solutions, including how chatbots can help.
User testing
In the initial round of user testing, I conducted tests with two individuals who have physical disabilities and mobility impairments. Based on the insights obtained from this initial iteration, I identified several areas for improvement in the chatbot.
The chatbot's prompts and questions were straightforward, with no major issues or areas needing clarification.
The chatbot understood the user's needs and preferences and provided personalized fitness advice.
The user was generally comfortable with the tone and language of the chatbot's responses, though there were minor punctuation issues.
Ask a multiple-choice question at the start point to see what kind of things motivates the user.
The user had data privacy concerns about the storage and access to their health data.
The user had difficulty keeping up with multiple messages coming in at once and suggested either slowing down the rate of messages or leaving them on the screen for longer.
User 1#
The chatbot is easy to understand and navigate, which makes it user-friendly.
Adding more personalized features can make the chatbot more effective in helping users achieve their fitness goals.
Asking about disabilities can help the chatbot recommend exercises suitable for the user's limitations.
Motivation and positive feedback can encourage users to stick to their fitness routines.
Avoiding using the user's name in every response can make the conversation more natural.
Congratulating users on their progress can help them feel accomplished and motivated to continue.
User #2
User #2
The chatbot's prompts and questions were straightforward, with no major issues or areas needing clarification.
The chatbot understood the user's needs and preferences and provided personalized fitness advice.
The user was generally comfortable with the tone and language of the chatbot's responses, though there were minor punctuation issues.
Ask a multiple-choice question at the start point to see what kind of things motivates the user.
The user had data privacy concerns about the storage and access to their health data.
The user had difficulty keeping up with multiple messages coming in at once and suggested either slowing down the rate of messages or leaving them on the screen for longer.
User #1
The chatbot is easy to understand and navigate, which makes it user-friendly.
Adding more personalized features can make the chatbot more effective in helping users achieve their fitness goals.
Asking about disabilities can help the chatbot recommend exercises suitable for the user's limitations.
Motivation and positive feedback can encourage users to stick to their fitness routines.
Avoiding using the user's name in every response can make the conversation more natural.
Congratulating users on their progress can help them feel accomplished and motivated to continue.
User #2
Defining the scope and purpose of the chatbot
Insights and key concepts crucial for designing an effective chatbot were gained through the interviews & survey. The data were analyzed to clearly define the scope and purpose of the chatbot, taking into consideration the specific needs and preferences of individuals with physical disabilities.
Features
I categorized these features during brainstorming, with a focus on user-centric design. I organized them by importance and feasibility, balancing user needs. This approach ensures the chatbot's functionalities align with user priorities and resources, creating an effective and balanced design.
Prototyping
Iteration 1
In the first chatbot iteration, it starts with a welcome message and gathers information about the user's physical health, including weight, height, and any disabilities. It then asks about exercise preferences, goals, and generates a customized workout and nutrition plan. Users can also connect with a fitness community. This iteration focuses on gathering user health and fitness data to create a personalized workout plan aligned with their goals.
User testing
In the initial round of user testing, I conducted tests with two individuals who have physical disabilities and mobility impairments. Based on the insights obtained from this initial iteration, I identified several areas for improvement in the chatbot.
User 1#
The chatbot's prompts and questions were straightforward, with no major issues or areas needing clarification.
The chatbot understood the user's needs and preferences and provided personalized fitness advice.
The user was generally comfortable with the tone and language of the chatbot's responses, though there were minor punctuation issues.
Ask a multiple-choice question at the start point to see what kind of things motivates the user.
The user had data privacy concerns about the storage and access to their health data.
The user had difficulty keeping up with multiple messages coming in at once and suggested either slowing down the rate of messages or leaving them on the screen for longer.
User #2
The chatbot is easy to understand and navigate, which makes it user-friendly.
Adding more personalized features can make the chatbot more effective in helping users achieve their fitness goals.
Asking about disabilities can help the chatbot recommend exercises suitable for the user's limitations.
Motivation and positive feedback can encourage users to stick to their fitness routines.
Avoiding using the user's name in every response can make the conversation more natural.
Congratulating users on their progress can help them feel accomplished and motivated to continue.
User testing
In the initial round of user testing, I conducted tests with two individuals who have physical disabilities and mobility impairments. Based on the insights obtained from this initial iteration, I identified several areas for improvement in the chatbot.
