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Biocyberpsychology

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Title: Biocyberpsychology


1
Biocyberpsychology
  • Evolution, systemising, empathising and digit
    ratio

2
The Design of Everyday Things(Norman, 1990)
  • The paradox of technology
  • The same technology that simplifies life by
    providing more functions in each device also
    complicates life by making the device harder to
    learn, harder to use (p.31)
  • Conceptual simplicity in one-to-one matching
    between button and function
  • e.g analog vs. digital watch
  • Addition of alarm, stopwatch, countdown timer,
    camera but harder to set the time
  • Increasing functionality leads to increasing
    complexity
  • How this is dealt with determines technophobia

3
Emotional Design(Norman, 2004)
  • Design of Everyday things logical, usability
  • Affect Judgement system
  • Damasio Descartes Error
  • Attractive things work better
  • Aesthetics emotion cognition
  • Creative solution
  • Error
  • - Narrow focus

4
  • 3 levels of analysis
  • Visceral level
  • Automatic, prewired (look/ feel)
  • Behavioural level
  • Control behaviour (performance)
  • Reflective level
  • Conscious, cultural (meaning)
  • Bottom up vs. top down
  • Evolution
  • We are coevolving with technology
  • (Dawkins, 1995)
  • Evolutionary psychology

5
  • Charles Darwin (1859)
  • William James (1890) Henry James (1890)
  • Principles of The Bostonians
  • Psychology
  • Which has explained the human condition better?
    (Lodge, 2002)

6
Evolutionary Psychology
  • The goal of research in evolutionary psychology
    is to discover and understand the design of the
    human mind
  • Evolutionary psychology is an approach to
    psychology
  • Principles from evolutionary biology are put to
    use in research on the structure of the human
    mind

7
Evolutionary Psychology
  • It is not an area of study, like vision,
    reasoning, or social behaviour
  • It is a way of thinking about psychology that can
    be applied to any topic within it
  • Including cyberpsychology

8
Human Nature
  • Instincts are specialized neural circuits that
    are common to every member of a species and are
    the product of that species' evolutionary
    history.
  • Taken together, such circuits constitute (in our
    own species) what one can think of as "human
    nature".

9
Instincts
  • Our natural competences are possible only because
    there is a vast and heterogenous array of complex
    computational machinery supporting and regulating
    these activities.
  • This machinery works so well that we don't even
    realize that it exists.
  • We all suffer from instinct blindness.
  • As a result, psychologists have neglected to
    study some of the most interesting machinery in
    the human mind.

10
Model
  • Adaptive Problem
  • Cognitive Programs
  • Neurophysiological Basis

11
Implications of model
  • Three complementary levels of explanation in
    evolutionary psychology. Inferences (represented
    by the arrows) can be made from one level to
    another.
  • Theories of adaptive problems can guide the
    search for the cognitive programs that solve
    them knowing what cognitive programs exist can,
    in turn, guide the search for their neural basis.

12
5 Principles
  • Principle 1. The brain is a physical system. It
    functions as a computer. Its circuits are
    designed to generate behaviour that is
    appropriate to your environmental circumstances.

13
  • Principle 2. Our neural circuits were designed by
    natural selection to solve problems that our
    ancestors faced during our species' evolutionary
    history.

14
  • Principle 3. Consciousness is just the tip of the
    iceberg most of what goes on in your mind is
    hidden from you. As a result, your conscious
    experience can mislead you into thinking that our
    circuitry is simpler that it really is. Most
    problems that you experience as easy to solve are
    very difficult to solve -- they require very
    complicated neural circuitry

15
  • Principle 4. Different neural circuits are
    specialized for solving different adaptive
    problems.

16
  • Principle 5. Our modern skulls house a stone age
    mind.

17
Human vs. non-human
  • Evolved specialised neurocognitive mechanisms
  • Discriminate agents vs non-agents
  • Animate inanimate (plants)
  • Intentional non intentional
  • Social non social
  • Intuitive psychology to deduce the cause of
    agents actions Empathising
  • Intuitive physics to deduce the cause of
    non-agents actions Systemising
  • (Dennett, 1987 Premack, 1990)

18
Empathy Definition
  • Empathising is the drive to identify another
    person's emotions and thoughts, and to respond to
    these with an appropriate emotion. Empathising
    allows you to predict a person's behaviour, and
    to care about how others feel. (Baron-Cohen, 2002)

19
Systemising Definition
  • Systemising is the drive to analyse the variables
    in a system, to derive the underlying rules that
    govern the behaviour of a system. Systemising
    also refers to the drive to construct systems.
    Systemising allows you to predict the behaviour
    of a system, and to control it (Baron-Cohen,
    2002).
  • Scientists are by their nature good systemisers
    mathematicians representing the ultimate
    systemiser within the normal population.

