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THE DILEMMA OF TRUST: HOW TO HELP
USERS?
Dara Sherwani
dara.sherwani.1@city.ac.uk
Centre for HCI Design
Question: Why MOO.COM?
Answer: “The reviews are good and the website looks fine””
MEDIATED TRUST RELATIONSHIP
Trust signals
Trust relationship
User Vendor
Reviews
Reviewer
User Vendor
Trust signals
Mediated trust relationship
TRUST & DISTRUST OFFLINE
 Cues (Meyer, 2010)
I did not have sexual relations with that woman…Miss Lewinsky
TRUST & DISTRUST OFFLINE
 Cues
TRUST & DISTRUST OFFLINE
 Cues
MEDIATED TRUST RELATIONSHIP
Reviews
Reviewer
User Vendor
Trust signals
Mediated trust relationship
 Lack of non-verbal cues
LITERATURE
 Online reviews: Trust factors
Review quality (Lee et al., 2008)
Source expertise (Kim et al., 2008)
Source bias, or Untruthfulness (Ku et al., 2012)
Perceived helpfulness & accuracy (Liu et al., 2008)
LITERATURE
INCREASE
BOOST
MAXIMIZE
DEVELOP
ESTABLISH
 How interface design can help users to distinguish between
trustworthy and untrustworthy content (inspired by Riegelsberger et
al., 2005)
1
Influence of
interface design on
trustworthiness
2
Interface design and
trust factors
Design
improvements
RESEARCH AIM
3
Effect of dispositional
trust
USER STUDY
0 10 20 30 40 50
Photographic evidence
Number of people who found the review unhelpful
Number of cities
Membership level
Number of helpful votes
City & country
Number of reviews
Number of people who found the review helpful
RESULTS
1. Influence of interface elements on assessing trustworthiness: frequencies of
UI elements
Dido
Kiev, Ukraine
Senior Contributor
47 reviews
Review in 20 cities
29 helpful votes
This hotel is one which does everything well. It is
located in what must be the busiest part of the city,
nearby Bukit Bintang, surrounded by shopping malls,
food outlets, fashion stores and good restaurants.
The staff are polite, accommodating and helpful. The
breakfast buffet is delicious and the rooms are
pleasant and comfortable, with clean furniture and a
desk and small sitting area.,
“Faultless hotel”
Reviewed 5 July 2012
4 people found this review helpful
RESULTS
2. Interface elements and trust factors: Review quality & perceived
helpfulness
0 10 20 30 40
Number of helpful votes
Number of reviews
Number of people who found the
review helpful
1
2
3
4
5
Review quality Perceived helpfulness
High
High
Low
Low
Need for signals to judge low
review quality: “This one is bad I
wonder how many unhelpful
votes it could get”
RESULTS
2. Interface elements and trust factors: Source expertise
1
2
3
4
5
Perceived accuracy
High
Low
0 10 20 30 40
Number of helpful votes
Number of reviews
Need for photographic evidence
: “If I’d be able to see photos of
the hotel with this review I’d feel
I can depend on this review”
RESULTS
0 10 20 30 40 50
With low perceived accuracy
With high source bias
Participants mentioned that they struggled
in assessing trustworthiness when source
bias was rated high : “Nothing there tells
me that these people are real customer”
1
2
3
4
5
Source bias Perceived accuracy
Frequency of city & country
High
Low
High
Low
2. Interface elements and trust factors: Source bias & perceived accuracy
RESULTS
3. Effects of dispositional trust
Dividing participants into 2 groups: High & low
-10 10 30 50
Number of helpful
votes
Number of reviews
City & country
Difference between groups: High & low dispositional trust
CONTRIBUTIONS: DESIGN
Review
Quality
Perceived
Helpfulness
Source
Expertise
• Transparency of community
opinions signals.
online
community
opinion
reviewer
city &
country
Source
bias
Perceived
accuracy
• Direct signal of source bias.
• Evidence of information accuracy.
CONCLUSION
“ There are known unknowns.
That is to say we know there are
some things we do not know.
