Her Sense - Women, Technology and Intervention

Read more about the process: Design Research and Narratives

Project: LookBot

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. 

0 
 0 
 1 
 12 
 71 
 SVA 
 1 
 1 
 82 
 14.0 
  
  
 
  
    
  
 Normal 
 0 
 
 
 
 10 pt 
 0 
 2 
 
 false 
 false 
 false 
 
 EN-US 
 ZH-CN 
 X-NONE 
 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
 
 $([{£¥·‘“〈《「『【〔〖〝﹙﹛﹝$(.[{£¥ 
 !%),.:;>?]}¢¨°·ˇˉ―‖’”…‰′″›℃∶、。〃〉》」』】〕〗〞︶︺︾﹀﹄﹚﹜﹞!"%'),.:;?]`|}~¢ 
 
  
  
  
  
  
  
  
  
  
  
  
  
    
  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
   
 
 /* Style Definitions */
table.MsoNormalTable
	{mso-style-name:普通表格;
	mso-tstyle-rowband-size:0;
	mso-tstyle-colband-size:0;
	mso-style-noshow:yes;
	mso-style-priority:99;
	mso-style-parent:"";
	mso-padding-alt:0cm 5.4pt 0cm 5.4pt;
	mso-para-margin:0cm;
	mso-para-margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:12.0pt;
	font-family:Cambria;
	mso-ascii-font-family:Cambria;
	mso-ascii-theme-font:minor-latin;
	mso-hansi-font-family:Cambria;
	mso-hansi-theme-font:minor-latin;
	mso-font-kerning:1.0pt;}
 
     I developed LookBot using OpenCV and a Servo to construct the working prototype. 

I developed LookBot using OpenCV and a Servo to construct the working prototype.