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Title: I, Me, Mine: Identity, Disclosure,


1
I, Me, MineIdentity, Disclosure, the Self
  • Michael C. Habib
  • JOMC 391.3
  • November 1, 2005

2
Can You See the Real Me?Activation and
Expression of the True Self on the
InternetBargh, J.A., McKenna, K.Y.A.,
Fitzsimmons, G.M. (2002)
  • Public persona vs. unconscious self (Jung, 1953)
  • Actual self vs. true self (Rogers, 1951)
  • Actual self Expression of self in social
    interactions.
  • True self Complete psychological existence of
    self.
  • IF The internet is a place where individuals
    can explore alternative, yet currently existing,
    conceptions of self (Turkle, 1995).
  • THEN People will use the internet to express
    their true selves.

3
Internet facilitates self-expression
  • Anonymity
  • Free of social expectations and constraints.
  • Reduction of risks and social sanctions.
  • Costs of revealing taboo things about oneself
    disappear outside of ones established social
    sphere.
  • Leads to self-disclosure
  • Strangers on a train (Ruben, 1975)
  • Then friendship
  • Disclosing ones true self leads to feelings
    of empathy and understanding between oneself and
    the other.
  • Being able to disclose ones true self through
    CMC might then lead to close relationships.

4
If validation of ones true self is desirable,
then people will naturally use the internet to
express their true selves to others.
  • H1a Ones conceptions of his/her true self
    should be more accessible cognitively during an
    initial interaction with a stranger over CMC than
    during an initial FtF interaction.
  • H1b In the initial FtF interaction, the actual
    self concept will be more accessible than in the
    CMC interaction.
  • H2a One will better present their true self
    in the initial CMC interaction than in a FtF,
    thus causing the CMC partner to form an
    impression closer to the that of ones true
    self than ones actual self.
  • H2b Following an initial positive impression,
    one will like the CMC partner more than in an
    initial FtF interaction.

5
Experiment 1 Methodology
  • Speeded self-judgment, reaction time to
  • Me/Not-Me (Markus, 1977)
  • 35 words chosen from normative likability ratings
    (Anderson, 1968) and 10 words from participant
    generated list of actual self and true self
    identifiers.
  • N46 (16 same sex pairs and 7 cross-sex pairs)

6
Results and analysis
  • 2 (interaction mode CMC or FtF)
  • x 2 (interaction length 5 or 15 min.)
  • x 2 (self-concept actual vs. true)
  • x 2 (participated within pair)
  • repeated measures ANOVA
  • w/ first two as between-participants and
  • second two as within-participants.

7
Significant interactions
H1a H2a confirmed
8
Experiment 2
  • Purpose Was the anticipation of a CMC vs. FtF
    interaction or the interaction itself cause for
    the results from experiment one?
  • Method
  • Participants perform Me/Not-Me with anticipation
    of, but no actual interaction (time of
    anticipation remained the same as in Exp. 1)
  • Control group was added who anticipated nothing.
  • Results
  • 3 (anticipated interaction type) x 2
    (self-concept)
  • No significant effect accept that actual self
    was more accessible then true self across all
    conditions.
  • H1a and H1b re-confirmed

9
Experiment 3 Method
  • H2a and H2b should hold true because
  • Greater ease of expressing ones true self in
    CMC vs. FtF.
  • On account of the lack of traditional impression
    forming cues, one will also be freer to imagine
    an idealized version of the other.
  • N40 (20 male, 20 female)
  • Cross-sex pairs meet for 40min
  • Actual self measure, true self measure, ideal
    partner measure, ideal friend measure, and liking
    of partner measure.

10
Self-presentation measures
Support for H2a
11
Liking and projection of ideals
  • CMC partners liked each other significantly more
    than in FtF condition.
  • H2b supported for friendship but not romance.
    Projected ideals of friend in CMC but not FtF
    condition.
  • No differences on projection between CMC and FtF
    independent of initial liking.

