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Human Centered Computing 
IFI7172, Lesson 7 
@ Sónia Sousa, 2014 1
Objective 
• The objective of this lesson is to 
– Address the fundamental notions behind the 
Diffusion of Innovation theory. 
• Lecture (45m) 
– Finish the second case study 2 (task 3); (45m) 
– present the fourth and final reading assignment. 
(5m) 
@ Sónia Sousa, 2014 2
DIFFUSION OF INNOVATION 
Fundamental notions 
@ Sónia Sousa, 2014 3
Contextualization 
• So… yesterday we played a reflection “game” 
– Match initial propose and validated Heuristics 
with layers of development 
• Conclusions
Main Ideas 
• It is unrealistic to match 
– Heuristics with layers of development 
• As all layer are intertwined 
– And take parte of a bigger part 
» The “HUMAN” 
– Some heuristics need to come together 
– As one is a complement of the other and VS 
• Some heuristics can be implemented from different 
development perspectives 
– Providing a technical affordance (lower layer) 
– Fostering a personal/individual perception (upper layer)
Main Ideas 
• It is unrealistic to assess heuristics as 
– Positive or negative (+/-) in terms of influence as 
• This influence depend on the user perception 
– How user perceive the visual cues provided by the technical part 
of the system 
– How user perceive the visual cues provided by the socio part of 
the system 
» the context of use and the goal desire 
• Social, professional, educational; and 
• On what I expected to gain when using it 
• Social status 
• Competency (knowledge or skills) 
• Time efficiency
Technology acceptance model 
• Connection with our finds 
– When we design a STS we design it to be 
adopted/accepted 
• But, that not necessary happens 
– There is a gap between goal desire and action 
intentions
Technology acceptance model 
• This model has 2 main ideas behind 
– HOW and WHEN they they will use it 
• Our findings say 
– How depends on 
• How we use 
– Context 
» Social, 
professional, 
educational 
– The need for using 
» Õis example 
– When depends on 
• Our expectations 
– What we gain when 
using it 
» Social status 
» Competency 
(knowledge or 
skills) 
» Time efficiency
Technology acceptance model 
• What we have learned 
– First version of TAM replaced 
This model was upgraded 
until 2003 - UTAUT 
• TRA’s measures attitude; and 
• TPB links beliefs and behaviors by 
• TAM added the technology acceptance measures 
– ease of use, and usefulness (pragmatic/practical) 
– 2007 
• Bagozzi proposes The Legacy of the Technology 
Acceptance Model and a Proposal for a Paradigm Shift
TAM paradigm shift 
• Our intentions are 
– triggered by Goals (expectations) that regulates 
• our intentions to perform an activity; 
– influenced (+/-) perceptions 
• Self-regulation external factors 
• Our intentions reflect 
– By our actions (more or less predispose to) 
Social or self-conscious emotions; social identity; 
caring, love, and empathy 
õis
Overall vision UTAUT 
Self-regulation external factors 
Unified theory of acceptance and use of 
technology 
Action desires 
(predisposition to) 
Decide to act 
more or less 
Observable visual cues 
Social or self-conscious emotions; social identity; caring, love, and 
empathy
Diffusion of innovation theory 
• Connection with our finds as 
– Roger research claims that 
• adoption and adaptation of usability evaluation 
methods 
– cannot be fully understood devoid of context 
» As they do not offer the 
» contextual factors such as 
• application domains, 
• organizational factors and project constraints 
– Do not help to understand 
» The gap between intentions to use and real use 
» The Self-regulation external factors
Diffusion of innovations 
• Key questions: 
– What is the rate of adoption and innovation? 
– What variables affect this rate? 
– How does policy affect diffusion? 
– How consumers adopting the new technology
Diffusion of innovation 
• Emerges from the diffusion concept 
– The act of spreading something more widely 
• (1) Adoption of innovation 
• (2) Technology transfer 
• This theory focus on 
– explaining how, why, and at what rate new ideas 
and technology spread through cultures
Diffusion of Innovation 
• An innovation is 
– an idea, practice, or object that is perceived as 
new by an individual or other unit of adoption. 
• Diffusion is defined 
– as the process by which 
Everett Rogers view 
• (1) an innovation; is 
• (2) communicated through certain channels; 
• (3) over time; and 
• (4) among the members of a social system.
How a new idea is spread 
• Elements that influence the spread of a new 
idea: 
– Innovation 
– Adopters 
– Communication channels 
– Time 
– Social system 
• This process relies heavily on human capital
Innovation happens when 
• An new idea, practice, or object is perceived 
as new by an individual 
• Characteristics for adopt innovation 
– Potential adopters evaluate an innovation based 
on: 
• The perceived efficiency 
• Compatibility with the pre-existing system 
• Efforts expectancy or learnability, 
• Trialability or testability 
• Facilitation conditions
So adopter have 
• Their role in How new ideas are spread. 
