#Situational #Awareness #Shopping

#Situational #Awareness #Shopping

Consider, currently we see things we want to buy through advertising or by seeing it in films or when around other people or places.

Why not; while having a coffee with a friend in their house you see a nice bowl and you say ‘buy bowl’. Your personal IoT ecosystem checks the area and finds three bowls, it asks ‘white bowl’ you say ‘Yes’ the bowl is ordered based upon your personal preference which could be Speed, Price, Colour or anything else, for this scenario it’s Speed it locates the nearest supplier and orders it for immediate delivery. You carry on chatting and the bowel is delivered to your home and waiting for you when you get home. Payment is automated, you unpack look at the bowel and say ‘Great Condition’ feedback allocated.

There are more scenarios in our Open Networking Ecosystem Protocol Patent which will be published soon.

Situational Awareness Shopping #UX

I’m just going to get this out there because there is a great deal of lying going on that IoT does not affect the UX profession and E-Commerce business.

IoT system design does not require UX wireframes as the are no GUI’s

The IoT is a complex ecosystem that not only changes interactions but also removes many of the common processes that have been adopted by people to use technology.

Situational Awareness Shopping #UI

Graphic User Interfaces are not a consideration for the IoT as the interactive methods used to select and buy are no longer through container websites, advertising (as a separate activity), payment gateways or any other existing copy of a shop.

digital versions of shops are irrelevant in a society run through situational awareness.

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Technology Key Opinion Leaders KOL Huawei MWC2017

What is a Key Opinion Leader?

The concept of KOL’s has been around in the pharmaceutical industry for a while and Elihu Katz in answers the question, “Who is an opinion leader?” One or more of these factors make noteworthy opinion leaders:

  • expression of values
  • professional competence
  • nature of their social network

Opinion leaders are individuals who obtain more media coverage than others and are especially educated on a certain issue. In the jargon of public relations, they are called thought leaders.

Social Media Key Opinion Leaders

So who are these people that can have such impact? I have peoples Twitter names below, the person responsible is @FacingChina for this program @HuaweiTechnologies.

@invinciblesaad (Pakistan), @mrbrown (Singapore), @shaanhaider (Middle East), @craigbrownphd (USA), @shapshak (South Africa), @gbengasesan (Nigeria), @userexperienceu (UK – me), @grattonboy (UK), @grattongirl (UK), @mrthaibox123 (UK), @profkevincurran (UK) @marshacollier (USA) @petershankman (USA) @glengilmore (USA) @scobleizer (USA), @alexpuig (Spain), @cscolari (Spain), @edans (Spain), @tomfgoodwin (UK), @charleneli (USA), @FarrukhNaeem (Middle East) if I’ve missed you off just message me

Being invited to be a Key Opinion Leader

When I was first contacted about attending the Mobile World Congress #MWC17 in Barcelona as a Key Opinion Leader #HuaweiMWC17, I was dubious. I’d never heard of the concept before and I just used social media as a route to test ideas and share information. Going back to my first blogging days I blogged because I had been offered a book deal and I did not want to entomb information in a book but rather wanted it to be freely available. I asked a bit more about it and did a huge amount of research to try and understand the concept.

The idea is quite enlightened, no one (as far as I know) is paid anything by Huawei, it’s a structured but flexible activity with amazing access to insider information including product launches, press briefings and private events. And for that access we are asked just to share what we think is relevant to our audiences. If we want to challenge anything they would like recourse and a chance to inform before we publish, you might say the experience is like being journalists with the same verification processes. Or perhaps

Key opinion leaders are a form of disruptive journalism a move from mass media to targeted media

About the Experience

There can be a pervasive and quite western sense of having arrived when being courted for a thing like being a KOL for the first time, recognition at last! But I find that gifts can be quite fragile, even if your opinion has got you the invite;

humility and flexibility is more valued, in fact it all comes down to attitude

What I found on arrival was a bunch of good hearted but highly focused people. After all, we are all communication people, we all consume huge amounts of complex information and most of us convert it into 140 characters for others to easily consume.

huawei mwc17 KOL

In the picture left to right from the back: @gbengasesan @craigbrownphd @invinciblesaad @userexperienceu me @FarrukhNaeem @shaanhaider (always in motion!) and @mrbrown

That is not to say that these are all Twitter folks, in fact the list includes blogs, Instagram, Facebook, YouTube, LinkedIn, Google+, Periscope and others. There were defiantly super stars present but in fact they were helpful and joyful people not divas in the slightest just really, really good at sharing opinions that resonate. In a world so focused on fame meeting people who are simply great at what they do and have a whole load of fun while doing it is breath of fresh air. Thanks to you all, it was exhausting but also fun.