Conversation Flow
Wireframes
Wireframes
Iteration 2
In the second iteration of the chatbot design, the following features were added:
Initial questions to understand the user's motivation.
Addressing privacy concerns with user health data and providing a disclaimer.
Sub-questions about the user's disabilities for personalized exercise suggestions.
Including motivational sources like podcasts to encourage adherence to fitness routines.
Recommending popular workout plans for users with similar disabilities.
Reducing the use of the user's name for a less robotic tone
Iteration 2
In the second iteration of the chatbot design, the following features were added:
Initial questions to understand the user's motivation.
Addressing privacy concerns with user health data and providing a disclaimer.
Sub-questions about the user's disabilities for personalized exercise suggestions.
Including motivational sources like podcasts to encourage adherence to fitness routines.
Recommending popular workout plans for users with similar disabilities.
Reducing the use of the user's name for a less robotic tone
Conversation Flow
Conversation Flow
Iteration 2
In the second iteration of the chatbot design, the following features were added:
Initial questions to understand the user's motivation.
Addressing privacy concerns with user health data and providing a disclaimer.
Sub-questions about the user's disabilities for personalized exercise suggestions.
Including motivational sources like podcasts to encourage adherence to fitness routines.
Recommending popular workout plans for users with similar disabilities.
Reducing the use of the user's name for a less robotic tone
Conversation Flow
Wireframes
In the second iteration of the chatbot, I modified the conversations and added more screens, including Home, Community, Coach Finder, and Progress. This allows the user's interactions with the chatbot to seamlessly integrate into other sections of the app, such as the home feed.
Wireframes
In the second iteration of the chatbot, I modified the conversations and added more screens, including Home, Community, Coach Finder, and Progress. This allows the user's interactions with the chatbot to seamlessly integrate into other sections of the app, such as the home feed.
Wireframes
In the second iteration of the chatbot, I modified the conversations and added more screens, including Home, Community, Coach Finder, and Progress. This allows the user's interactions with the chatbot to seamlessly integrate into other sections of the app, such as the home feed.
User testing
In the second round of user testing, I conducted tests with two individuals including one stakeholder ( fitness trainer ) to gain more insights about the user needs and what to consider when asking the questions , both users found the general interface of the chatbot appealing and user friendly.
User testing
In the second round of user testing, I conducted tests with two individuals including one stakeholder ( fitness trainer ) to gain more insights about the user needs and what to consider when asking the questions , both users found the general interface of the chatbot appealing and user friendly.
User 1#
Sometimes answers provided were not answering the questions asked
The user would have preferred an "I don't know" option in some cases.
Chatbot's prompts and questions are easy to understand, and the tone of language is comfortable. The user also appreciated the feature that gave them a workout plan and found the chatbot's recommendations personalized and inclusive.
It is better to mark which answers are multiple choice and make it clear
Though it is a prototype, it is good that it provides realistic plans
Nice to include some workout tutorial videos for some exercises
User #2
Ask about any past attempts to reach fitness goals and reasons for quitting.
The user suggested that the chatbot should consider the facilities people have access to and provide more guidance beyond just a list of exercises, whether they want to work at home or the gym
Incorporate strategies to keep users engaged with the chatbot
Identify the factors that drive motivation for exercise and any potential blockers
Sometimes answers provided were not answering the questions asked
The user would have preferred an "I don't know" option in some cases.
Chatbot's prompts and questions are easy to understand, and the tone of language is comfortable. The user also appreciated the feature that gave them a workout plan and found the chatbot's recommendations personalized and inclusive.
It is better to mark which answers are multiple choice and make it clear
Though it is a prototype, it is good that it provides realistic plans
Nice to include some workout tutorial videos for some exercises
User 1#
Ask about any past attempts to reach fitness goals and reasons for quitting.
The user suggested that the chatbot should consider the facilities people have access to and provide more guidance beyond just a list of exercises, whether they want to work at home or the gym
Incorporate strategies to keep users engaged with the chatbot
Identify the factors that drive motivation for exercise and any potential blockers
User #2
User #2
The chatbot's prompts and questions were straightforward, with no major issues or areas needing clarification.
The chatbot understood the user's needs and preferences and provided personalized fitness advice.
The user was generally comfortable with the tone and language of the chatbot's responses, though there were minor punctuation issues.
Ask a multiple-choice question at the start point to see what kind of things motivates the user.
