Zipi Doctor Appointments

Are you experiencing any startup pain? If so we know how it feels, since we've been there too. You probably have a lot of questions on your mind. But don't panic, we might be able to help you out, since we are now offering early-stage startups one free appointment per month at the Zipi Offices on Museokatu 42.

The focus is on social media related issues, however, we can also give tips in concepting, design, social media marketing, et cetera. Tell us your situation via email and we'll try to help make you fitter.

dr.zipi@zipipop.com

For more established startups we are already undertaking comprehensive analysis, customer profiling and strategic consultations. And we would like to expand this service to investors to help them analyze potential investment opportunities.

The analysis is largely based on these prinicples. And our Finnish readers can find out more about the process in this presentation.

Intention Broadcasting: Published Paper

In light of the clear interest in this blog post by Jeremiah Owyang about the Intention Web, I thought I should start promoting my short paper on Intention Broadcasting that was published as part of the Proceedings of I-KNOW ’09 and I-SEMANTICS ’09 Conference 2-4 September 2009, Graz, Austria. It is a summary of my final MA thesis that I undertook at Media Lab, Helsinki, which is now part of the new Finnish Aalto University. Abstract: Social media innovations, together with rapidly improving data sharing methodologies, are enabling individuals and groups to instantly disseminate, or ‘broadcast’, messages across many diverse networks. This phenomenon, combined with the growing use of social media services for sharing and coordinating intentions, led me to develop the concept of “intention broadcasting”. Read it here in Scribd or Download the PDF.

Intention Broadcasting Introduction Video

Intention Broadcasting – An introduction from Zipipop on Vimeo.

Social media innovations, together with rapidly improving data sharing methodologies, are enabling individuals and groups to instantly disseminate, or ‘broadcast’, messages across many diverse networks. This phenomenon, combined with the growing use of social media services for sharing and coordinating intentions, led me to develop the concept of “intention broadcasting”.

Intention sharing makes us unique

As part of my thesis research I have a number of search terms logged into Google Alerts,including: "Intention Broadcasting" (a term coined at Zipipop) and the more general term "intention sharing". Google Alerts can be frustrating since it continually throws up old links; however, it does keep you up-to-date and occasionally produces some gems you could easily miss. Not so long ago it throw me a link to an article entitled: The Role of Cultural Transmission in Intention Sharing.

It argues that our relatively high-level ability to communicate shared intentions is a uniquely human attribute that has helped us to develop languages. Conversely, a low level of it has restricted language development in animals. It also simulates how cultural transmission effects our intention sharing abilities.

And since we are producing an Intention Sharing platform this obviously struck a chord in me. Human communication, intention sharing, and coordination skills have resulted in our current world dominance (if you ignore those cockroaches who will most likely out survive us). But, at the same time, a huge chunk of the world's problems arise from a failure to communicate and coordinate intentions.

Therefore, if Zipipop can continue to develop services that vastly improve our abilities to share and coordinate intentions, then … we really can change the world :)

* (image sources unknown – I did try to trace them back. Let me know if they are yours)

Sharing Life

Zipiko has on a number of occassions been compared to Dopplr. Take this Techruch entry for example "Zipipop (from Finland) is a start-up that is developing Zipiko, a mobile service for sorting your social life on the go, as in, broadcast where you’ll be at a certain time in the day. Think Dopplr, but on a much more granular level perhaps."

And according to Dopplr's latest press release it “is leading the way in intention sharing services online." This is interesting to Zipipop, since we have previously blogged about Dopplr being an early example of what we are calling intention broadcasting systems (IBS). However, Dopplr is not a fully-formed IBS, since it lacks the fundamental 'coordination' phase; which means that you can easily end up getting too much direct and sometimes intrusive calls/messages. A complete IBS should be handling and coordinating the meetups more passively – something that Zipiko does well.