What I Learned about @HuaweiTechnologies

From my perspective I’m not interested in technology of itself;

I’m interested in what technology can do to augment human existence

So I come at Huawei as an enabler of new dimensions in humanity, it is hardware to a small extent but its actually considerably more, it’s mental model and beyond.

Huawei has been blocked in several markets for economic, cultural and political reasons but they have not accepted this situation instead they have challenged themselves to think in an extensible way, to build infrastructure for services that don’t exist yet, but will fundamentally change the lives of humans. Clouds of CLOUD is fantastical, CloudMetro with open API access in its core it may be intended to enable package creation by Telcos but any decent enterprise architect will see it’s the critical access point for real-time, true ubiquity.

huawei mwc17 clouds to cloud

What most amazes me is just how reserved and understated Huawei has been about the advances it has made, it may be cultural, I know in Northern Europe its seen as crass and rude to say how good you are at something. From what I can see

Huawei has cracked the network side of Smart Living and true ubiquity

with #5G in 2020 humanity will be able to advance more dramatically by 2030 than it did in the last 100 years. Hold on to your seats, this ride will be wild.

About Karl Smith

Karl Smith is an inventor of open network IoT3 UbiNET which he has patented in the USA and a holistic transformation consultant more involved with how humans have to deal with technology than the technology itself.

A former Global Head of Mobility User Experience at Accenture and Partner, Global Head of Digital Design at Wipro Digital, current Chairman of the Human Centered Design Society and has relaunched or launched Design as a USP in six global enterprises.

He has always been fascinated by how technology can augment the lives of humans;

my desire was not to build things that humans already do but to find out how technology could evolve our human experience

He is still looking for the Gene Roddenberry future today where humanity pulls together and projects all of us the the next stage of evolution. Ubiquity or the IoT is a gateway point to that evolution so is highly engaged.

He has been involved in Human Centered Design his entire career from designing operating models, services, products to websites and mobile applications always reverting to the intended users to avoid waste.

At heart I’m an inquisitive person, unashamed of failure provided I learn and by learning continue to find unexpected solutions and delightful experiences for clients and users

Social Media Connections

Commercial Connections

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#IoT People in #London

#IoT People in #London

So I’m putting this list together of some really smart people I’ve come across recently as we all work towards making the open IoT a reality.

  1. Michael Bayler, Founder and Director, understands the true impact of IoT and aids clients prepare – Independent Consultant
  2. Erik Staaf, Managing Director at IOT-as-a-Service.com, what set him apart is he has actual case studies – Independent Consultant
  3. George Achillias, Digital Anthropologist, he understands the technology without driving clients to specific suppliers – Wipro Digital
  4. Karl Smith, CEO Paradigm Interactions, author and futurist, building a retail IoT test platform with 20% totally newly invented technology – Independent Consultant
  5. Brendan Mislin, Managing Director, total genius years ahead of the time – Accenture
  6. Jon Pearson, Co-founder & Director, an innovator involved in FinTech – Deutsche Bank
  7. Olena Kaplan, Senior Analyst, an innovator involved in HealthTech – Beecham Research
  8. Windahl Finnigan, design, research, strategy & innovation consultant, an innovator looking at the end to end experience – Independent Consultant
  9. Pete Trainor, Author, Speaker, Director of Human Focused Digital, an innovator looking at the end to end experience – Independent Consultant
  10. Nigel Willson, Global Strategist, involved in helping customers digitally disrupt and transform – Microsoft

This is a personal list and not exhaustive.

Independent Consultant can easily provide services, others work Client side for in-house teams or for Global Consultancies.

