Clever Buddy

A robot designed to alleviate negative emotions and provide companionship

Role

Researcher
Programmer
Industrial Designer

Client

Academic Project

Timeline

5 Weeks
2021

Tools

Miro
Fusion 360
Procreate
‍Adobe Suite

Overview

Our companion robot is designed to provide emotional support and companionship to individuals facing mental health challenges. Leveraging advanced artificial intelligence and robotics technology, our robot offers personalized interactions tailored to the user's emotional needs and preferences. Whether it's providing a listening ear, offering words of encouragement, or engaging in interactive activities, our companion robot aims to alleviate feelings of loneliness, anxiety, and depression. With its user-friendly interface and intuitive design, users can easily interact with the robot to access a range of mental health resources, including guided relaxation exercises, mood tracking tools, and access to professional support services. Our product is not only a source of comfort and companionship but also serves as a valuable tool for promoting self-care, resilience, and emotional well-being.

My Role

Researcher, Industrial Designer & Programmer:

  • Secondary and user research.
  • Proposal ideation and sketching.
  • 3D modeling of the entire design.
  • Programming of the Bluetooth module and expression of emotions using an 8x8 LED matrix.
  • Integration of the physical prototype with circuits and sensors.

Team

Industrial Designers:

  • Alessandra Guzmán
  • Aarón Malanco

Design Process

Secondary Research
Stakeholders & User Research
Definition
Ideation & Prototyping
Final Design
Contextualizing mental health and the utilization of robotics.
Primary research and user needs.
Design requirement and expectations.
Physical prototype and programming
Final solution and functional prototypes.

Problem Statement

Depression and anxiety are prevalent concerns in the mental well-being of young individuals, as acknowledged by the World Health Organization (WHO). The ability to comprehend one's emotional state is essential for effectively addressing personal needs and desires, empowering individuals to develop strategies for navigating life's challenges with resilience and safety.

Users

Individuals struggling with mental health issues, particularly those who experience challenges during and after the pandemic due to COVID-19 social restrictions, are among the primary users of this product.

This includes individuals grappling with feelings of loneliness, anxiety, and depression exacerbated by prolonged isolation and disruption to regular routines.

Stakeholders

While this project was developed without a specific client, it holds potential interest for various stakeholders:

  • Mental health professionals
  • Medical Institutions
  • Technology companies
  • Public health entities

Scope & Constrainst

The Process

Secondary Research

Ecosystem Map

Understanding loneliness in COVID-19: research synthesis

To synthesize the secondary research, we have created a map that visualizes relevant information about loneliness and negative emotions that intensified during the COVID-19 pandemic. This map encompasses a variety of related topics, including associated health problems, observed signs and symptoms, existing solutions, technological advances, underlying causes of loneliness, and the various stakeholders involved in the ecosystem. By providing a visual and structured representation of these key aspects, the map has enabled us to gain a clear and comprehensive understanding of the situation. This understanding, in turn, assists us in identifying areas of focus and opportunities for effective interventions.

Research Questions

1. How does social distancing contribute to feelings of loneliness?

2. Can companion robots mitigate feelings of loneliness?

3. How has the perception of companion robots changed due to COVID-19?

4. What’s driving the adoption of robots?

5. What are the technological global advances in companion robots?

6. What are the ethical and legal implications raised by the development and diffusion of companion robots?

With a clearer understanding of the context, we formulated questions to direct our research towards a specific area of opportunity: the development of companion robots to assist individuals in understanding and managing their emotions. Additionally, we gained insights into users' perspectives on these types of solutions.

View visual maps with the research

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Stakeholders & User Research

Stakeholders Map

Stakeholders in companion robot adoption for mental health support

Individuals struggling with mental health issues

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  • These are the primary beneficiaries of the solution, as they would directly benefit from the emotional support and companionship provided by the robot.

Mental health professionals

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  • Psychiatrists, psychologists, therapists, and counselors are stakeholders as they may incorporate the use of companion robots into their treatment plans or recommend them to their patients as part of therapy.

Healthcare providers and institutions

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  • Hospitals, clinics, and other healthcare facilities may adopt companion robots as part of their mental health support services, enhancing patient care and well-being.

