Cheering up the chatbot
The speech to text tool on my phone is convinced that “ethnography” = “not greasy.” (At least “not greasy” tends to be a postive thing?) Generally STT and voice commands work great on it though. You have to talk to it the right way: Enunciate; dramatic pauses between each word; don’t feed it too many words at once. The popular speech recognition application Dragon NaturallySpeaking emphasizes that users train the system to recognize their voices, but there’s always an element of the system training its users how to talk.
For entertainment purposes, it’s best to avoid the careful pauses and smush things together, producing text message gems like “Send me the faxable baby.” It’s the mismatches between human intention and machine representation that can make using natural language interaction tools like STT, chatbots and speech prediction both frustrating and hilarious. When it’s bad, it’s really really good.
I’ve been playing with the game Cheer up the Chatbot the last couple days (from RRRR, “Where the games play you”).
Chatbot has an unusual way of interacting with people, as so many chatbots do.

Screen explaining Chatbot’s mental disorders
Understandably, Chatbot is sad.
The goal is to get Chatbot to smile.

Open-ended questions make robots happy
The game is a mix of bot and human-to-human chat, where you switch between talking to the game’s bot and to different players who are presented as the “Chatbot” speaker to each other. When you hit a moment where there are enough players with different agendas online — including some who don’t know how the game works, some presenting as Chatbot, and some presenting as people — it can get weird.
Recent Comments