12
Questions
  • In an on-line social sphere that is a 'usual
    social sphere' do the findings of this study
    hold? I would suggest that they do not. Will the
    presentation of a true self over CMC give way to
    a presentation of the actual-self over time? (TJ)
  • For example Facebook (Mike)
  • What is the topic for those interactions in the
    experiments. The sensitivity of the topic might
    influence the result (sensitive topic, more
    actual self non-sensitive topic, more real
    self). (Cong)
  • Might participants have guided the conversation
    themselves based on their increased comfort
    levels. However, I too wish they had covered
    this (Mike).

13
Another question
  • It is not just that people are willing to present
    their true selves, but we need to examine the
    opposite why is it that we are not willing
    accept people's true selves in ftf communication?
    There must be something that we do that prevents
    other people from feeling comfortable to be
    themselves.
  • When I teach listening skills to executives, I
    teach them to stop talking and stop thinking
    about what they will say next and start truly
    listening to the other person and what they have
    to say.
  • Maybe another experiment could include a
    listening skills session in both cmc and ftf
    environments to see if there is a difference in
    the way people both transmit and receive the true
    selves of others. (Karen)

14
Impression Formation in Computer-Mediated
Communication RevisitedAn Analysis of the
Breadth and Intensity of ImpressionsHancock,
J.T., Dunham, P.J. (2001)
  • Cues filtered-out (CFO) theories
  • CMC lacks necessary cues for developing personal
    relations and clear impressions.
  • Social Identification/Deindividuation (SIDE)
    model
  • Lack of cues leads to increased reliance on
    existing cues for impression formation.
  • Impressions reflect social categorization
    techniques such as stereotyping.
  • Social information-processing (SIP) theory
  • Because of the limited cues, impression forming
    is slower in CMC than FtF, but levels out over
    time.

15
Hyperpersonal model
  • Like in SIDE, stereotyping based off limited
    cues.
  • But, people also participate in
    self-presentation to control what cues they send
    out.
  • Unlike CFO, people can put additional resources
    into word choice, content, and self-presentation.

16
Hypotheses
  • H1 After an initial interaction, CMC
    participants will confidently rate partners on
    fewer characteristics than FtF participants will.
    (CFO and Hyperpersonal)
  • H2a CMC participants will make more intense
    attributions about the characteristics they rate
    than FtF participants. (Hyperpersonal)
  • H2b CMC participants will give relatively
    neutral ratings. (CFO)

17
Experiment
  • N84 randomly paired to complete task
  • NEO-Five Factor Inventory
  • Neuroticism, Extraversion, Openness,
    Agreeableness, and Conscientiousness.
  • 60 items, 12 for each trait.
  • Six choices including neutral and cannot make
    judgment.
  • Number answered ? Breadth index
  • Deviation from neutral point ? Intensity index

18
Results H1 Supported
  • 2 (communicative environment) x 5 (trait) mixed
    General Linear Model for Breadth and again for
    Intensity.
  • CMC participants answered significantly fewer
    questions per trait.
  • Differences b/w CMC and FtF existed for
    Extraversion, Agreeableness, Neuroticism (more
    visual traits?).
  • But not for Openness and Conscientiousness (less
    visible traits?)
  • CMC answered 59 of items while FtF answered
    74.6

19
H2a Supported, but not H2b
  • Intensity was significantly greater in CMC
    condition.
  • Interaction was consistent for all traits.

20
What next?
  • Change over time? (to support the rest of the
    hyperpersonal model and SIP).
  • If given reason and time, would participants
    develop methods to overcome the lack of cues?
  • Would this intensify self-presented traits, or
    would intensity level out over time?