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#Situational #awareness drives open #IoT #Ecosystems not #visual #interfaces

The foundation for this thinking goes back to a notion of the ‘social life of things’. If things themselves exist and have a number of trajectories and states then those things also potentially have accessible and useful human touch points in the IoT.

Much of the interactions we humans have become used to are in fact simple touch-points to hidden and complex interactions within dispersed and non-interlinked (at the core) technology systems. This simplification process of creating a directed visual presentation layer enables us to maintain a simplified mental model around our interactions. However in IoT technologies the additional integration of voice, touch and thought require a full understanding of the primary cognitive models for each IoT device and an associated and integrated cognitive model, possible clashes or drop outs and load descriptions (for each constantly changing eco-system) by Thing and Cognitive Group. Only then can an interface be defined.

Situational networks with IoT devices services and humans

Situational networks with IoT devices services and humans

Above is a visual description of a set of Things available with a person walking through them projecting themselves, a simple human journey. However working in a local model gets the notion of Things and Cognitive Groups across. Each colour group represents a Thing, attempting to get our attention, each Thing does something different, a different set of interactions, activities, behaviours and outcomes. They can talk to each other or ignore each other. The person traversing the real world and IoT ecosystem walks through several fields of interaction, each time they enter a new field it communicates to them, availability, interaction, messaging (branding, cries for attention, warnings etc.). The first position P1 three touch-points seek engagement, by P2 it’s six touch-points, in P3 five touch-points seeking engagement.

There is no requirement for visual interfaces, in fact audio, smell or touch (vibration or texture) are more likely and in fact desirable to create the ambience for localised interaction and mental association.

Further the current cognitive models associated with the digital existence of tangibles may need to be reconsidered in the context of the IoT as it amalgamates previously separate constructs. It could simply be that the detailed component view we have constructed around daily interactions is no longer valid and we can simplify not only our interactive behaviour but also our descriptors by moving them to high level (directional and instructional avatar) understood constructs rather than the detailed process models we tend to use to live.

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#IoT #Ecosystems require #Ontologies of your #Products and #Services

Products and services associated with the IoT currently operate in closed ecosystems like Home Automation, in effect, they are simply networked products with linking software. Part machine to machine (M2M) and part human to machine or machine to human (H2M setup and observation and M2H alerts).

The IoT is an open ecosystem, made up of billions of product, services and people ecosystems.

While many people will associate an ontology with a website, software or information system, the key factor in IoT products or services is;

  • Information uniqueness
  • Information parity
  • Information exchange policies

IoT products and services also require

  • Governance frameworks
  • Security frameworks
  • Privacy/data storage frameworks

An ontology is a formal naming and definition of the types, properties, and interrelationships of the entities that really or fundamentally exist for a particular domain.

In order to digitize products and services for the IoT an open network, they are required to fit into several types of ontology including;

  • Global ontologies
  • Domain ontologies
  • Geographic ontologies

IoT digital productization

If you’re looking for advice on how your products or services can be made ready for the IoT please contact me.

About the Author

Karl Smith is Computer Scientist or as he describes himself a Creative Scientist. He has worked as an Instructional Designer, Information Architect, Innovator, User Experience Architect and Human Centered Design Consultant. He is also an entrepreneur, founder and director, CIO, CXO involved in startups, offering development, capability building (recruitment), global business development and global program management.

Karl Smith is an acknowledged leader in the field of Human Centred Design, User Experience and Usability and has been honoured with a Fellowship by the British Computer Society. He is also the Founder of several organisations including The User Centered Design Society in the UK.

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#Open #IoT with #Blockchain #AI and #BigData

Ubiquity (IoT) does not exist yet

There will be many people who will say it does exist and has working technologies, hardware and software.

The IoT is not a closed ecosystem related to one task or feature set like Home Management, but an open ecosystem

It’s very interesting to watch so much activity around selling the dream of the IoT when it does not exist yet. There are closed networks for battlefield CnC, managing device servicing and even consumer home automation. But these are all still structured around closed networks and don’t deliver the power or prosperity associated with the IoT. It would be better for businesses to sort out critical unique identification issues around their products and services to stage their data ready for conversion into IoT Products and IoT Services before playing at the bleeding edge of technology.