However, the Zipiko system is not able to let you know which city your buddies are going to be in until they have already arrived and shared an event. So it dawned on us that there is a good potential here for cooperation – especially since we are both in the business of intention sharing and we also happen to we live in the same neck of the woods.

So in the spirt of Zipiop's first official slogan 'Sharing Life', this is how it could work:

Dopplr allows people to know when they will be in the same city and then Zipiko allows them to easily arrange their get-togethers – kind of a Blogger/Twitter, macro/micro relationship.

@Dopplr posse – Let's meetup at somewhere, sometime soon: As Bogie says, "This could be the beginning of a beautiful relationship."

An Intention Broadcasting Model: Preliminary Thoughts

I have recently been developing our Intention Broadcasting (IB) concept into something approaching a more fully-fledged theory. My first objective was to come up with a model of how an intention broadcasting system (IBS) should work in a general sense. The second was to identify existing and future implementations of IBS-based services.

I initially studied some Situated Cognition theory to see if there were useful correlations and, out of the key principles, the following were of particular interest: affordances, problem solving, goals and intentions. And The Young-Barab Model (1998) of Dynamics of Intentions and Intentional Dynamics.

In any environment there are different kinds of affordances (possibilities for action) that allow us to carry out intentions to achieve certain goals. However, the process of reaching these goals is hindered by contextual problems that can only be solved on the fly and through interaction with the real world.

Intention Broadcast Systems – Key Phases

The key phases that I have identified in the dynamics of an IBS are as follows:

Intention: the agent has an intention to do something
Goal Adoption: agent sets out on a particular path to achieve the intended goal
Affordances: agent adopts an IBS as the best method of achieving intended goal
Broadcast Transmission*: agent passively broadcasts intention to target audience (avoiding multiple intrusive communications)
Reception: the target audiences tune into to receive relevant intention via streams (channels, groups, etc)
Censorship: a collaborative rating system is often required to help protect both the broadcaster and audience from bad intentions.
Coordination: systems for involved parties to overcome contextual problems though interaction and collaboration.
Outcome: Goal accomplished

*Ideally the target audience would all be actively using the service and receive the message passively or through system-based notifications; however, in the real world some people will need to be contacted via more conventional methods, eg – SMS & email; however, the IBS can at least automate the sending and collating of the messages and their responses.



First Sketch Comparing Conventional Strategies with the Dynamics of an Intention Broadcasting Model

The sketch above shows an example of how intention broadcasting is much better at solving some real-world problems. In this instance I have chosen to use organizing a get-together as an example, however, I will later go on to explain how it can work in other situations.

Agents A & B both intend to have a party and they adopt this as their Goal:

Agent A goes conventional and uses a combination of affordances (calling, SMSing and emailing) to let the audience (friends) know that he is planning (intends) to have a party. All these methods are intrusive and can make the receiver feel under pressure. The replies have to be manually collated, adjustments made, and updates sent multiple times. This is a laborious process and Agent A will eventually succeed in concluding the situation or the frustration will become overwhelming and the goal abandoned.

Agent B, however, opts to use the Zipiko intention broadcasting system. Agent B broadcasts the intention to have a party and her Zipiko friends can passively see the plan on the listings page and click to join. Friends can also be sent free SMS invites, even if they are not registered on the system. The system then automatically and instantly updates attendees on who is coming, sends reminders and informs about cancellations. Using the Event Messaging Board collaborative adjustments can be made right up to the last-minute.

So the benefits are clear, however, if a theory is to be successful it has to be proven to work in many different contexts.


INTENTION BROADCASTING IN THE REAL WORLD

IB systems can utilize any method of one-to-many combined with one-to-one ICT broadcasting strategies and almost any situation where you can define a clean intent/desire/need you can build an IBS to help out. And already aspects of intention broadcasting are appearing on the web. Here are some current examples:

Travel: Dopplr allows you to broadcast your intention to travel to a particular destination so that friends and colleagues can know where you are and 'serendipitously' meet up with you.