The user had data privacy concerns about the storage and access to their health data.
The user had difficulty keeping up with multiple messages coming in at once and suggested either slowing down the rate of messages or leaving them on the screen for longer.
User #1
The chatbot is easy to understand and navigate, which makes it user-friendly.
Adding more personalized features can make the chatbot more effective in helping users achieve their fitness goals.
Asking about disabilities can help the chatbot recommend exercises suitable for the user's limitations.
Motivation and positive feedback can encourage users to stick to their fitness routines.
Avoiding using the user's name in every response can make the conversation more natural.
Congratulating users on their progress can help them feel accomplished and motivated to continue.
User #2
User testing
In the second round of user testing, I conducted tests with two individuals including one stakeholder ( fitness trainer ) to gain more insights about the user needs and what to consider when asking the questions , both users found the general interface of the chatbot appealing and user friendly.
Sometimes answers provided were not answering the questions asked
The user would have preferred an "I don't know" option in some cases.
Chatbot's prompts and questions are easy to understand, and the tone of language is comfortable. The user also appreciated the feature that gave them a workout plan and found the chatbot's recommendations personalized and inclusive.
It is better to mark which answers are multiple choice and make it clear
Though it is a prototype, it is good that it provides realistic plans
Nice to include some workout tutorial videos for some exercises
User #1
Ask about any past attempts to reach fitness goals and reasons for quitting.
The user suggested that the chatbot should consider the facilities people have access to and provide more guidance beyond just a list of exercises, whether they want to work at home or the gym.
Incorporate strategies to keep users engaged with the chatbot
Identify the factors that drive motivation for exercise and any potential blockers
User #2
User registration includes a series of screens that introduce users to Upbeat, guiding them to log in or sign up while also providing a disclaimer about the app's role, emphasizing that it should not replace a doctor or physical therapist but is designed to assist users in staying motivated.
Style guide
Style guide
Iteration 3
In the third iteration of the chatbot, I implemented the latest user feedback and completed the design of the other screens. Additionally, I aimed to make the conversation more interactive by incorporating high-fidelity elements and features.
Style guide
Iteration 3
In the third iteration of the chatbot, I implemented the latest user feedback and completed the design of the other screens. Additionally, I aimed to make the conversation more interactive by incorporating high-fidelity elements and features.
User registration
Iteration 3
In the third iteration of the chatbot, I implemented the latest user feedback and completed the design of the other screens. Additionally, I aimed to make the conversation more interactive by incorporating high-fidelity elements and features.
User registration includes a series of screens that introduce users to Upbeat, guiding them to log in or sign up while also providing a disclaimer about the app's role, emphasizing that it should not replace a doctor or physical therapist but is designed to assist users in staying motivated.
User registration
User registration includes a series of screens that introduce users to Upbeat, guiding them to log in or sign up while also providing a disclaimer about the app's role, emphasizing that it should not replace a doctor or physical therapist but is designed to assist users in staying motivated.
User registration
The chatbot conversation is designed to engage users by actively asking questions, responding to their input, and creating an interactive dialogue. It aims to make the user experience dynamic and personalized, ensuring that users feel actively involved in the conversation while receiving relevant information and guidance.
Chatbot conversation
( Selected screens )
The chatbot conversation is designed to engage users by actively asking questions, responding to their input, and creating an interactive dialogue. It aims to make the user experience dynamic and personalized, ensuring that users feel actively involved in the conversation while receiving relevant information and guidance.
Chatbot conversation
( Selected screens )
Chatbot conversation
( Selected screens )
The chatbot conversation is designed to engage users by actively asking questions, responding to their input, and creating an interactive dialogue. It aims to make the user experience dynamic and personalized, ensuring that users feel actively involved in the conversation while receiving relevant information and guidance.
Chatbot conversation
( Selected screens )
The chatbot conversation is designed to engage users by actively asking questions, responding to their input, and creating an interactive dialogue. It aims to make the user experience dynamic and personalized, ensuring that users feel actively involved in the conversation while receiving relevant information and guidance.
For the Home screens, users can access their daily exercises, log any symptoms, search for or read news and articles that may help them. They can then switch to the Progress tab to track their workout progress, view completed or pending exercises. In the Community section, users can create posts or join a community of individuals who share similar goals. In the "Me" section, users can update their personal information.