It is a common error in thinking to focus on closed system devices/products as the IoT (Ubiquity) however these are just stepping stones. However like Betamax or Nokia the best product or system does not always have longevity regardless of the hype. While devices are used to get across the point of various types of connections and networks being accessed they are no more than sensors and beacons in networks that follow old thinking. More importantly in a full implementation of the concept of Ubiquity (often described as the IoT) personal devices and networks may not even be owned anymore. The ownership of devices ceases to be important if you can own your IoT identity, can verify it and establish your own ecosystem of assets in Blockchain. The ownership of networks are a limiting factor on standardization, cost reduction and service access.

IoT is about the virtualisation of things, services and people as data, uniquely identifiable and shareable things

As with most things in technology it’s not the Software or Hardware that matters but the Data that is important. One clear concept that underwrites all future technologies is something that goes back to relational database design, the ability to create a view from separate tables or data sources either locally or through an Application Program Interface (API). Views are what makes Big Data useful, linking previously separated data sets together to deliver new insightful products and services.

IoT creates identification, Blockchain defines meaning, IA establishes API’s and Big Data creates value

But where do Humans fit into this? Well, humanity is being expected to pay for it all, without any engagement in how it will change their world and life experiences. There are huge numbers of companies developing device related products and services missing this essential engagement. With payment comes choice and humans rarely agree with someone else’s view of what’s good for them. Irrationality is to be Human, this odd notion that Humans are rational beings is the greatest fantasy there is and is constantly being disproven by businesses, organizations and government agencies who have spend large amounts of money on advertising, in some cases just sharing common sense.

If Humans can’t be forced to adopt Ubiquity, Blockchain, AI and Big Data, perhaps society can do what it’s always done and entice interaction and transaction. That means engaging beyond rational thinking and offering straight into cognition driven desires through situational awareness.

Humans will require situational awareness to interact with Virtual Reality Assets, automated by rules (someone sets) or seizing them by choice

None of the Government and Global Indices exist yet!

It’s important to know that unlike the web, there is no Ubiquity, ICANN or ruling authority. I would expect that to start with this would need to be set up at country level by Central Government. Governments will need to know what assets exist in order to tax them, in any case. Every asset from a glass jam jar to sport’s car will require ID’s and every component part of a bigger asset will require identification also.

IoT Identification would start at the BIRTH of the asset or person and establish a LIFE history for each asset until it’s DEATH

There is more to come regarding Cryptocurrencies, Blockchain and Asset Management, in the next instalment.

The article above was developed based upon the work of  The Ubiquity Open Standard Project http://ubi-net.us/

The Ubiquity Open Standard Project

It is imperative that Humanity does not leave the structure of Ubiquity (IoT) to businesses focused on a supremacy attitude to other Businesses (and their ecosystem products and services). If we do the human voice and our needs and desires are subjugated to simply another component, albeit the one that is constantly paying for everything without any input on how it works.

USOP Scientific Foundations

Distributed Cognition studies the ways that memories, facts, or knowledge is embedded in the objects, individuals, and tools in our environment. According to Zhang & Norman (1994), the distributed cognition approach has three key components: Embodiment of information that is embedded in representations of interaction Coordination of inaction among embodied agents. Ecological contributions to a cognitive ecosystem.

In Embodied Interaction Dourish -everyday human interaction is embodied; non-rationalising, intersubjective and bodily active. User, not designers, create and communicate meaning and manage coupling. Not just concerned with what people do, but also with what they mean by what they do and how that is meaningful to them. It reflects the sets of meanings that can be ascribed to objects and actions over those objects as part of a larger task or enterprise

Cognition the key to the mind

How people Understand what they can do is, by comparison a Diagnostic Methodology(goals, adaptations, conventions) with what they already know by accessing the Active Narrative patterns they have created in their own minds according to Smith (2005). Many of the Human interactions with Ubiquity will depend upon Situated Awareness and as such how human mind interpret and understand the complex information they are absorbing is critical to safe interaction and appropriation.

Cognition Structures

For the purposes of this standard, we will be avoiding reliance on neuroscience philosophies.