Real Estate: Igglo enables potential customers to broadcast their intention to live in a particular neighbourhood or even block and attempts to match the desire. Also, potential sellers can advertise their intention to sell their property (secret selling) in order to gauge the real market value; and if they see an offer then can’t refuse then all the better.

By shear chance both these services have also been developed in Finland. Finns are famous for not talking so maybe this more passive way of communicating is appealing to them ; )

Micro-lending and Peer-to-Peer Banking: Kiva.org is an organization that provides micro-lending to entrepreneurs around the globe. The entrepreneur will post (broadcast) how much they need and what the loan is for (generally from $250 to $500); you can select (tune into) the person, gender, country, type of business and elect to assist this person. Could this phenomomen could spread to conventional banking.

(Note: I am aware that there is a Finnish organization also involved in micro-lending but can't remember the name. If you know please add it to the comments).

In light of our open attitude (see previous entry) you will now be privileged to read, for the first time, about some complete IB-systems currently being concepted during Zipipop's 10% time. We reserve all rights to implement any of these ideas and if any financiers are interested in helping us we are all ears:

Buying/Selling (project codename: Share Swap): The customer broadcasts an intention to buy a product (either new or second-hand). Sellers see this intention and make direct offers. Buyers benefit in having to do no legwork, can see and compare offers in one place, and get more open independent expert advice.

Sellers benefit from the direct contact to active customers, a better understanding of customer needs, and save money on inefficient, and often unwelcome, general marketing. Both benefit from the collaborative feedback censorship system that rates people (as in Ebay); and transactions can easily be resolved in the coordination phase.

This can also be used to buy/sell trade or consultancy freelance work, eg – people always need skilled labour and organizations often need freelance work, but it is not always clear who to contact or what is a fair price. So they could broadcast their need for some freelance work. Freelancers could then tune into (via channels, groups, etc) the offers that are best suited to them. And the censorship filter helps customers avoid the cowboys (British slang for incompetent workers).

(13/09/08 - Check out for freecycle.org)

Personal Opinion Polls (codenamed: POPs): You intend to do something but you want feedback before doing so, eg – you want your friends to advise on which wedding dress you should buy; or which guy you should date.

The need for this kind of service is just starting to express itself on micro-blogging services. See here for an example.

Baby-sitting (codename Baby-sitting Project): Broadcast your need (intention for finding) a babysitter. Use the collaborative censorship rating to evaluate trustworthiness.

In fact, I have been playing with the concept of an Intention Exchange System that could encompass many IB needs in one service: like a stock exchange but with the trading based on intentions. Interested bodies could tune into all the different kinds of broadcasted intentions that are relevant to them and make offers. The exchange could be facilitated by swapping items/services of similar value, system credits (that could be exchangeable for real money), or via real world credit systems, eg – Paypal, etc.

(Relevant Off-Topic Sidetrack: Many years ago, when I was in the film business, I remember reading about a young filmmaker who had been touring his award-winning film around the world for a year. He consider the period his reward for all the hard work, but, just when he was getting all the attention and offers of more financing, he suddenly realized he could not answer the "What next?" questions that were flying at him. We are sure that Zipiko is going to be a big hit, and, therefore, we are already preparing to make the most of the opportunities this will bring our way; however, we are fully aware of the tremendous concentration of will and effort still required for many years to come to take Zipiko to where we want it to be.)


FINE TUNING THE WEB

So we can see a familiar pattern arising that can affect huge sections of web activity. IB essentially farms out (crowdsources) the work of searching for things on the web by matching needs with solutions in a much more efficient manner.

As I have demonstrated, aspects of intention broadcasting have been developing in a fragmented way for a while, however, with this new model it is now easier to identify and develop fully functioning IB systems. The next stage is to see how IB fits into the bigger picture regarding the emerging practices related to the semantic and pragmatic web.

And then that little question of making sure that 'ordinary' everyday people see the benefits and make the switch to such systems.