– Starts in the Adopters 
• Can be individuals; or 
• Organizations (businesses, schools, hospitals, etc.), 
• Social networks clusters; or 
• Countries. 
• They help in the diffusion process 
– To assess 
• (1) an innovation; and 
• (2) communicated through certain channels; 
– Instigate other adopter to adopt the innovation 
• (3) over time; and 
• (4) among the members of a social system.
Diffusion of innovations 
• Elements that influence the spread of a new idea: 
– Adopters 
• Innovators 
• Early adopters 
• Early majority 
• Late majority 
• Laggards 
Accept innovation 
Fast 
Slow 
– Communication channels 
• channels that allows you to transfer information from one 
unit to the other in a efficient way
Diffusion of innovations 
• Other elements that influence the spread of a 
new idea: 
– Time 
• Time is a variable necessary for innovations to be adopted; 
– Technology adoption rarely comes instantaneously. 
– the adoption degree in time is measured by 
» time of adoption 
» number of new product adopted in a interval of time 
– Social system combine 
• external influences 
– mass media, organizational or governmental mandates; and 
• internal influences 
– strong and weak social relationships, distance from opinion 
leaders.
There are different profiles of adopter some adopt innovation relatively 
earlier than others 
ADOPTERS
Type of adopters 
Innovators 
• the first individuals to adopt 
an innovation. 
– are willing to take risks, 
• Profile: 
– young in age, 
– Highest social class, 
– Great financial lucidity 
– closest contact to scientific 
sources 
– Interact with other 
innovators. 
Early adopters 
• Second category of individuals 
who adopt an innovation 
– Take the leadership role among 
other adopters 
• Profile 
– young in age 
– higher social status, 
– more financial lucidity, 
– advanced education, 
– more socially forward than late 
adopters
Type of adopters 
Early majority 
• Adopt an innovation after a 
varying degree of time. 
– Third in adoption curve 
• Innovators/early adopters 
• Profile: 
– Slower in the adoption 
process, 
– above average social status, 
– contact with early adopters, 
– show some opinion 
leadership. 
Late majority 
• adopt an innovation after the 
average member of the 
society. 
– Approach innovations with a 
high degree of skepticism 
• Profile: 
– typically skeptical in the 
adoption 
– below average social status, 
– very little financial lucidity, 
– late contact with the majority 
of adopters 
– Very little opinion leadership.
Type of adopters 
Laggards 
• the last to adopt an 
innovation. 
– have an aversion to change 
• Profile: 
– advanced in age. 
– tend to be focused on 
“traditions”, 
– lowest social status, 
– lowest financial fluidity, 
– Contact only family and close 
friends, 
– show little to no opinion 
leadership. 
• Innovators 
• Early adopters 
• Early majority 
• Late majority 
• Laggards 
Accept innovation 
Fast 
Slow
Adopter classes 
• Innovators - 2.5% 
• Early adopters – 13.5% 
• Early majority – 34% 
• Late majority – 34% 
• Laggards – 16%
Innovation success 
• Relative advantage 
– Success is related with 
• appeal to adopter needs 
• Compatibility 
– consistent degree 
• Adopt existing values; and 
• Adopt past experience 
• Complexity 
– perceived degree of 
• difficulty to understand and 
use 
• Trialability 
– make trials easy for new 
products 
• without economic risk to the 
consumer 
• Observability 
– Social visibility degree 
• For using a new product to 
friends and neighbours
What to observe 
• Hardware 
– the physical and tangible aspects of a product 
• Software 
– Understanding individuals’ values and lifestyles 
• Characteristics that encourage rejection 
– Value barrier 
– Usage barrier 
– Risk barrier
What to observe 
• The value chain 
Cockton, G., & 
Vermeeren, A. (2013). 
– By creating a‘value chain’ we are assuring 
• Our differentiation in the market because we are 
– Adding critical attributes that are important to the consumer 
• Economic determinants 
– Benefits 
• Costs 
• Risk and uncertainty/information 
• Environment and institutions 
• market and/or regulations 
Griliches’ (1957)
What to observe 
Personality and attitude 
• Empathy 
• Ability to deal in abstraction 
• Rationality 
• Intelligence 
• Favorable attitude towards 
change 
• Ability to cope with uncertainty 
• Favorable attitude towards 
education 
• Favorable attitude towards 
science 
• High aspirations 
Communication variables 
• Social participation 
• Interconnectedness with the 
social system 
• Cosmopoliteness 
• Mass media exposure 
• Exposure to interpersonal 
communication channels 
• Knowledge of innovations 
• Opinion leadership 
• Belonging to highly 
interconnected systems
The Adoption – Decision Process 
Everett Rogers 
Knowledge 
Persuasion 
Decision 
Implementation 
Confirmation
Communication channels 
Diffusion of innovation model. 