Cognition Groups create a communication paradigm, they carry intention, meaning, risks and benefits. Within a Cognitive Group are Cognition Patterns.

  • Some Cognition patterns are common, shopping basket etc.
  • Some Cognition Patterns are social by Family, Sports Team etc.
  • Some Cognition Patterns change without notice

For example Guided Interaction, existing websites offer guided interaction – simplified cognitive pattern encapsulating a plethora of interacting technology and data systems: Shopping Basket – This representation allows for distributed cognition > appropriation > cognitive pattern forming understand– once a user has used a shopping basket they will understand how to use them and generalize: transferable cognitive pattern

Some of the issues with the IoT

  • There is no standard of interactivity for humans in the IoT – not a problem if passive background machine-to-machine. A very big problem if actively interacting with humans, who are all different and can create their own meanings for example LOL. Laugh out Loud or Lots of Love, which can have devastating social impact if used between generations.
  • How does a user form any cognitive patterns from an invisible system?
  • IoT combines known patterns as hidden machine-to-machine communications that can create mistrust and security fears
  • Detailed component view we have constructed around daily interactions is no longer valid
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#Dependant on #dumb #data and is making #bad #choices? #Douglas #Adams

Data, Big Data, Artificial Intelligence

Clients don’t understand their customers, they just think they do!

It’s not for the lack of trying or spending millions on developing and building huge data systems, the problems are many but can be traced back to one simple thing;

“Data only describes part of the what is happening and almost nothing of the why, let alone what should be done to change the situation”

Clients have been sold that data gives them the answers and that big data will close the loop for them to understand the upstream and downstream thinking of their customers, WRONG.

Douglas Adams noticed the real problem

Douglas Adam’s said  “But even Amazon has only got part of the picture. Like real world shops, they can only record the sales they actually make. What about the sales they don’t make and don’t know that they haven’t made because they haven’t made them?” Douglas Adams “The Salmon of Doubt” by Permission of Pan Macmillan. That pretty much covers the problem if you extrapolate the thinking for Data Analytics, Big Data or even Artificial Intelligence based Data and Decision systems.

“Data is binary a yes or no (even complex views), it does not capture motivation, intention, desire, cognition, distraction or any other human reasoning or pattern”

child pretending to be robot data prentending to be truth
child pretending to be robot data prentending to be truth

A child pretending to be a robot just as data pretends to be the truth, he is a kind of robot and data is a kind of truth

A pure Data approach to understanding customers will provide the wrong data because data is an absolute and people are not. Even with Artificial Intelligence it only works from the starting point you give it, if any of the perimeters are wrong the whole data sample is wrong.

Guide to understanding Customers

  • Data, Big Data, Artificial Intelligence – Tells you what
  • People in target demographic – Tell you why

People in target demographic

User research answers the question Why have we not made the Sale? through the only people equipped to answer the question, consumers. This is not market research, its scientific without a predetermined agenda or outcome. User Research is a problem solving method that offers solutions by finding the right questions, finding the right people and asking the questions in a way that does not lead or direct the answers.

There are right questions and people to ask?

This may sound a little Adamsesque (if you ask the answer to Life, the Universe and Everything you get 42, because it the wrong question). Getting the questions or setup wrong is the real problem with an Analytics approach to a Diagnostic process. While it may be reasonably expected by a seller to directly ask, why didn’t a visitor become a buyer or register. Visitors may be asking themselves where am I? what does this do? this does not make sense, should that be happening? technology, why do I bother? Why has my screen gone pink? None of these “in mind” experiences are expressed in the data or even a consideration for the data schema design.

A visitors experience is not only defined by the online environment but they bring past experiences, desires and doubts about their current experience. Without these insights from research, it is difficult for clients to grasp potential problems, gain a good return upon their investment (ROI), innovate to fit the market and consumer needs or break into a new market sector.

Reasons that Data is Trusted and People are Not

It appears to come down to scale and a short sighted approach to costs. Buying an Analytics Solution appears to tick all the boxes, even if in reality it does not. While using Research Companies or in-house Research Teams seems expensive in comparison.