But there are also unknown
unknowns, the ones we don’t
know we don’t know”
Donald Rumsfeld, 2002
THANK YOU!

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Helping users in assessing the trustworthiness of user-generated reviews

  • 1. THE DILEMMA OF TRUST: HOW TO HELP USERS? Dara Sherwani dara.sherwani.1@city.ac.uk Centre for HCI Design
  • 2. Question: Why MOO.COM? Answer: “The reviews are good and the website looks fine””
  • 3.
  • 4. MEDIATED TRUST RELATIONSHIP Trust signals Trust relationship User Vendor Reviews Reviewer User Vendor Trust signals Mediated trust relationship
  • 5. TRUST & DISTRUST OFFLINE  Cues (Meyer, 2010) I did not have sexual relations with that woman…Miss Lewinsky
  • 6. TRUST & DISTRUST OFFLINE  Cues
  • 7. TRUST & DISTRUST OFFLINE  Cues
  • 8. MEDIATED TRUST RELATIONSHIP Reviews Reviewer User Vendor Trust signals Mediated trust relationship  Lack of non-verbal cues
  • 9. LITERATURE  Online reviews: Trust factors Review quality (Lee et al., 2008) Source expertise (Kim et al., 2008) Source bias, or Untruthfulness (Ku et al., 2012) Perceived helpfulness & accuracy (Liu et al., 2008)
  • 11.  How interface design can help users to distinguish between trustworthy and untrustworthy content (inspired by Riegelsberger et al., 2005) 1 Influence of interface design on trustworthiness 2 Interface design and trust factors Design improvements RESEARCH AIM 3 Effect of dispositional trust
  • 13. 0 10 20 30 40 50 Photographic evidence Number of people who found the review unhelpful Number of cities Membership level Number of helpful votes City & country Number of reviews Number of people who found the review helpful RESULTS 1. Influence of interface elements on assessing trustworthiness: frequencies of UI elements Dido Kiev, Ukraine Senior Contributor 47 reviews Review in 20 cities 29 helpful votes This hotel is one which does everything well. It is located in what must be the busiest part of the city, nearby Bukit Bintang, surrounded by shopping malls, food outlets, fashion stores and good restaurants. The staff are polite, accommodating and helpful. The breakfast buffet is delicious and the rooms are pleasant and comfortable, with clean furniture and a desk and small sitting area., “Faultless hotel” Reviewed 5 July 2012 4 people found this review helpful
  • 14. RESULTS 2. Interface elements and trust factors: Review quality & perceived helpfulness 0 10 20 30 40 Number of helpful votes Number of reviews Number of people who found the review helpful 1 2 3 4 5 Review quality Perceived helpfulness High High Low Low Need for signals to judge low review quality: “This one is bad I wonder how many unhelpful votes it could get”
  • 15. RESULTS 2. Interface elements and trust factors: Source expertise 1 2 3 4 5 Perceived accuracy High Low 0 10 20 30 40 Number of helpful votes Number of reviews Need for photographic evidence : “If I’d be able to see photos of the hotel with this review I’d feel I can depend on this review”
  • 16. RESULTS 0 10 20 30 40 50 With low perceived accuracy With high source bias Participants mentioned that they struggled in assessing trustworthiness when source bias was rated high : “Nothing there tells me that these people are real customer” 1 2 3 4 5 Source bias Perceived accuracy Frequency of city & country High Low High Low 2. Interface elements and trust factors: Source bias & perceived accuracy
  • 17. RESULTS 3. Effects of dispositional trust Dividing participants into 2 groups: High & low -10 10 30 50 Number of helpful votes Number of reviews City & country Difference between groups: High & low dispositional trust
  • 18. CONTRIBUTIONS: DESIGN Review Quality Perceived Helpfulness Source Expertise • Transparency of community opinions signals. online community opinion reviewer city & country Source bias Perceived accuracy • Direct signal of source bias. • Evidence of information accuracy.
  • 19. CONCLUSION “ There are known unknowns. That is to say we know there are some things we do not know. But there are also unknown unknowns, the ones we don’t know we don’t know” Donald Rumsfeld, 2002