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Embodied Ai

The brief:

Create Proof of Concept for an Embodied AI that explains the physical/digital world.

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Engagement needs:

  • Easy to use UX/UI

  • Compelling character

  • Appealing & accessible to

  • target audience

First thoughts

Deliverables

  • Quality of idea, push boundaries

  • Design thinking & ideation

  • Variety of design artifacts

  • Tangible prototype

Constraints

  • Timeframe

  • Lack of development skills in unity

Why use AI & AR:

  • Needs to explore physical world

  • Tackle a problem or need

  • Uses body language & expression

Dev requirements

  • Fit for mobile

  • Android deployment

  • App, QR code??

Favourite few

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The embodied AI would work well with this as emotions & realism can help users feel heard. However lack of physical realm, makes this a bit redundant.

The winner!

Initial idea of pantry items is
strong, however character whilst
cooking feels disjointed. Use of AR
isn’t strong enough

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Audience

Mario, a digital nomad and active software engineer travels the world whilst working remotely. He wants to learn English to boost his job prospects and ease his travels. However, his ADHD makes it hard to focus for long periods.

Traditional language apps bore him with trivial phrases; he prefers practical, real-world knowledge, like how to order a coffee naturally.

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Development

Why use AR?

01

In 2008, Cory Kidd's study found that people were more committed to their fitness goals with an interactive robot compared to using pen and paper or a touch screen. The robot's social interactions kept participants engaged and motivated, with most completing the study and even bonding with the robot.

02

As users will practice pronunciation with their mentor it is important that the AI can interact and respond with visual cue’s as to how they’ve performed.

03

It's crucial that the robot's appearance doesn't reflect specific cultural or societal standards, this could make it harder for people from diverse backgrounds to connect with. It could lead to the exclusion of users from various cultures, those with disabilities, or minority groups.


Mentors characteristics

01

The mentors voice will be female, with a friendly tone. The goal here is for her to sound like a friend, rather than a GPS assistant. 


02

The mentors voice will be female, with a friendly tone. The goal here is for her to sound like a friend, rather than a GPS assistant. 


03

She is excitable and positive. She understands how difficult it is to learn a new language & any success is rewarded with enthusiasm.

These ideas are backed up by research, please find attachments at the end. 

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Figuring out the user experience from start to finish.

Initial
sketches

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UX Flow

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Body storming

View a playful example of how the mentor and user would interact in the real world. This video highlights how contextual learning can be applied to real environments.

 

This type of interaction allows learners to process new information in relation to their own frames of reference.

https://www.youtube.com/shorts/hrm4-nC1tws

Art direction

The art direction for the app would feel modern and exciting. The exploding and energetic ball would come to life when learners get phrases correct which would entice them to complete their targets, and share with friends their mentor experience, unlike any other.

Prototype

View the finished prototypes in these video’s to view a snipped of how the user and mentor would interact.

I ran into trouble right before hand in and I couldn’t load the prototype onto my phone. However hopefully these video’s give insight into the desired effect.

Resources:



How Humans Respond to Robots:
chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.brookings.edu/wp-content/uploads/2014/07/humanrobot-partnershipsr2.pdf

Gender Bias in AI: Why Voice Assistants Are Female:

https://www.adaptworldwide.com/insights/2021/gender-bias-in-ai-why-voice-assistants-are-female

The Importance of Contextual Learning in 2024:

https://www.clicklearn.com/blog/the-importance-of-contextual-learning/

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