21
Questions
  • Hancock and Dunham all but beg for follow up
    study I propose a study that looks at
    impression formation over time to test the
    hyperpersonal theories assertion that initial,
    stereotypical and extreme impressions of
    conversation partners will settle over time,
    becoming more realistic as cues are introduced.
    (TJ)
  • We might be able to tell more in a text-based
    environment than in ftf because we control what
    the other person finds out. In ftf environment,
    they might not get a good grasp of who we are in
    a first meeting--just like dating, takes time to
    get to know a person. What if we did this study
    over time, to find out how their judgments
    changed after getting to know and work with
    another person? (Karen)

22
More Questions
  • Impression formation in CMC revisited? The
    authors instructed participants in CMC conditions
    not to reveal their names, gender, or age. I am
    wondering why the authors did not let
    participants to reveal their gender. Since gender
    is obvious in the face-to-face condition, why
    they intentionally create this difference across
    the CMC and FTF conditions?
  • The authors stated that they did this to
    optimize deindividuation, a future study could
    look at how individual cues effect outcomes.
    Age, sex, and location is usually the first thing
    asked when meeting someone in a chat room.

23
e-PerceptionsPersonality Impressions Based on
Personal WebsitesVazire, S., Gosling, S.D. (2004)
  • Two ways personality is manifested in physical
    environment
  • Identity claims
  • Behavioral residue
  • Impressions gained through these have been shown
    to converge with what people are actually like.
  • These two mechanisms need to be analyzed
    separately.
  • Personal web sites are chosen as examples of
    virtual space consisting of almost entirely
    identity claims.

24
Research Questions on Personal Websites.
  • Consensus Do they provide a coherent,
    interpretable message to readers.
  • Likely yes, because they are highly structured
    and constructed of symbols holding shared
    meanings.
  • Accuracy Do they convey their message
    accurately.
  • Likely yes, because people form accurate
    impressions quickly and easily given little
    information and these sites have lots of
    information.
  • Impression Management Do they convey an overly
    positive message?
  • Specifically, do site authors try to present
    their idealized self instead of their normal self?

25
Method
  • 11 reviewers made recorded personality
    impressions for 89 websites.
  • Accuracy was determined by comparison with an
    Accuracy index combining self-report and
    informants (friends).
  • Ideal-self was collected from site authors.
  • Five-factor model used (44 factor Big Item
    Inventory).

26
Results
  • Question 1 Consistency measures were positive
    and significant for all 5 factors.
  • Openness and Extraversion displayed the
    strongest consistency, and Emotional Stability
    the weakest.
  • Question 2 Accuracy correlations were also all
    positive and significant.
  • A number of possible influencing factors were
    analyzed and only gender had any effect. Gender
    significantly accounted for ratings of
    Agreeableness and Openness. This was in addition
    to the Accuracy correlation for those factors.
  • Question 3 Extraversion and Agreeableness
    showed effects of impression formation.

27
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28
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29
I didnt understand why this was particularly
relevant.
30
Questions
  • Can we use the same examination of corporate
    websites to determine the self-concept or image
    the firm is 1) intending to convey and 2) is
    observed to convey? This is important for both
    profit and nonprofit firms who are trying to
    portray themselves in a certain way, but may not
    understand that e-perceptions are being made
    about them by what they reveal or do not reveal.
    (Karen)
  • the researcher might consider categorizing the
    personal web sites further into more specific
    types. For example, many academic personal pages
    fit the definition on p. 125 but do not have much
    to tell about the authors personality while many
    creative sites do. (Shirong, Sanghee also
    expressed concern about this)
  • What if they analyzed profiles from social
    networking sites instead? These have the express
    purpose of presenting oneself to the world.
    Blogs on personal issues also would work well,
    but analysis might be more difficult. (Mike)

31
Dont Blame the ComputerWhen Self-Disclosure
Moderates the Self-Service BiasMoon, Y. (2003)
  • Internal vs. External (Heider, 1958)
  • Is the self responsible or some environmental
    factor?
  • Self-serving bias
  • When there is a positive outcome, external
    factors are responsible.
  • When there is a negative outcome, the self gets
    the credit.

32
Why the Self-Serving Bias?
  • Possibly an information processing deficiency?
  • However, most evidence points to the human need
    for ego enhancement.
  • How does this translate in an HCI situation?

33
Interpersonal Contextsan Exception to
Self-Serving bias
  • When individuals partake in intimate
    self-disclosure (sharing of high-risk
    information) with one another, self-serving bias
    is diminished.
  • Intimate self-disclosure ? attraction
  • Attraction ? including the other within ones
    concept of self and thus protect their ego as
    well.
  • Given the media equation, does this behavior
    extend in to HCI scenarios?