Families and caregivers

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  • Family members and caregivers of individuals experiencing mental health challenges may view companion robots as valuable tools for providing additional support and alleviating caregiving burdens.

Technology companies

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  • Companies involved in the development and manufacturing of companion robots are stakeholders, as they would directly benefit from the adoption of their products in addressing mental health issues.

Researchers and academia

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  • Scholars and researchers studying mental health interventions and human-robot interaction are stakeholders, as they may contribute to the advancement of knowledge in this area and the development of more effective robot companions.

Government agencies and policymakers

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  • The prototype is designed to require minimal user interaction, limited to simple cleaning, semi-annual filter replacements, and basic operational supervision.

Survey Insights

Data snapshot: survey findings on user demographics, emotional state, and companion robot perspectives

For our initial user research, we conducted a survey to gather information on participants' demographics, emotional well-being, mental health habits, technology usage, and perspectives on companion robots. The image below provides a summary of the data collected.

Interviews

Exploring design preferences: insights from follow-up interviews

For our initial user research, we conducted a survey to gather information on participants' demographics, emotional well-being, mental health habits, technology usage, and perspectives on companion robots. The image below provides a summary of the data collected.

Persona Map

Getting to know Alex: the eager tech explorer

Alex is a 20-year-old university student majoring in computer science. Tech-savvy and constantly engaged with their laptop and smartphone, Alex utilizes these devices for both academic studies and leisure pursuits. Despite their familiarity with technology, Alex occasionally faces challenges in managing stress and achieving a balanced lifestyle amidst the demands of coursework. They are intrigued by innovations that could improve their overall well-being and productivity. However, they prefer solutions that are intuitive, user-friendly, and seamlessly integrate into their daily routines without introducing unnecessary complexity.

Interests

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  • Technology and gadgets
  • Gaming and entertainment
  • Socializing with friends
  • Exploring new apps and digital tools

Goals

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  • Succeed academically and graduate with honors
  • Maintain a healthy work-life balance
  • Cultivate meaningful relationships and connections
  • Stay mentally and emotionally resilient

Motivations

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  • Desire to excel academically and pursue a successful career
  • Need for emotional support and companionship
  • Curiosity about new technologies and their potential benefits
  • Aspiration to lead a fulfilling and balanced life

Needs

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  • Emotional support during stressful times
  • Assistance in managing academic workload and deadlines
  • Companionship to alleviate feelings of loneliness
  • Solutions to enhance well-being and productivity

Influences

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  • Peers and classmates
  • Academic advisors and mentors
  • Social media influencers
  • Technology trends and innovations

Frustrations

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  • Feeling overwhelmed by academic workload and deadlines
  • Experiencing loneliness and isolation, especially during late-night study sessions or when friends are unavailable.
  • Struggling to find effective solutions for managing stress and maintaining well-being
  • Difficulty in balancing academic responsibilities with personal interests and social life

Empathy Map

Inside Alex's mind: a deeper look at student challenges

Understanding the perspective and experiences of our target users is fundamental to designing products that effectively meet their needs and preferences. In this empathy map, we delve into the life of Alex, a 20-year-old university student studying computer science. By exploring what Alex hears, sees, says, does, thinks, and feels, we gain valuable insights into his daily challenges, aspirations, and motivations. These insights serve as a foundation for crafting solutions that seamlessly integrate into Alex's lifestyle, enhancing his well-being and productivity.

Says & Does

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  • Expresses concerns about feeling overwhelmed with coursework and assignments.
  • Shares excitement about discovering a new app or gadget that simplifies their life.
  • Talks about the need for better strategies to manage stress and maintain a healthy lifestyle.
  • Discusses plans for exploring different methods to enhance productivity and well-being.
  • Spends hours studying and coding on their laptop for academic projects.
  • Takes breaks to scroll through social media feeds or watch videos online.
  • Tries out new productivity apps and tools recommended by friends or online reviews.
  • Engages in hobbies like gaming or watching movies to relax and unwind after a long day of studying.

