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Developing an instrument to assess the impact of attitude and social norms on user selection of an interface design: a repertory grid approach
Willem-Paul Brinkman Steve Love
Topics
Research Motivation
Repertory Grid Analysis – initial
instrument
Survey – validation instrument
Attitude, Social Norm and Design
Selection
Conclusions & Future Research
Motivation
User Personalit
y
Intention of selecting a
specific type of design
However, correlations were relatively small (Brinkman and Fine, 2005)
A less direct approach is needed as users might have different criteria to evaluate a design.
Because of colour or theme
Motivation
Attitude towards
selecting a specific design
type
Subjective Norm
Relative importance
Adoption of Theory of Reason Action (Ajzen and Fishbein, 1980)
Intention of selecting a
specific type of design
User Personalit
y
Research questions1. What criteria do people use to
evaluate a design? 2. What impact do attitude and
social norm have on the selection of a design?
Motivation
Different social context
1. Public application (mobile phone)?
2. Private application (PC multimedia player)?
Motivation
Aim - Develop two evaluation instruments to assess people’s attitude and social norm towards:1. Mobile phone 2. PC Multimedia Player Skins
First question: what criteria do people use to evaluate a phone or Multimedia Player Skin?
Motivation
Repertory Grid Analysis
Personal Construct Theory: Everyone interprets (or constructs) events and their universe differently.
Constructs are bipolar, for example to describe friends: easy-going versus tense, reliable versus unreliable. etc
Repertory Grid Analysis: a method to elicit these specific constructs.
George Kelly
Repertory Grid AnalysisGeneral Procedure Split up triad into 2
groups Label the groups Rate the object on
construct Create Grid
Repertory Grid AnalysisGeneral Procedure Split up triad into 2
groups Label the groups Rate the object on
construct Create Grid
Male
Female
Repertory Grid AnalysisGeneral Procedure Split up triad into 2
groups Label the groups Rate the object on
construct Create Grid
Male Female
Repertory Grid AnalysisGeneral Procedure Split up triad into 2
groups Label the groups Rate the object on
construct Create Grid
Looking for similarities between the constructs
Apply a Factor Analysis
Phone Ma
le-f
em
ale
Bo
y-G
irl
Co
mp
lex-
Sim
ple
Un
usa
ble
-Usa
ble
La
rge
-Ea
sy t
o u
se
1 7 6 3 2 1 2 5 5 7 7 6 3 2 2 6 7 6 4 3 2 3 4 2 5 1 2 7 6 5 6 2 3 1 2 3
Repertory Grid AnalysisMethod Participants Material Procedure
20 Participants Brunel University Students or
Staff members 10 males, 10 females Mean age of 26.5 years (SD =
4.84)
Repertory Grid AnalysisMethod Participants Material Procedure
Photo of 15 mobile phones taken from Mobile Digest news website.
Repertory Grid AnalysisMethod Participants Material Procedure
Screen prints from 15 skins taken from earlier study (Brinkman and Fine, 2005)
Repertory Grid AnalysisMethod Participants Material Procedure
Two sessions: Mobile phone and Skins
Sequence of the sessions was counterbalanced
10 randomly drawn triads, with no repeating triads
Afterwards rating the phone and skins on the 10 constructs
Total interview took around 2 hours
Repertory Grid AnalysisAnalysis Data Rules Mobile Phone Skins
200 mobile phone and 200 skin constructs
Factor Analysis used principal-component extraction method and varimax rotation
Aim -> to identify common constructs themes used by multiple participants.