“The real trick is to understand you need both, you always did”

retro robot toys, not what you expect when you say robot today
retro robot toys, not what you expect when you say robot today

When I first started using Web Position Gold (the analytics tool), bought by Webtrends long before Google Analytics existed or the current proliferation of products promising the impossible, we used it to spot trouble only. We would then do some user testing in the area, working out possible failure scenarios, from there we would suggest two or three solutions and build them for A/B testing to see what worked and what did not. Everything was monitored and all the data from both analytics and user testing was collated into one final solution. Sometimes there was a single resolution, a re-architecting of a section, in one project I kept 16 pathways active because they all delivered transactions for different types of customers.

The thing is just as there is no absolute way to find out the problem, resolution or adaptive innovation except byDiagnostics a digital and human activity.

Diagnostics

[Data+Human+Solution+Testing=Resolution]

+

[Feedback+Data+Human=Adaptive Innovation]

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#Cognition #Clash in the #IoT #SXSW

Thank you to everyone who attended our (Karl Smith and Thom Heslop) talk at SXSW, it’s the start of a long road into a really complex and contextual problem. But being silent in the crowd as the King walks by with no clothes on is not an option, peoples lives, futures and prosperity is at risk, not to mention the risk of multi-trillion dollar lawsuits that can follow by knowingly distracting people who are engaged in critical tasks.

Cognition Clash in the IoT at SXSW16
Cognition Clash in the IoT at SXSW16

The IoT – Internet of Things (Ubiquity) is the next great opportunity for commerce to engage with business enterprises and customers. However, there is no unified approach to the mental load between physical interaction, mental interaction and digital interaction. This cognitive landscape is inhabited by associated experiences that gel human behaviour and machine interfaces through, touch, mouse and keyboard. The usage of sight, voice and thought create new complexities and risks which have until recently been the subject of defence technologies (battlefield and strategic), where clear outcomes and prescribed mental models exist.

IoT clash girl dies
IoT clash girl dies

The diversification of these touch points and multi-point human logic models clash and derail human thinking patterns.

We are looking for people and their knowledge to help create an Ubiquity Open Standard. We are doing this because no one else has noticed this fundamental error in thinking, the hoping that product based companies will work together in creating common standards that are driven by an understanding of human thinking capabilities, cognitive models, relational thinking and machine interactions is unlikely.

While product manufactures continue with supremacy attitude to other ecosystem products and services,

“the human voice and our needs and desires are subjugated to simply another component”

albeit the one that is constantly paying for everything without any input on how it works.

Some Foundations (the rest will go in a technical paper)

Distributed Cognition studies the ways that memories, facts, or knowledge is embedded in the objects, individuals, and tools in our environment. According to Zhang & Norman (1994), the distributed cognition approach has three key components: Embodiment of information that is embedded in representations of interaction Coordination of enaction among embodied agents. Ecological contributions to a cognitive ecosystem.

In Embodied Interaction Dourish -everyday human interaction is embodied; non-rationalising, intersubjective and bodily active.  User, not designers, create and communicate meaning and manage coupling. Not just concerned with what people do, but also with what they mean by what they do and how that is meaningful to them. It reflects the sets of meanings that can be ascribed to objects and actions over those objects as part of a larger task or enterprise

Cognition the key to the mind, how people understand what they can do is by comparison a Diagnostic Methodology (goals, adaptations, conventions) with what they already know by accessing the Active Narrative patterns they have created in their own minds according to Smith (2005).

Cognition Patterns Cognition Clash in the IoT different people think differently
Cognition Patterns Cognition Clash in the IoT different people think differently

Cognition Groups create a communication paradigm, they carry intention, meaning, risks and benefits.

