Digital communication, while an amazing way to keep in touch and spread ideas, has a fundamental flaw. It lacks the emotional intelligence that can be read and felt when humans interact face to face.
Advances in facial recognition technology and artificial intelligence has allowed a way for emotional intelligence to be detected, quantified and fed back to the viewers. This capability can be used to create a better understanding of how people connect and engage with creative media, and ultimately bring back human emotional understanding to our online discourse.
I feel privileged to have experienced working for a small bootstrapped startup. It taught me a lot of lessons about focusing on specific, value driven aspects of the design and about how much can be done in a short time when the crunch comes.
It was fast paced, agile and fun. Startup people tend to be independent and self starting and our team was certainly full of characters.
Using Memo, our capability prototype, we recorded the users reaction to a stimulus video (after agreeing to our privacy policy). Our emotionally intelligent algorithm would then process the viewers reaction so we could combine this with survey data to compare the users emotional responses to their survey data for a fuller view of how engaging the stimulus was.
We also designed an API experience that allowed a client to upload a prerecorded facial video for emotional analysis.
While CrowdEmotion was based in the BBC White City office we got to know the BBC user needs very well. We conducted interviews and a workshop to find out the BBC user needs and how best utilise our technology to provide value.
Based on our research we created a set of user personas and task scenarios that the product will need to achieve.
While the prototype and the capability was maturing, we planned to move away from consulting to a product company that provides a SAAS based experience.
This included creating an API with a front end that any client can integrate CrowdEmotion into their B2B and/or B2C experiences.
Back in the ancient days of yore, I used Balsamiq to create wireframes and Photoshop to create the final hi-fidelity mockups.
This will be the last time I used this 'old style' set up as I transition to using Sketch, Abstract and Zeplin to design and handover work.
Crowdemotion API: Registration
Crowdemotion API: Upload video
Crowdemotion API: Emotional analytics
Crowdemotion API: API integration options
Memo prototype: Camera set up
Memo prototype: Watch video stimulus
Memo prototype: Emotional survey
Memo prototype: Emotional analytics
© Copyright Steve Mulvey 2021