Phone Ma
le-f
em
ale
Bo
y-G
irl
Co
mp
lex-
Sim
ple
Un
usa
ble
-Usa
ble
La
rge
-Ea
sy t
o u
se
1 7 6 3 2 1 2 5 5 7 7 6 3 2 2 6 7 6 4 3 2 3 4 2 5 1 2 7 6 5 6 2 3 1 2 3
Repertory Grid AnalysisAnalysis Data Rules Mobile Phone Skins
Selection criteria to select component
1. Factor loadings (correlations) below 0.69 were ignored.
2. Components should have constructs loading from at least 5 different participants
3. A clear semantic relationship between the labels of the construct should exist.
Repertory Grid AnalysisAnalysis Data Rules Mobile Phone Skins
Gender G1 Feminine – Masculine
G2 Female – Male
G3 Girl - Boy
Maturity M1 Immature – Mature
M2 Childish – Sophisticated
M3 Playful – Serious
M4 Silly - Classy
Professionalism P1 Unprofessional –
Professional
P2 Fun – Technical
P3 Novelty – Business
P4 Amateur - Expert
Ease of use
Reliability R1 High failure rate - Low
failure rate
R2 Unreliable – Reliable
R3 Unsound – Robust
R4 Easy to break - Not easy to break
R5 Unprotected - Protected
E1 Complicated - Simple to use
E2 Difficult – Plain
E3 Hard to use - Easy to use
E4 Complex – Simple
E5 Difficult to carry - Easy to carry
3 Components / dimensions
Appearance of the mobile
phone
Appearance of the mobile
phone
Repertory Grid AnalysisAnalysis Data Rules Mobile Phone Skins
Progressive PO1 Expected –
Unexpected
PO2 Standard – Fashionable
PO3 Conventional – Unconventional
PO4 Boring – Appealing
PO5 Plain – Interesting
Ease EA1 Complex – Simplistic
EA2 Scream – Peaceful
EA3 Complicated – Intuitive
EA4 Cluttered – Simple
EA5 Tension - Calm
Fun of use FO1 Serious – Humorous
FO2 Sombre – Lively
FO3 Dull – Relaxing
FO4 Depressing – Uplifting
FO5 Bland – Vibrant
Futuristic FU1 Outdated –
Ultramodern
FU2 Traditional – Futuristic
FU3 Basic – Creative
FU4 Natural – Techie
FU5 Old - Space age
4 Components / Dimensions
Survey Aim Procedure Participants Analysis Results
Validate the scales obtained from the Repertory Gird Analysis
Survey Aim Procedure Participants Analysis Results
To evaluate the middle mobile phone/skin with the scales provided
Survey Aim Procedure Participants Analysis Results
156 students of the School of Information Systems, Computing and Mathematics (Brunel, UK)
Average age 23.6 years (SD = 4.79)
57 female, 75 male (24 did not report gender)
Survey Aim Procedure Participants Analysis Results
Reliability analysis to examine the internal consistency of the scales within dimension
Dimension “Reliability” for mobile phone removed Cronbach’s alpha < 0.7
Factor Analysis Component with Eigen
value > 1 Scales loading > 0.7
Survey Aim Procedure Participants Analysis Results
Gender Feminine - Masculine Female - Male Girl - Boy
Sophistication Childish - Sophisticated Silly - Classy Novelty - Business
Ease of Use Hard to use - Easy to use Complex - Simple Complicated - Simple to use
Stimulation Boring – Appealing Depressing – Uplifting Bland – Vibrant Plain – Interesting
Ease Complicated – Intuitive Complex – Simplistic Cluttered – Simple
Scales for Mobile Phones
Scales for Multimedia Player skins
Attitude, Social Norm and Design Selection
Attitude towards
selecting a specific design
type
Subjective Norm
Intention of selecting a
specific type of design
Second question: What impact do attitude and social norm have on the selection of a design?
Additional information collecting in Grid interviews
Additional information collecting in Grid interviews
Attitude Social Norm Intention Results
The evaluation (e) of a skin/phone on a scale.
The importance of an evaluation scale (w).
For me, having a skin that is “explaining”, or that is associated with this is?
Attitude, Social Norm and Design Selection
Bad Good
10
1iijij ewA
10
1iijij ewA
Attitude Social Norm Intention Results
Their belief (b) on how peers, family members, or authority figures would their (participants) phone or skin to score on a construct.
Their willingness (g) to comply with the peers, family members, or authority figure.
Attitude, Social Norm and Design Selection
authorityfamilypeersOwhereby
ebgSNOk i
ijikkj
,,
10
1
authorityfamilypeersOwhereby
ebgSNOk i
ijikkj
,,
10
1
Attitude Social Norm Intention Results
Behavioural intention to select a skin or mobile phone
I would try this on my media player?
I intend to obtain the following mobile phone?
Attitude, Social Norm and Design Selection
unlikely likely
Attitude Social Norm Intention Results
Social Norm has an impact on phone selection, but not skin selection.
Attitude, Social Norm and Design Selection
Phone (public) Skin (private)
Mean (partial) correlation. *p.<.05.**p<.01.
Research questions1. What criteria do people use to evaluate
a design? 1. Mobile phone: Gender, Ease of Use and
Sophistication2. Multimedia Player skins: Stimulation and
Ease
2. What impact do attitude and social norm have on the selection of a design?
• Social Norm has an impact on phone (public device) selection, but not Multimedia Player (private device) selection.
Conclusions
Further research
Attitude towards
selecting a specific design
type
Subjective Norm
Relative importance
Intention of selecting a
specific type of design
User properties
User Personalit
yGender