Other Screens
Other Screens
For the Home screens, users can access their daily exercises, log any symptoms, search for or read news and articles that may help them. They can then switch to the Progress tab to track their workout progress, view completed or pending exercises. In the Community section, users can create posts or join a community of individuals who share similar goals. In the "Me" section, users can update their personal information.
The development of the chatbot for individuals with physical disabilities has been a journey of discovery, innovation, and user-centered design. Throughout the project, I gained valuable insights and identified areas where the chatbot excels and where it can further evolve.
Learnings:
User-Centric Approach: Prioritizing user feedback and conducting user interviews led to a more user-centric and effective chatbot design.
Inclusivity: Tailoring the chatbot to the unique needs of individuals with physical disabilities was crucial for its success.
Iterative Development: The iterative design process allowed for continuous improvement based on user insights and feedback.
Importance of Privacy: Emphasizing the handling of sensitive health data and privacy concerns is essential in healthcare-related chatbots.
Motivational Factors: Understanding what motivates users with disabilities is key to keeping them engaged and committed to their fitness goals.
Areas for Improvement:
Personalization: Enhancing the chatbot's ability to provide even more personalized recommendations based on individual health conditions and preferences.
Integration: Exploring opportunities to integrate the chatbot with wearable devices or health apps to enhance tracking and monitoring.
Enhanced User Engagement: Implementing more gamification elements and interactive features to boost user engagement.
The development of the chatbot for individuals with physical disabilities has been a journey of discovery, innovation, and user-centered design. Throughout the project, I gained valuable insights and identified areas where the chatbot excels and where it can further evolve.
Learnings:
User-Centric Approach: Prioritizing user feedback and conducting user interviews led to a more user-centric and effective chatbot design.
Inclusivity: Tailoring the chatbot to the unique needs of individuals with physical disabilities was crucial for its success.
Iterative Development: The iterative design process allowed for continuous improvement based on user insights and feedback.
Importance of Privacy: Emphasizing the handling of sensitive health data and privacy concerns is essential in healthcare-related chatbots.
Motivational Factors: Understanding what motivates users with disabilities is key to keeping them engaged and committed to their fitness goals.
Areas for Improvement:
Personalization: Enhancing the chatbot's ability to provide even more personalized recommendations based on individual health conditions and preferences.
Accessibility: Ensuring the chatbot is fully accessible to users with various disabilities, including those who may rely on assistive technologies.
Integration: Exploring opportunities to integrate the chatbot with wearable devices or health apps to enhance tracking and monitoring.
Enhanced User Engagement: Implementing more gamification elements and interactive features to boost user engagement.
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Get in touch !
niloofar.gofstudio@gmail.com
Read more of my case studies
Virtuagym’s Payroll Platform
Virtuagym’s BA Dashboard
Read more of my case studies
Virtuagym’s Payroll Platform
Virtuagym’s BA Dashboard
For the Home screens, users can access their daily exercises, log any symptoms, search for or read news and articles that may help them. They can then switch to the Progress tab to track their workout progress, view completed or pending exercises. In the Community section, users can create posts or join a community of individuals who share similar goals. In the "Me" section, users can update their personal information.
Other Screens
The development of the chatbot for individuals with physical disabilities has been a journey of discovery, innovation, and user-centered design. Throughout the project, I gained valuable insights and identified areas where the chatbot excels and where it can further evolve.
Learnings:
User-Centric Approach: Prioritizing user feedback and conducting user interviews led to a more user-centric and effective chatbot design.
Inclusivity: Tailoring the chatbot to the unique needs of individuals with physical disabilities was crucial for its success.
Iterative Development: The iterative design process allowed for continuous improvement based on user insights and feedback.
Importance of Privacy: Emphasizing the handling of sensitive health data and privacy concerns is essential in healthcare-related chatbots.
Motivational Factors: Understanding what motivates users with disabilities is key to keeping them engaged and committed to their fitness goals.
Areas for Improvement:
Personalization: Enhancing the chatbot's ability to provide even more personalized recommendations based on individual health conditions and preferences.
Accessibility: Ensuring the chatbot is fully accessible to users with various disabilities, including those who may rely on assistive technologies.
Integration: Exploring opportunities to integrate the chatbot with wearable devices or health apps to enhance tracking and monitoring.
Enhanced User Engagement: Implementing more gamification elements and interactive features to boost user engagement.