  • Some Cognition patterns are common, shopping basket etc.
  • Some Cognition Patterns are social by Family, Sports Team etc.
  • Some Cognition Patterns change without notice

Guided Interaction, existing websites offer guided interaction – simplified cognitive pattern encapsulating a plethora of interacting technology and data systems: Shopping Basket – This representation allows for distributed cognition > appropriation > cognitive pattern forming understand– once a user has used a shopping basket they will understand how to use them and generalize: transferable cognitive pattern

Some of the issues with the IoT

  • There is no standard of interactivity for humans in the IoT – not a problem if passive background machine-to-machine. A very big problem if actively interacting with humans, who are all different and can create their own meanings for example LOL.
  • How does a user form any cognitive patterns from an invisible system?
  • IoT combines known patterns as hidden machine-to-machine communications that can create mistrust and security fears
  • Detailed component view we have constructed around daily interactions is no longer valid

Some of our initial research

IoT Design Principals

  • What is device / service for?
  • Where will it be situated?
  • When will it be triggered?
  • What other devices will it be interacting with?
  • Where can it clash?
  • Security? – * Lack of security – Shodan
  • Design Principal: “Do No Harm

IoT Design Risks

Context is critical

  • Situational interaction problems for consideration

The following barriers reduce our ability to understand the situation

  • Perception based on faulty information processing
  • Excessive motivation – over motivated to the exclusion of context
  • Complacency
  • Overload
  • Fatigue
  • Poor communications

A possible solution

  • Avatar (can be visual, sound, texture, smell, taste or a combination) – smart use of Artificial intelligence (AI), where the users cognitive interface is patterned on their unique cognition pattern through a learning algorithm
  • This avatar should be directional and instructional like digital signage
  • This avatar should respond to the users behavioural interaction and should fall away gracefully as users behaviour becomes more ‘expert* In effect it should be a learning system – learns from the users rather than based on static rules
  • For example the AI that George Hotz has built into his self driving car while not the answer points to the kind of thinking required to find the answer, don’t tell the machine to watch and learn from a human and then carry out your task (from 3.33 to 5.04) “the point is to drive naturally like a human, not some engineer’s idea of safety“. For anyone who then thinks this is the final solution, please let us know why you think driving a car is like cooking dinner or navigating the street?

The Full SXSW Talk is on YouTube

Connect to the speakers on LinkedIn here Karl Smith and Thom Heslop

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#Cognition #Clash in The #Internet of #Things

I’m speaking at SXSW Interactive 2016 on Cognition Clash in The Internet of Things, if your in Austin, TX let me know?

The IoT is the next great opportunity for business enterprises to engage with customers. However there is no unified approach to the mental load between context of use, physical interaction, mental interaction and digital interaction. This cognitive landscape is inhabited by associated experiences that gel human behavior and machine interfaces through, touch, mouse and keyboard. The usage of sight, voice and thought create new complexities and risks which have until recently been the subject of defense technologies, where clear outcomes and prescribed mental models exist. The diversification of these touch points and multi-point human logic models clash and derail human thinking patterns.

http://schedule.sxsw.com/2016/events/event_PP47495

Hashtags: #sxsw #IoTdesign

Sunday, March 13
12:30PM – 1:30PM

JW Marriott 
Salon FGH
110 E 2nd St

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#UX #cognitive #interactions patterns for #IoT by #Gestalt

Principles

Pre-accepted and trusted visual standards are vital to user acceptance and experience as they encourage adoption of technology systems. This is vital so that users don’t need to learn new or counter intuitive interaction behaviours.

Overview

Just as the creators of hypertext transfer protocol (http) were able to attribute their invention to Vannevar Bush’s ‘Memex’ so user interface architects are able to attribute the key concepts of user interface structures to principals defined by Gestalt. The following explains the key principals of user interface design as key patterns based upon Gestalt principals.

Karl Smith’s Research

The psychology of visual location, shape  and colour are critical  to enable user to understand and interpret their location and expectations of use in any given area. My research from 2002 defined additional aspects as ‘biographical templates’ that establish key perceptions and personal drivers which I linked to persona’s.

Key patterns

Law of continuation

Continuation is the eye’s instinctive action to follow a direction derived from the visual field. For example, in Figure 1.1 our eyes follow the rail tracks from the left of the picture to the top or vice versa, with Figure 1.2 the eye follows the text box layout.

Rail tracks directing users view
Figure 1.1: Rail tracks directing users view
Text boxes directing users view
Figure 1.2: Text boxes directing users view

 

Law of figure-ground

We distinguish the foreground and background in a visual field.  Two different foreground colours let the viewer perceive different things from the same illustration, as illustrated in Figures 2.1 and 2.2. If our focus (foreground) colour is black, then in the Figure 2.1, you can see a vase.  In Figure 2.2, when the background is black, we see two faces.