Zipiko will be the first full-on 'proof of the pudding'.

Organizing Get-togethers: Zipiko vs Micro-blogging

At the Mobile 2.0 conference in Barcelona, we were asked by an investor group why users could not use Twitter and other micro-blogging services to organize get-togethers. We have been asked the same question a couple of times since. Here is the answer:

The screen shot above shows Jyri Engström talking about how to use micro-blogging to get your friends together for a last-minute beer. However, the likes of Jaiku/Twitter are not ideally suited for this purpose, since they cannot: reach everyday friends, automatically collate responses, send reminders and inform about cancellations.

Needless to say Zipiko can and is doing these things. In addition, we have recently added event messaging boards, so that collaborative fine-tuning can be made right up to the last-minute, eg - the plan was to picnic, but it is pouring down, so invite them to your flat instead (a real-life example). We are currently considering the implications of allowing update comments to also be sent to attendees via SMS - but this will probably have to wait until we have sponsorship.

However, you can watch the video and listen to Jyri's many pearls of wisdom. Below I have outlined his key ideas in relation to Zipiko:

1. Define the social object round which your service is built:

intentions

2. Define the key verbs for that object:

see, join, share (11.9-2008)

3. Make the object shareable:

We already have perma-links to events past and present, we already have a prototype Apple Widget and are planning others, and are working on a strategy to link to Facebook Connect.

4. To grow your userbase, think about what can you provide in terms of a gift users can offer their friends:

more fun together / time / free SMS

5. Work out a business model where you charge the publisher, not the spectators:

Intention Ads / Pro Services / Sponsored SMS

Intention Broadcasting

Read published short paper on Intention Broadcasting

How an intention broadcasting system works compared more conventional forms of organizing

Abstract:

Social media innovations, together with rapidly improving data sharing methodologies, are enabling individuals and groups to instantly disseminate, or ‘broadcast’, messages across many diverse networks. This phenomenon, combined with the growing use of social media services for sharing and coordinating intentions, led me to develop the concept of “intention broadcasting”.

(Blog revised: 10 December 2009)

Intention Broadcasting is the process of sharing and coordinating intentions via computer-mediated systems.

It has similarities to status messaging but with the emphasis on the future.

A fully-functioning Intention Broadcasting system should also enable the intended audience to directly respond via a feedback loop that can directly affect the intention. For example, in relation to organizing an event the recipient should be able to indicate their intention to join up.

Intention Broadcasting – A Model for Computer-mediated Intention Sharing and Coordinating

In order to help make the following key phases easier to remember I have decided to run with the “broadcasting” metaphor and use related terms:

Goal: the agent has a need or desire that necessitates a desired outcome.
Options: the agent has various options based on the combined knowledge, skills and the perceivable affordances in the given environment.
Intention: the agent selects an intention towards achieving the goal.
Broadcast: the agent passively broadcasts their intention to a defined target audience (broad or narrow) via computer-mediated networks, e.g. social networking sites such as Facebook, Twitter.
Tuning: the targeted audiences are “tuned in” to receive relevant intentions. The tuning is done using any method or technologies that can help filter the intentions: groups, RSS, “constant searches” , API connections, etc.
Rating: if necessary a collaborative rating system can be used to help protect both the broadcaster and audience from bad intentions and potentially unreliable people, e.g. a bad plumber.
Coordination: systems for enabling the parties to overcome contextual problems though interaction and collaboration.
Outcome: Goal accomplished.



In light of the clear interest in this blog post by Jeremiah Owyang about the Intention Web, I thought I should start promoting my short paper on Intention Broadcasting that was published as part of the Proceedings of I-KNOW ’09 and I-SEMANTICS ’09 Conference 2-4 September 2009, Graz, Austria. It is basically a summary of my final MA thesis that I undertook at Media Lab, Helsinki, which is now part of the new Finnish Aalto University.

Read it here in Scribd or Download the PDF