In Defense Of Anthropomorphizing Technology

Last week I was sitting in a waiting room when the news came across my phone that Ingenuity, the helicopter that NASA put on Mars three years ago, would fly no more. The news hit me hard, and I moaned when I saw the headline; my wife, sitting next to me, thought for sure that my utterance meant someone had died. While she wasn’t quite right, she wasn’t wrong either, at least in my mind.

As soon as I got back to my desk I wrote up a short article on the end of Ingenuity‘s tenure as the only off-Earth flying machine — we like to have our readers hear news like this from Hackaday first if at all possible. To my surprise, a fair number of the comments that the article generated seemed to decry the anthropomorphization of technology in general and Ingenuity in particular, with undue harshness directed at what some deemed the overly emotional response by some of the NASA/JPL team members.

Granted, some of the goodbyes in that video are a little cringe, but still, as someone who seems to easily and eagerly form attachments to technology, the disdain for an emotional response to the loss of Ingenuity perplexed me. That got me thinking about what role anthropomorphization might play in our relationship with technology, and see if there’s maybe a reason — or at least a plausible excuse — for my emotional response to the demise of a machine.

Continue reading “In Defense Of Anthropomorphizing Technology”

Never Stare Down A Robot

There are a few things historically difficult to make a robot do. Stairs, of course, are the obvious problem. But realistic blinking behavior is harder than you might think. At first, it might seem frivolous and simple to have a robot blink, but according to Italian scientists, it is both more important and more difficult than you probably think.

Blinking is a nonverbal cue when humans communicate. The post quotes a Finnish researcher:

While it is often assumed that blinking is just a reflexive physiological function associated with protective functions and ocular lubrication, it also serves an important role in reciprocal interaction.

Continue reading “Never Stare Down A Robot”

A face made up of 3 OLEDs

It’s Nice Having Someone To Talk To

We all get a bit lonely from time to time and talking to other humans can be a challenge. With social robots still finding their way these days, [Markus] decided to find a DIY solution he could make cheaply, resulting in the “Conversation Face.”

The build is actually pretty simple, really. You have three different OLED displays, two for the eyes and one for the mouth, that have different graphic images programmed onto them depending on the expression being displayed. There’s also a small electret microphone that senses when you are speaking to the face.  Finally, a simple face cutout covers the electronics and solidifies the aesthetic.

The eyes are programmed identically since they would move together for most expressions. [Markus] was able to get a blinking animation by quickly moving a white circle vertically through the eye screens and the results are pretty convincing. He also moves the eyes around the OLED to make the expressions seem more dynamic.

There’s not much to the mouth. [Markus] only has a mouth open and a mouth closed animation. The mouth opens when it’s the face’s turn to talk or closes when the face should be listening. This information is easily determined by measuring the output of the microphone. Interestingly enough, you can program the face to be quiet and attentive when it’s being spoken to or quite chatty to show that it’s actively engaging in the conversation.

I don’t know about you, but we can’t decide if the Conversation Face is more or less creepy than those social robots. Either way, we thought you would get a kick out of it regardless. It also looks like a funny anime character if you ask us.

Machine Learning Helps You Track Your Internet Misery Index

We all seem to intuitively know that a lot of what we do online is not great for our mental health. Hang out on enough social media platforms and you can practically feel the changes your mind inflicts on your body as a result of what you see — the racing heart, the tight facial expression, the clenched fists raised in seething rage. Not on Hackaday, of course — nothing but sweetness and light here.

That’s all highly subjective, of course. If you’d like to quantify your online misery more objectively, take a look at the aptly named BrowZen, a machine learning application by [Nick Bild]. Built around an NVIDIA Jetson Xavier NX and a web camera, BrowZen captures images of the user’s face periodically. The expression on the user’s face is classified using a facial recognition model that has been trained to recognize facial postures related to emotions like anger, surprise, fear, and happiness. The app captures your mood and which website you’re currently looking at and stores the results in a database. Handy charts let you know which sites are best for your state of mind; it’s not much of a surprise that Twitter induces rage while Hackaday pushes [Nick]’s happiness button. See? Sweetness and light.

Seriously, we could see something like this being very useful for psychological testing, marketing research, or even medical assessments. This adds to [Nick]’s array of AI apps, which range from tracking which surfaces you touch in a room to preventing you from committing a fireable offense on a video conference.

Continue reading “Machine Learning Helps You Track Your Internet Misery Index”

Your Next Robot Needs Googly Eyes, And Other Lessons From Disney

There are so many important design decisions behind a robot: battery, means of locomotion, and position sensing, to name a few. But at a library in Helsinki, one of the most surprising design features for a librarian’s assistant robot was googly eyes. A company called Futurice built a robot for the Oodi library and found that googly eyes were a very important component.

The eyes are not to help the robot see, because of course they aren’t functional — at least not in that way. However without the eyes, robot designers found that people had trouble relating to the service robot. In addition, the robot needed emotions that it could show using the eyes and various sounds along with motion. This was inspired, apparently, by Disney’s rules for animation. In particular, the eyes would fit the rule of “exaggeration.” The robot could look bored when it had no task, excited when it was helping people, and unhappy when people were not being cooperative.

Continue reading “Your Next Robot Needs Googly Eyes, And Other Lessons From Disney”

Emotional Hazards That Lurk Far From The Uncanny Valley

A web search for “Uncanny Valley” will retrieve a lot of information about that discomfort we feel when an artificial creation is eerily lifelike. The syndrome tells us a lot about both human psychology and design challenges ahead. What about the opposite, when machines are clearly machines? Are we all clear? It turns out the answer is “No” as [Christine Sunu] explained at a Hackaday Los Angeles meetup. (Video also embedded below.)

When we build a robot, we know what’s inside the enclosure. But people who don’t know tend to extrapolate too much based only on the simple behavior they could see. As [Christine] says, people “anthropomorphize at the drop of the hat” projecting emotions onto machines and feeling emotions in return. This happens even when machines are deliberately designed to be utilitarian. iRobot was surprised how many Roomba owners gave their robot vacuum names and treated them as family members. A similar eruption of human empathy occurred with Boston Dynamics video footage demonstrating their robot staying upright despite being pushed around.

In the case of a Roomba, this kind of emotional power is relatively harmless. In the case of robots doing dangerous work in place of human beings, such attachment may hinder robots from doing the job they were designed for. And even more worrisome, the fact there’s a power means there’s a potential for abuse. To illustrate one such potential, [Christine] brought up the Amazon Echo. The cylindrical puck is clearly a machine and serves as a point-of-sale terminal, yet people have started treating Alexa as their trusted home advisor. If Amazon should start monetizing this trust, would users realize what’s happening? Would they care?

Continue reading “Emotional Hazards That Lurk Far From The Uncanny Valley”

Simon Says Smile, Human!

The bad news is that when our robot overlords come to oppress us, they’ll be able to tell how well they’re doing just by reading our facial expressions. The good news? Silly computer-vision-enhanced party games!

[Ricardo] wrote up a quickie demonstration, mostly powered by OpenCV and Microsoft’s Emotion API, that scores your ability to mimic emoticon faces. So when you get shown a devil-with-devilish-grin image, you’re supposed to make the same face convincingly enough to fool a neural network classifier. And hilarity ensues!

Continue reading “Simon Says Smile, Human!”