When cats are also bots.

On: September 22, 2016
Print Friendly
About Marlene Scherf


   

Meet Mica.

Cat content works. It’s one of the unofficial laws under which the internet operates. Cat content is funny and lifts you up. And now cat content informs you. How? Let me tell you about “Mica the Hipster Cat Bot.”

Earlier this year, Austrian developer Barbara Ondrisek (@electrobabe) released “Mica, the Hipster Cat Bot”, that makes sure you’ll find and meet your fellow hipsters in different cities and different countries around the world. Mica was launched on product hunt and experienced an unexpected hype. Reason enough to look into it, see what Mica is all about and why “she” is relevant.

What is special about Mica?

Mica conquered the hearts of the (Austrian) internet generation by storm. The users were fascinated by it’s simplicity, useful tips and short dialogues. And if you ask for it, Mica sends you cat content. Originally designed for Facebook Messenger, it is now also available on Telegram and Skype. The bot was one of the first bots to receive global approvement by Facebook.

Mica is easy to use with (at the moment) pretty basic functions. You can send her your location (or the city you’re interested in), and Mica replies with ‘hip’ suggestions of cafes and restaurants close to the location you sent.

But how does Mica know what is hip?

Well, we don’t know how Mica judges if places are ‘hip’ or not. What we do know is, that behind the cat works an algorithm. Barbara, the developer of Mica, explains it a little bit in a blogpost on her medium page: The algorithm is designed to look up hip places around the world. It looks up popular places, using different sources (Foursquare, Yelp, Google Places and Facebook Places), looking for “specific keywords, combines the results to find the best hip venues”, merges the data, and eventually makes it then visible through Mica.

Mica suggesting a hip coffeehouse

Mica suggesting a hip coffeehouse

Why is Mica relevant, and why should I care about chatbots?

Chatbots have been around since the 1960’s. At first they were just a tool to play around with and to see if a “real” (between people) conversation could be faked (Shawar, Atwell 29). But the potential of chatbots has risen quite a bit over the past decades. As Techcrunch points out, pioneering work in the field of bots was done for example by Dominos. By sending a tweet with a Pizza Emoji you could order food. A bot would check on the backend if the request was real or fake. But the huge milestone concerning bot development was probably laid at Facebook’s 2016 F8 Conference, when the company announced that Messenger will be open for chatbots. Phys.org puts it like this:

“Facebook in April opened the floodgates, letting third-parties develop robot helpers for Messenger that will ideally make it more efficient to complete quotidian tasks.”

With this happening, bots are a technology that are now at the entry point of mainstream and mass use.

Phys.org’s article further states: “In Internet culture, when you’re looking for something, you go to your social network connections and you ask for assistance. Chatbots are an evolution of that behavior.”

You can also request that Mica sends you some cat content

You can also request that Mica sends you some cat content

Will we be talking to chatbots?

Chatbots are probably on the fast lane right now, since the place where we – the people – communicate has changed drastically. In the recent past we could observe three major trends, where communication on the internet experienced a shift or took a turn. Communication changed from websites to social media, then it shifted to apps on smartphones and now we’re experiencing a movement towards messenger applications. Chatbot Magazine argues that “for the first time ever people are using messenger apps more than they are using social networks.” Earlier this year, Business Insider published the chart below to visualize how the use of messenger apps is growing and how steep the development was over the past years.

 

Messaging Apps_BI Intelligence

 

What bots are now able to do – besides delivering information – is what Bonne Chantarotwong calls “stimulating the conversation and entertain the users” (1). This might be another argument of why bots are becoming so popular. It is entertaining or at least not boring, the user can express him- or herself and a kind of one-to-one interaction is going on. Users are encouraged to speak with a bot. They can do it with their own words. At least to have a small conversation. This is also what Zadrozny et al. point out in their paper dealing with human-computer interaction: users basically want “to express their interest, wishes, or queries directly and naturally, by speaking, typing, and pointing” (117). Actions that are natural to them.

What’s coming next? 

The fact the Mica was and still is so well received, is of course an indicator to where chatbot developments might lead. There are various fields where bots are already used meaningfully. Travel or location recommendations are just a small part of it. The trend of communication through messenger apps will hold on and bots like Mica will multiply. The blog goodfirms.com stated in an article that “Messaging Apps are slowly adding muscles. Users log into messaging apps to chat with their friends, to connect with brands, to browse merchandise and to watch content.” Chris Messina states on his medium page that “over an increasing period of time, computer-driven bots will become more human-feeling, to the point where the user can’t detect the difference, and will interact with either human agent or computer bot in roughly the same interaction paradigm.”

Mica is just one example of a successful and useful chatbot. A quote which sums up the ongoing developments comes from Brian Solis, a consultant and disruptive technology analyst: “Chatbots are to you and me and today’s culture, what call centers are to our parents’ culture.”

 


 

Bibliography

Abu Shawar, Bayan and Atwell, Eric. “Chatbots: Are they Really Useful?”. LDV-Forum Band 22.1 (2007): 29-49. 16 September 2016. <http://media.dwds.de/jlcl/2007_Heft1/Bayan_Abu-Shawar_and_Eric_Atwell.pdf>.

Business Insider. “Messaging Apps are now bigger than social networks.” 2016.  BI Intelligence. 18 September 2016. <http://www.businessinsider.com/the-messaging-app-report-2015-11?IR=T>

Chantarotwong, Bonne “The learning Chatbot”. IMS-256 Final Project (2006). 16 September 2016. <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.480&rep=rep1&type=pdf>

Edwards, Corey. “Why and how chatbots will dominate social media.” Techcrunch. 2016. 18 September 2016 <https://techcrunch.com/2016/07/20/why-and-how-chatbots-will-dominate-social-media/>

Goodfirms. “Emerging Trends Of Messaging Apps 2015-2016.” 2016. 18 September 2016  <https://www.goodfirms.co/blog/emerging-trends-of-messaging-apps-2015-2016>

Messina, Chris. “2016 will be the year of conversational commerce.” 2016. 18 September 2016 <https://medium.com/chris-messina/2016-will-be-the-year-of-conversational-commerce-1586e85e3991#.cp0zbwnfi>

Ondrisek, Barbara. “24h after the launch of Mica, the Hipster Cat Bot.” Medium. 2016. 18 September 2016 <https://medium.com/@electrobabe/launch-of-mica-the-hipster-cat-bot-cc81fa8751a6#.y412z12gi>

Schlicht, Matt. “The Complete Beginner’s Guide To Chatbots.” Chatbots Magazine. 2016. 18 September 2016 <https://chatbotsmagazine.com/the-complete-beginner-s-guide-to-chatbots-8280b7b906ca#.26htepaly>

Van Grove, Jennifer. “Do people want to talk to bots?” Phys.org. 2016. 18 September 2016 <http://phys.org/news/2016-05-people-bots.html>

Zadrozny et al. ” Natural Language Dialogue for Personalized Interaktion” Communications of the ACM 43.8 (2000): 116-120. 16 September 2016. <http://webpage.pace.edu/sp68870w/NLP/Natural.pdf>

Leave a Reply