Welcome!

Agile Computing Authors: Pat Romanski, Zakia Bouachraoui, Elizabeth White, William Schmarzo, Liz McMillan

Related Topics: Agile Computing, Machine Learning

Agile Computing: Article

Ajit Jaokar's Mobile Web 2.0 Blog: What is "Mobile Web 2.0"?

I see Web 2.0 as the Intelligent Web or 'Harnessing Collective Intelligence'

I see Web 2.0 as the Intelligent web or ‘Harnessing Collective Intelligence.' Mobile Web 2.0 extends the principle of 'Harnessing Collective Intelligence' to restricted devices. The seemingly simple idea of extending Web 2.0 to mobile Web 2.0 has many facets, for instance:


a) What is a restricted device?
b) What are the implications of extending the web to restricted devices?
c) As devices become creators and not mere consumers of information – what categories of intelligence can be captured/harnessed from restricted devices?
d) What is the impact for services as devices start using the web as a massive information repository and the PC as a local cache where services can be configured?

 
Restricted devices: A broad definition of a ‘restricted device’ is not easy. The only thing they all have in common is - ‘they are battery driven’. But then – watches have batteries?

A better definition of restricted devices can be formulated by incorporating Barbara Ballard’s carry principle. Thus, a restricted device could now be deemed as: 

a) Carried by the user
b) Battery driven
c) Small (by definition)
d) Probably multifunctional but with a primary focus
e) A device with limited input mechanisms (small keyboard)
f) Personal and personalised BUT
g) Not wearable (that rules out the watch!). But, there is a caveat, a mobile device in the future could be wearable and it's capacities may well be beyond what we imagine today. The input mechanism in the future will not be a key stroke on such devices, but a movement or sound. So, this is an evolving definition.

Finally, there is a difference between a ‘carried’ device and a ‘mobile device which is in a vehicle’.

For example – in a car, a GPS navigator is a ‘mobile device’ and in a plane, the in-flight entertainment screen is also ‘mobile’. However, both these devices are not ‘carried by a person’ and do not have the same screen/power restrictions as devices that are carried by people.

However, whichever way you look at it, it's clear that the mobile phone is an example of a restricted device. From now on – we use the definition of mobile devices interchangeably with ‘restricted devices’ and the meaning will be clearer in the context.

Extending the web to restricted devices:  It may seem obvious - but Web 2.0 is all about the ‘web’  because Web 2.0 could not have been possible without the web. Thus, in a ‘pure’ definition – Web 2.0 is about ‘harnessing collective intelligence via the web’. When we extend this definition to ‘mobile Web 2.0’ – there are two implications:

a) The web does not necessarily extend to mobile devices
b) Even though the web does not extend to mobile devices, intelligence can still be captured from mobile devices.

The seven principles of Web 2.0 speak of this accurately when they discuss the example of the ipod/iTunes. The ipod uses the web as a back end and the PC as a local cache. In this sense, the service is ‘driven by the web and configured at the PC’ but it is not strictly a ‘web’ application because it is not driven by web protocols end to end(ipod protocols are proprietary to Apple).

Thus, the characteristics(distinguishing principles) of mobile Web 2.0 are:

a) Harnessing collective intelligence through restricted devices i.e. a two way flow where people carrying devices become reporters rather than mere consumers
b) Driven by the web backbone – but not necessarily based on the web protocols end to end
c) Use of the PC as a local cache/configuration mechanism where the service will be selected and configured

Another way to look at this idea is to consider what is NOT mobile Web 2.0. ‘Broadcast’ content generated by the media industry which users are passively expected to consume: is not mobile Web 2.0. That includes most ringtones, most games, movie clips etc. Anything which does not have a user generated component. Of course, I welcome your comments on this topic.

 
Restricted devices: A broad definition of a ‘restricted device’ is not easy. The only thing they all have in common is - ‘they are battery driven’. But then – watches have batteries?

A better definition of restricted devices can be formulated by incorporating Barbara Ballard’s carry principle. Thus, a restricted device could now be deemed as: 

a) Carried by the user
b) Battery driven
c) Small (by definition)
d) Probably multifunctional but with a primary focus
e) A device with limited input mechanisms (small keyboard)
f) Personal and personalised BUT
g) Not wearable (that rules out the watch!). But, there is a caveat, a mobile device in the future could be wearable and it's capacities may well be beyond what we imagine today. The input mechanism in the future will not be a key stroke on such devices, but a movement or sound. So, this is an evolving definition.

Finally, there is a difference between a ‘carried’ device and a ‘mobile device which is in a vehicle’.

For example – in a car, a GPS navigator is a ‘mobile device’ and in a plane, the in-flight entertainment screen is also ‘mobile’. However, both these devices are not ‘carried by a person’ and do not have the same screen/power restrictions as devices that are carried by people.

However, whichever way you look at it, it's clear that the mobile phone is an example of a restricted device. From now on – we use the definition of mobile devices interchangeably with ‘restricted devices’ and the meaning will be clearer in the context.

Extending the web to restricted devices:  It may seem obvious - but Web 2.0 is all about the ‘web’  because Web 2.0 could not have been possible without the web. Thus, in a ‘pure’ definition – Web 2.0 is about ‘harnessing collective intelligence via the web’. When we extend this definition to ‘mobile Web 2.0’ – there are two implications:

a) The web does not necessarily extend to mobile devices
b) Even though the web does not extend to mobile devices, intelligence can still be captured from mobile devices.

The seven principles of Web 2.0 speak of this accurately when they discuss the example of the ipod/iTunes. The ipod uses the web as a back end and the PC as a local cache. In this sense, the service is ‘driven by the web and configured at the PC’ but it is not strictly a ‘web’ application because it is not driven by web protocols end to end(ipod protocols are proprietary to Apple).

Thus, the characteristics(distinguishing principles) of mobile Web 2.0 are:

a) Harnessing collective intelligence through restricted devices i.e. a two way flow where people carrying devices become reporters rather than mere consumers
b) Driven by the web backbone – but not necessarily based on the web protocols end to end
c) Use of the PC as a local cache/configuration mechanism where the service will be selected and configured

Another way to look at this idea is to consider what is NOT mobile Web 2.0. ‘Broadcast’ content generated by the media industry which users are passively expected to consume: is not mobile Web 2.0. That includes most ringtones, most games, movie clips etc. Anything which does not have a user generated component. Of course, I welcome your comments on this topic.

More Stories By Ajit Jaokar

Ajit Jaokar is the author of the book 'Mobile Web 2.0' and is also a member of the Web2.0 workgroup. Currently, he plays an advisory role to a number of mobile start-ups in the UK and Scandinavia. He also works with the government and trade missions of a number of countries including South Korea and Ireland. He is a regular speaker at SYS-CON events including AJAXWorld Conference & Expo.

Comments (8)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...