Her Sense - Women, Technology and Intervention
Read more about the process: Design Research and Narratives
In her book, See Yourself Sensing, architect and filmmaker Madeline Schwartzman writes, “Physical appearance is a potent tool for communicating identity, beliefs and values.” Near the end of May’s thesis work, Facebook had just released DeepFace, its online face-recognition technology. May began to imagine a near future where she could leverage this technology to deliberately serve women, and designed Lookbot.
LookBot is a smart robot that lives in a woman’s purse. It is constantly scanning its surroundings, looking for people’s faces.
Here’s how it works:
1. LookBot analyzes nearby people’s faces—whether the user is walking around the city, in the office, or at a social gathering.
2. LookBot compares what it sees with information from social media-networking sites such as LinkedIn and Facebook, matching online profiles with the faces that it sees.
3. When LookBot identifies a potential networking candidate (based on the user’s own social and work profile)—say an industry leader, mentor, role model, or business partner—it sends a notification to the user’s smartphone or smartwatch with the appropriate information, such as the person’s name, occupation, company, and specific location. It can even suggest a “meet up.”
Let’s take a closer look: In this example, a woman is sitting in a coffee shop, and LookBot recognizes Ayah Bdeir, the CEO of littleBits—a highly respected leader in technology and hardware. Her current interest is helping people in #Nepal. In this scenario, the user may decide to approach Ayah, introduce herself, and perhaps start a conversation.
In this example, this woman is sitting in a coffee shop and LookBot recognizes Ayah Bdeir, who is the CEO of littleBits—a highly-respected leader in technology and hardware. Her current interest is helping people in #Nepal. In this instance, the user can decide to approach Ayah, introduce herself, and perhaps start a conversation.