Thinks & Feels

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  • Contemplates ways to improve their study habits and time management skills.
  • Considers the potential benefits of adopting new technologies to enhance productivity.
  • Reflects on the challenges of balancing academic responsibilities with personal interests and social life.
  • Wonders about the impact of stress and workload on their overall well-being and academic performance.
  • Feels excited and motivated when discovering new tech solutions that could improve their efficiency and effectiveness.
  • Feels overwhelmed and stressed when facing tight deadlines and complex assignments.
  • Feels a sense of satisfaction and accomplishment when successfully completing a challenging project or assignment.
  • Feels anxious about the uncertainty of the future and meeting academic expectations.

Hears

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  • Conversations among classmates about the latest gadgets and technology trends.
  • Notifications and alerts from various apps on their smartphone.
  • Advice from professors and peers regarding academic workload and time management.
  • Music or podcasts playing in the background while studying or relaxing.

Sees

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  • Classmates using different study aids and productivity tools during lectures and study sessions.
  • Advertisements or promotions for new tech products and apps on social media platforms and websites.
  • Friends or influencers sharing their experiences with technology on social media.
  • Family members or friends engaging in activities or hobbies to unwind and de-stress.

Journey - Experience Map

A day in the life of Alex: journey mapping insights

This map provides a detailed exploration of Alex's daily experiences, highlighting key actions, touchpoints, thoughts, feelings, and opportunities throughout his day as a university student. By delving into the various stages of Alex's routine, we gain valuable insights into his needs, challenges, and preferences, allowing us to identify areas where our companion robot solution can offer meaningful support and enhancement.

Morning Routine

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  • Actions: Wakes up, checks smartphone for notifications, prepares breakfast while scrolling through emails and messages.
  • Touchpoints: Smartphone, kitchen appliances.
  • Thoughts: "What tasks do I have to complete today? Did I miss any important messages or updates?"
  • Feelings: Anxious about the day ahead, eager to start but also feeling overwhelmed.
  • Opportunities: Implement a morning mindfulness routine or meditation practice to start the day with a clear mind and reduce anxiety.

University Classes

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  • Actions: Attends classes, takes notes on laptop, participates in discussions.
  • Touchpoints: Laptop, classroom environment, course materials.
  • Thoughts: "I need to focus and absorb as much information as possible. How will I manage to complete all my assignments on time?"
  • Feelings: Engaged during class discussions but stressed about the workload and upcoming assignments.
  • Opportunities: Provide tools for better organization and time management, such as study planners or task management apps.

Study Break

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  • Actions: Takes a break between classes, checks social media or watches a short video.
  • Touchpoints: Smartphone, social media platforms.
  • Thoughts: "I need a quick break to recharge, but I can't afford to waste too much time. What's the latest news or updates on social media?"
  • Feelings: Relieved to take a brief pause but guilty about procrastinating.
  • Opportunities: Offer guided relaxation exercises or productivity tips during breaks to help Alex recharge more effectively.

Afternoon Study Session

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  • Actions: Continues studying, works on assignments and projects.
  • Touchpoints: Laptop, textbooks, study materials.
  • Thoughts: "I need to stay focused and productive. How can I better organize my study materials and notes?"
  • Feelings: Determined to be productive but starting to feel fatigued and stressed from the workload.
  • Opportunities: Provide study aids or resources tailored to Alex's specific courses to enhance comprehension and retention of information.

Evening Relaxation

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  • Actions: Takes a break from studying, listens to music or watches a favorite show.
  • Touchpoints: Smartphone, headphones, streaming platforms.
  • Thoughts: "I need to unwind and relax after a long day. What's something enjoyable I can do to take my mind off schoolwork?"
  • Feelings: Relief at having some downtime, but still thinking about the tasks left unfinished.
  • Opportunities: Suggest stress-relief activities or personalized recommendations for entertainment content to help Alex unwind more effectively.

Bedtime Routine

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  • Actions: Prepares for bed, sets alarm on smartphone, reads for a few minutes.
  • Touchpoints: Smartphone, reading materials.
  • Thoughts: "I hope I can get enough sleep tonight. What tasks do I need to prioritize tomorrow?"
  • Feelings: Exhausted from the day's activities but hopeful for a good night's rest.
  • Opportunities: Offer sleep-tracking features or relaxation techniques to improve sleep quality and optimize Alex's nighttime routine.