34
Hypotheses
  • H1 Users will be more likely to blame the
    computer when there is a negative outcome than
    when there is a positive outcome.
  • H2a After having engaged in self-disclosure
    with a computer, users are more likely to credit
    the computer when there is a positive outcome,
    than when they have not previously disclosed
    information to the computer.
  • H2b After having engaged in self-disclosure
    with a computer, users are less likely to blame
    the computer credit when there is a negative
    outcome, than when they have not previously
    disclosed information to the computer.
  • H3 The relation between self-disclosure and
    attributional tendencies predicted in H2a and H2b
    will be partially mediated by the level of
    attraction users feel toward the computer.

35
Experiment 1 Method
  • All users participate in intimate
    self-disclosure, then filler task, then some
    perform the purchasing task on either the
    original computer or a different computer.
  • Disclosure-reciprocity norms Computer shared
    information about itself, asked gradually more
    intimate questions,
  • 2 (computer type same or different)
  • x 2 (outcome positive or negative)
  • between subjects full factorial.
  • Told successful completion of task would lead to
    10 dollar reward.

36
Measures and Results
  • Attribution 1 2 questions, 10 pt scale,
    who/what was more responsibleself or computer?
  • Attribution 2 2 questions, 10 pt scale, the
    computer contributed heavily agree or disagree?
  • H1, H2a and H2b Supported by both Attribution 1
    and 2.

37
Positive Outcome
38
Experiment 2 Method
  • All participants use the same computer in Tasks 1
    and 3.
  • Three types of disclosure
  • RECIP (disclosure-reciprocity)
  • NoRECIP (random order, Computer does not
    disclose)
  • LG (same as NoRECIP but using same number of
    words as RECIP)
  • User supposed to disclose more to RECIP which
    will mediate affection and attributional
    tendencies.

39
Results of Experiment 1 Replicated
  • Manipulation worked Disclosure was
    significantly higher for RECIP and H1 and H2 were
    further supported.

40
H3 Supported
  • Liking (attraction) measured after Task 1
  • Self-disclosure had a significant effect on
    liking, with participants liking the computer
    more in the RECIP condition.
  • The effect of self-disclosure on Attributions
    then re-tested with liking as a covariate.
  • The effect of Liking on Attributions 1 and 2 was
    significant in both the positive and negative
    conditions.
  • ? Thus attraction partially mediated
    attributional tendencies.

41
Possible Applications
  • Traditionally, it is assumed that users only like
    significant self-disclosure if they are to get
    some functionality in return.
  • Furthermore, it is traditionally assumed that
    having disclosed information, users have higher
    expectations for the system.
  • However, this study suggests that the act of
    self-disclosure can, in some cases, increase both
    attraction and praise and decrease criticism of a
    system.
  • Will this hold true in the real world with
    privacy and confidentiality concerns, etc.
  • Attraction caused by other factors may accomplish
    the same goals.

42
Questions
  • The alternate prediction is that consumers who
    engage in self-disclosure will be more forgiving
    in their expectations of performance This causes
    me to wonder what motivates users to divulge
    intimate personal information. Are there a
    variety of reasons? If a user is not expecting a
    pay-off from a commercial site what compels them
    to provide personal information?
  • Might it be the True Self effect? (Mike)
  • Recommendation systems like Amazon.com come to
    mind. People put tons of personal information in
    the system. Does that act of self-disclosure
    endear people to the site? (Mike)

43
Questions
  • I would be interested in seeing the computers
    answers to the 15 questions and their
    computer-disclosures. From whose perspective
    the experimenters typed in the computers
    answers? From a machines only or a personalized
    AI/another human being? If the former, people
    treat machines as machines but unconsciously give
    it some human-like characteristicsit becomes an
    HCI question. If the latter, people actually
    treat machines as other human beings whose name
    are represented as computersit becomes a CMC
    question, to a certain degree. (Shirong)
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