Source: Rogers (1995)
Diffusion of Innovation 
READING ASSIGN 4
Reading assignment 4 
• Selecting the papers 
– see the resources available in eliademy 
• Note: 
– You can use your own sources. It is up to you. 
• But please justify 
• After selecting the article to read 
– Go to ID Key concepts 
– Verify if no one else chose the same article; and 
• If not 
– add your name and source to the list 
@ Sónia Sousa, 2014 33

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Hcc lesson7

  • 1. Human Centered Computing IFI7172, Lesson 7 @ Sónia Sousa, 2014 1
  • 2. Objective • The objective of this lesson is to – Address the fundamental notions behind the Diffusion of Innovation theory. • Lecture (45m) – Finish the second case study 2 (task 3); (45m) – present the fourth and final reading assignment. (5m) @ Sónia Sousa, 2014 2
  • 3. DIFFUSION OF INNOVATION Fundamental notions @ Sónia Sousa, 2014 3
  • 4. Contextualization • So… yesterday we played a reflection “game” – Match initial propose and validated Heuristics with layers of development • Conclusions
  • 5. Main Ideas • It is unrealistic to match – Heuristics with layers of development • As all layer are intertwined – And take parte of a bigger part » The “HUMAN” – Some heuristics need to come together – As one is a complement of the other and VS • Some heuristics can be implemented from different development perspectives – Providing a technical affordance (lower layer) – Fostering a personal/individual perception (upper layer)
  • 6. Main Ideas • It is unrealistic to assess heuristics as – Positive or negative (+/-) in terms of influence as • This influence depend on the user perception – How user perceive the visual cues provided by the technical part of the system – How user perceive the visual cues provided by the socio part of the system » the context of use and the goal desire • Social, professional, educational; and • On what I expected to gain when using it • Social status • Competency (knowledge or skills) • Time efficiency
  • 7. Technology acceptance model • Connection with our finds – When we design a STS we design it to be adopted/accepted • But, that not necessary happens – There is a gap between goal desire and action intentions
  • 8. Technology acceptance model • This model has 2 main ideas behind – HOW and WHEN they they will use it • Our findings say – How depends on • How we use – Context » Social, professional, educational – The need for using » Õis example – When depends on • Our expectations – What we gain when using it » Social status » Competency (knowledge or skills) » Time efficiency
  • 9. Technology acceptance model • What we have learned – First version of TAM replaced This model was upgraded until 2003 - UTAUT • TRA’s measures attitude; and • TPB links beliefs and behaviors by • TAM added the technology acceptance measures – ease of use, and usefulness (pragmatic/practical) – 2007 • Bagozzi proposes The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift
  • 10. TAM paradigm shift • Our intentions are – triggered by Goals (expectations) that regulates • our intentions to perform an activity; – influenced (+/-) perceptions • Self-regulation external factors • Our intentions reflect – By our actions (more or less predispose to) Social or self-conscious emotions; social identity; caring, love, and empathy õis
  • 11. Overall vision UTAUT Self-regulation external factors Unified theory of acceptance and use of technology Action desires (predisposition to) Decide to act more or less Observable visual cues Social or self-conscious emotions; social identity; caring, love, and empathy
  • 12. Diffusion of innovation theory • Connection with our finds as – Roger research claims that • adoption and adaptation of usability evaluation methods – cannot be fully understood devoid of context » As they do not offer the » contextual factors such as • application domains, • organizational factors and project constraints – Do not help to understand » The gap between intentions to use and real use » The Self-regulation external factors
  • 13. Diffusion of innovations • Key questions: – What is the rate of adoption and innovation? – What variables affect this rate? – How does policy affect diffusion? – How consumers adopting the new technology
  • 14. Diffusion of innovation • Emerges from the diffusion concept – The act of spreading something more widely • (1) Adoption of innovation • (2) Technology transfer • This theory focus on – explaining how, why, and at what rate new ideas and technology spread through cultures
  • 15. Diffusion of Innovation • An innovation is – an idea, practice, or object that is perceived as new by an individual or other unit of adoption. • Diffusion is defined – as the process by which Everett Rogers view • (1) an innovation; is • (2) communicated through certain channels; • (3) over time; and • (4) among the members of a social system.