Definiton

User Environment

User environment overview for companion robot interaction

The user's environment for the companion robot encompasses various spaces where they typically interact on a daily basis. These spaces include their room, where they spend time studying, relaxing, and engaging in leisure activities. Additionally, users may interact with the robot in communal areas such as the living room or kitchen, where they socialize with family members or roommates. Other potential spaces for interaction include outdoor environments like parks or cafes, where users may seek moments of respite or social connection. Moreover, the robot should seamlessly integrate into spaces such as schools, libraries, or workplaces, allowing users to benefit from its support and companionship wherever they go. Overall, the user's environment is diverse and encompasses a range of spaces where the companion robot can play a valuable role in enhancing their well-being.

Requirements

Essential features for companion robot development

Multisensory communication

The robot must employ a variety of sensory stimuli, such as colors, lights, sounds and textures, to effectively communicate the user's emotions and feelings, providing a richer and more meaningful interaction experience.

Technology integration

Integrating various technologies and elements into a single product is necessary to offer a holistic approach that addresses both the user's emotional needs and daily activities, becoming a versatile and valuable companion in their daily lives.

Integration without disruption

The robot should integrate seamlessly into the user's life without causing significant disruptions to their routines or lifestyle, ensuring a smooth and natural transition to interaction with the device.

Emotional support in times of need

It must have the ability to provide emotional support in times of stress, anxiety and loneliness, acting as a comforting and reassuring resource for the user when they need it most.

Portability and durability

The robot design should be compact, lightweight, and durable, which will facilitate its transportation to different places according to the user's needs, ensuring its durability and reliability in various situations and environments.

Friendly and non-threatening appearance

The robot is intended to have a friendly and welcoming appearance, similar to that of a pet or with certain human traits, but without being so realistic as to be intimidating or disturbing to the user.

Wide range of emotional expressions

Must have the ability to express a wide range of emotions and feelings in an authentic and compelling way, allowing for deeper and more meaningful interaction with the user.

Remote interface and emotion logging

A remote interface for user access is necessary, as well as an emotion logging system to help keep track of the user's interactions and emotional well-being over time.

Design Criteria

Guidelines for companion robot appearance

Acceptable design solutions for the companion robot's appearance include those that exhibit a friendly and approachable demeanor, resembling characteristics of pets or incorporating subtle human-like features without appearing too realistic. These designs should evoke feelings of warmth and comfort, inviting users to engage with the robot in various activities. Unacceptable design solutions, on the other hand, involve designs that are overly complex or intimidating, resembling creatures that evoke fear or discomfort. Additionally, designs that closely mimic human appearance to the point of being uncanny or unsettling should be avoided, as they may deter users from interacting with the robot.

Product Expectations

Key components for responsive user interaction

Ideation & Prototyping

Solution concepts

Exploring design alternatives: mascot theme vs. organic shapes

Two design proposals have been developed in accordance with the aforementioned requirements and design criteria. The first proposal emphasizes the creation of a robotic mascot resembling a dog. This design incorporates colored lights on the ears and tail, along with an expressive facial display to convey emotions effectively. The second design adopts a slightly more humanoid appearance, featuring organic shapes reminiscent of mushrooms or plants. In this design, lights are integrated into the ornamentation of its head, accompanied by a facial display composed of small LEDs to depict emotions.

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Redesign

A new look: mushroom-inspired redesign for the robot companion

When opting for the second proposal featuring organic elements for the robot, inspiration was drawn from the shape of mushrooms, resulting in a design with rounded extremities to enhance its friendly appearance, akin to that of a fluffy stuffed animal. The head ornament, functioning as the primary light source, maintains the shape of a traditional light bulb, symbolizing the process of illumination, generating ideas, understanding concepts, and devising solutions.

3D Model

Crafting the companion: utilizing 3D modeling for robot development

The robot design was developed using a 3D modeling program, facilitating the definition of both the overall structure and smaller components like limbs and accessories. With the complete shape finalized, further crucial aspects such as the casing thickness and the arrangement of internal elements including sensors and connections were determined.