Vase
Figure 2.1: Vase
Two Faces
Figure 2.2: Two Faces

Law of closure

Open shapes make the individual perceive that the visual pattern is incomplete and the sense of incompletion serves as a distraction to the learner.” Our minds will tend to close gaps and complete unfinished forms. In Figure 3 the letters used to form the word “INCOMPLETE” are sliced into parts but our minds complete the unfinished forms.

Law of Closure
Figure 3: Law of Closure

Law of balance / symmetry

A visual object will appear as incomplete if the visual object is not balanced or symmetrical.  A psychological sense of equilibrium, or balance, is usually achieved when visual ‘weight’ is placed evenly on each side of an axis for example, Figure 4.1 illustrates visual balance but in Figure 4.2 the image appears unbalanced.

Balance Figures Blocks and Web page template
Balance Figures 4.1: Blocks and Web page template
Imbalance Blocks and Web page template
Imbalance 4.2: Blocks and Web page template

Law of focal point

Every visual presentation needs a focal point, called the centre of interest or point of emphasis. This focal point catches the viewer’s attention and persuades the viewer to follow the visual message further. Figure 5.1 shows how a differently shaped element appears to protrude out from among other elements and draws attention, 5.2 create high impact.

Changing Shapes
Figure 5.1: Changing Shapes
High impact
Figure 5.2: High impact

Law of isomorphic correspondence

All images do not have the same meaning to us, because we interpret their meanings based on our experiences.  If we were to see the image in Figure 6 on a computer screen, we would interpret its meaning as a help or question icon, even if we could not understand the German word “Hilfe” because we associate a question mark with ‘help’ based on past experience.

Help Icon
Figure 6: Help Icon

Law of proximity

The law of proximity states that items placed near each other appear to be a group. Viewers will mentally organise closer elements into a coherent object, because they assume that closely spaced elements are related and those further apart are unrelated. In Figure 7, people mentally arrange the sign in component together as a form.

Hotmail login mind base joining of form
Figure 7 Hotmail login mind base joining of form

Law of unity / harmony

Unity implies that a congruity or arrangement exists among the elements in a design; they look as though they belong together, as though there is some visual connection beyond mere chance that has caused them to come together.  If the related objects do not appear within the same form, the viewer will consider the separate objects to be unrelated to the main visual design, leading to confusion. Figure 8.1 and 8.2 are examples of unity in presentation where all of objects are arranged together into a unified form.

Hotmail, password problems
Figure 8.1: Hotmail, password problems
Apple, password problems
Figure 8.2: Apple, password problems

Law of Similarity

Similar objects will be counted as the same group and this technique can be used to draw a viewer’s attention. Below in Figure 9 the viewer can recognise a triangle inside the square, because these elements look similar and thus part of the same form.

Figure 9: Similarity creates a focal point

Law of Simplicity

When users are presented with visuals, there is an unconscious effort to simplify what is perceived into what the viewer can understand. The simplification works well if the graphical message is already uncluttered, but if the graphics are complex and open to interpretation the simplification process may lead to unintended conclusions. The example below Figure 10:1 shows the Plough star grouping which people can naturally join together, while Figure 10:2 just shows the Sky

Star group the Plough
Figure 10.1: The Plough
The sky
Figure 10.2: The sky

References

Chang, D., Nesbitt, K., V., Australian Computer Society, 2006. Developing Gestalt-based design guidelines for multi-sensory displays. MMUI ’05: Proceedings of the 2005 NICTA-HCSNet Multimodal User Interaction Workshop – Volume 57 , Volume 57.

Kearsley, G., Campbell, R., L., Elkerton, J., Judd, W., Walker,  J., SIGCHI conference. 1998. Online help systems: design and implementation issues (panel). CHI ’88: Proceedings of the SIGCHI conference on Human factors in computing systems.

Flieder, K., Modrritscher, F., CHI Montreal 2006. Foundations of a Pattern Language based on Gestalt Principals.

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