  • 16. How a new idea is spread • Elements that influence the spread of a new idea: – Innovation – Adopters – Communication channels – Time – Social system • This process relies heavily on human capital
  • 17. Innovation happens when • An new idea, practice, or object is perceived as new by an individual • Characteristics for adopt innovation – Potential adopters evaluate an innovation based on: • The perceived efficiency • Compatibility with the pre-existing system • Efforts expectancy or learnability, • Trialability or testability • Facilitation conditions
  • 18. So adopter have • Their role in How new ideas are spread. – Starts in the Adopters • Can be individuals; or • Organizations (businesses, schools, hospitals, etc.), • Social networks clusters; or • Countries. • They help in the diffusion process – To assess • (1) an innovation; and • (2) communicated through certain channels; – Instigate other adopter to adopt the innovation • (3) over time; and • (4) among the members of a social system.
  • 19. Diffusion of innovations • Elements that influence the spread of a new idea: – Adopters • Innovators • Early adopters • Early majority • Late majority • Laggards Accept innovation Fast Slow – Communication channels • channels that allows you to transfer information from one unit to the other in a efficient way
  • 20. Diffusion of innovations • Other elements that influence the spread of a new idea: – Time • Time is a variable necessary for innovations to be adopted; – Technology adoption rarely comes instantaneously. – the adoption degree in time is measured by » time of adoption » number of new product adopted in a interval of time – Social system combine • external influences – mass media, organizational or governmental mandates; and • internal influences – strong and weak social relationships, distance from opinion leaders.
  • 21. There are different profiles of adopter some adopt innovation relatively earlier than others ADOPTERS
  • 22. Type of adopters Innovators • the first individuals to adopt an innovation. – are willing to take risks, • Profile: – young in age, – Highest social class, – Great financial lucidity – closest contact to scientific sources – Interact with other innovators. Early adopters • Second category of individuals who adopt an innovation – Take the leadership role among other adopters • Profile – young in age – higher social status, – more financial lucidity, – advanced education, – more socially forward than late adopters
  • 23. Type of adopters Early majority • Adopt an innovation after a varying degree of time. – Third in adoption curve • Innovators/early adopters • Profile: – Slower in the adoption process, – above average social status, – contact with early adopters, – show some opinion leadership. Late majority • adopt an innovation after the average member of the society. – Approach innovations with a high degree of skepticism • Profile: – typically skeptical in the adoption – below average social status, – very little financial lucidity, – late contact with the majority of adopters – Very little opinion leadership.
  • 24. Type of adopters Laggards • the last to adopt an innovation. – have an aversion to change • Profile: – advanced in age. – tend to be focused on “traditions”, – lowest social status, – lowest financial fluidity, – Contact only family and close friends, – show little to no opinion leadership. • Innovators • Early adopters • Early majority • Late majority • Laggards Accept innovation Fast Slow
  • 25. Adopter classes • Innovators - 2.5% • Early adopters – 13.5% • Early majority – 34% • Late majority – 34% • Laggards – 16%
  • 26. Innovation success • Relative advantage – Success is related with • appeal to adopter needs • Compatibility – consistent degree • Adopt existing values; and • Adopt past experience • Complexity – perceived degree of • difficulty to understand and use • Trialability – make trials easy for new products • without economic risk to the consumer • Observability – Social visibility degree • For using a new product to friends and neighbours
  • 27. What to observe • Hardware – the physical and tangible aspects of a product • Software – Understanding individuals’ values and lifestyles • Characteristics that encourage rejection – Value barrier – Usage barrier – Risk barrier
  • 28. What to observe • The value chain Cockton, G., & Vermeeren, A. (2013). – By creating a‘value chain’ we are assuring • Our differentiation in the market because we are – Adding critical attributes that are important to the consumer • Economic determinants – Benefits • Costs • Risk and uncertainty/information • Environment and institutions • market and/or regulations Griliches’ (1957)
  • 29. What to observe Personality and attitude • Empathy • Ability to deal in abstraction • Rationality • Intelligence • Favorable attitude towards change • Ability to cope with uncertainty • Favorable attitude towards education • Favorable attitude towards science • High aspirations Communication variables • Social participation • Interconnectedness with the social system • Cosmopoliteness • Mass media exposure • Exposure to interpersonal communication channels • Knowledge of innovations • Opinion leadership • Belonging to highly interconnected systems
  • 30. The Adoption – Decision Process Everett Rogers Knowledge Persuasion Decision Implementation Confirmation
  • 31. Communication channels Diffusion of innovation model. Source: Rogers (1995)
  • 32. Diffusion of Innovation READING ASSIGN 4
  • 33. Reading assignment 4 • Selecting the papers – see the resources available in eliademy • Note: – You can use your own sources. It is up to you. • But please justify • After selecting the article to read – Go to ID Key concepts – Verify if no one else chose the same article; and • If not – add your name and source to the list @ Sónia Sousa, 2014 33