Programing & Prototype

Product development process overview

To begin the product development process, a diagram was created to illustrate the operation and information exchange between the user and the robot. Following this, programming for each sensor and emotion was implemented, along with the integration of all the code and circuits. Once the internal components were functioning properly, the external prototype was crafted using thermoformed plastic. Finally, all parts were assembled to create the final prototype, and validation tests were conducted to ensure the robot's functionality and Bluetooth connection with the user's cell phone.

Programming & Internal Prototype

  • Development of individual sensor code to facilitate seamless integration into the overall system.
  • Development of the internal prototype involved integrating sensors, Bluetooth, and LED matrix to ensure functionality.
  • Crafting facial expressions involved to create a range of expressions like happiness, sadness, and surprise.

Physical Prototype

  • Development of the physical model using foam and plaster as the primary materials.
  • Utilization of thermoformed plastic for the housing design, ensuring durability, lightweight construction, and precise shaping of the robot's outer casing.
  • Trimming of the casing and sanding of edges to refine the surface finish and ensure smooth contours for the final product.
  • Application of paint finishes to the casing for aesthetic enhancement and protection.
  • Integration of the internal system into the external prototype for testing and evaluation.

Code Performance

Integration testing: bluetooth communication and facial expressions

The code has been integrated, and the facial expressions styles have been designed. We conducted tests to assess its functionality with Bluetooth communication via cell phone, sending messages containing the names of the programmed emotions to the Arduino. This was to confirm whether it responds accurately and displays the corresponding animations on the LED matrix.

Final Design

3D Model Render

Clever Buddy: companion robot design

The final design of the companion robot draws inspiration from the elegant contours and natural forms of mushrooms. Crafted using thermoforming techniques and refined through meticulous 3D modeling, it embodies organic silhouettes that evoke a sense of comfort and accessibility. Central to its design is an intricately crafted head ornament resembling a light bulb, symbolizing the genesis of ideas and cognitive processes. Each emotional state is assigned a distinct color, which is dynamically expressed through the ornament, facilitating clear and intuitive communication with the user. Complementing this feature is an integrated 8x8 LED matrix embedded within the robot's face, which articulates a range of facial expressions to convey emotions effectively. Additionally, the robot is equipped with sound and proximity sensors, enabling seamless interaction with users, while the integration of a Bluetooth module facilitates communication via mobile devices. Compact and lightweight, this design ensures portability, allowing users to carry their companion robot wherever they go, fostering a sense of companionship and support in various contexts.

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3D Model Internal Parts

Inside Clever Buddy: exploring the robot's internal systems

Outcomes & Lessons Learned

Results

🏅Finalist of Product Design 2022
National Design Award

Premio Diseña México

Category: Product Design
Subcategory: Robotics

Learnings

From code novice to robotics enthusiast

💭

Developing the functionalities for the companion robot was a significant challenge, especially since this project marked my first foray into coding and hardware integration. Delving into the Arduino programming language was both daunting and exhilarating, as I grappled with the basics of coding syntax and logic. Through trial and error, I gradually gained confidence in writing code to control the robot's behaviors and interactions. Each line of code became a lesson in problem-solving and creativity, as I learned to translate conceptual ideas into functional software.

💭

Assembling the companion robot required a delicate balance between hardware and software integration. From soldering sensors to configuring LED matrices, each hardware component played a crucial role in bringing the robot to life. Integrating these hardware elements with software was a complex puzzle that required meticulous attention to detail. I learned firsthand the importance of compatibility and functionality, as I navigated the intricacies of connecting sensors, motors, and actuators to the Arduino microcontroller. Through countless hours of experimentation and troubleshooting, I gained a deeper understanding of how hardware and software interact to create dynamic and responsive systems.

💭

Guiding the development of the companion robot from concept to completion was a journey marked by careful planning and coordination. As a novice in project management, I faced the challenge of balancing tasks, timelines, and resources effectively. Prioritizing the project's objectives while juggling the demands of learning coding and hardware integration was no small feat. However, through perseverance and adaptability, I honed my project management skills, learning to set clear goals, allocate resources efficiently, and communicate effectively with collaborators. Each milestone achieved was a testament to the power of determination and teamwork in driving the project towards success.

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