20
Sex differences
  • Males tend to be systemisers
  • Females tend to be empathisers
  • Individuals with autistic qualities have extreme
    systemising skills but poor empathising skills
  • Extreme male brain theory (mostly males)

21
  • Baron-Cohen (2002 72) argues that all the
    sciences utilize systemizing as their basis, and
    all are dominated by men.
  • Professoriate (2.5 are female in the UK)
  • Fellowship of the Royal Society (3.6 are
    female).
  • Life Science/ Social Science bias (Brosnan,
    1998).

22
Continuum
  • Male Domination
  • Extreme male brain Autism
  • Asperger Syndrome
  • Science/ Maths/ Computer Science
  • Social Sciences
  • Caring Professions
  • Extreme female brain
  • Female domination

23
Wired (2001)
  • The Geek Syndrome
  • Autism - and its milder cousin Asperger's
    syndrome - is surging among the children of
    Silicon Valley. Are math-and-tech genes to blame?

24
(No Transcript)
25
  • Understanding the relationship between
    systemising and empathising is crucial
  • If Baron-Cohen is correct, those most likely to
    be associated with cyberpsychology will be
    systemisers

26
Geeks
  • Are Geeks high in systemising and low in
    empathising?
  • What is a Geek?
  • Are you a Geek?
  • Is a Geek different from a Nerd?
  • Can you be high in Systemising and Empathising?
  • Back to Neuro

27
Broader Phenotype
  • Both parents also show a masculinised cognitive
    profile
  • High male-typical performance on systemising
    tasks
  • High association with Science (esp. Maths,
    physics, computer science) and Engineering
    professions
  • Hard masters?

28
The brain!
29
Localization
  • Occipital lobes vision
  • Parietal lobes spatial
  • Temporal lobes memory/language
  • Frontal lobes - Abstract thought, organise
    behaviour, inhibition Executive functions

30
Contralateral
31
Basic neuropsychology
  • TASK LEFT HEMISPERE RIGHT HEMISPHERE
  • __________________________________________________
    ____________________________
  • Vision Translation of letters into
    sounds Recognition of faces
  • Hearing Language sounds Non-language sounds
    music
  • Memory Verbal memory Visual memory
  • Language Grammar Humour, emotional content
  • Mathematics Arithmetic Geometry
  • Problem solving Problems to be solved
    analytically Problems to be solved
    holistically
  • Complex tasks Performed one part at a
    time Performed all parts at a time
  • __________________________________________________
    _____________________________

32
Lateralised brains
  • Cognition has been argued to be lateralised, with
    the left hemisphere dominating for language
    processing and the right hemisphere dominating
    for spatial/ mathematical processing (Bryden,
    1982).
  • A sex difference is often reported, indicating a
    tendency in females to be left hemisphere biased
    and a tendency in males to be right hemisphere
    biased (Wisniewski, 1998).

33
Maths as an example
  • A right hemisphere advantage has been
    demonstrated for abstract numerical relations and
    a left hemisphere advantage for more discrete
    numerical information (Fink, et al., 2006).
  • The left hemisphere has been argued to have a
    bias for retrieving arithmetic facts, which may
    reflect the language-based methodology used
    within schools to teach arithmetic rather than
    any inherent bias of these areas for
    number-related information (Geary, 1995).

34
Hormones
  • Have an organisational and an activational effect
    (Goy and McEwen, 1980).
  • Prenatal gonadal hormones (sex steroids) exert
    long-lasting organizational influences on brain
    and behaviour in humans (Collaer and Hines, 1995)
  • Prenatal organisational
  • Circulating activational
  • Perinatal around time of birth

35
Testosterone and lateralisation
  • Higher levels of prenatal testosterone exposure
    may be associated with a greater degree of
    cerebral lateralisation for cognitive functions
    (Hines and Shipley, 1984).

36
Hypothesis
  • Prenatal testosterone influences brain structure,
    which influences cognition, which influences
    participation within Cyberpsychology.
  • But how can you measure prenatal testosterone?

37
Digit ratio
38
  • Index finger (2D) / ring finger (4D)
  • Male average 0.98
  • Female average 1.0
  • Males typically have longer 4D fingers than 2D
    fingers (more testosterone and therefore lower
    digit ratios) than females, who tend to be equal
    (Manning, 2002).

39
Preliminary investigations
  • The hypothesis is that, for the reasons outlined
    above, success within the computer culture will
    be predicted (at least in part) by exposure to
    prenatal testosterone. Two preliminary
    investigations examine this possibility, relating
    digit ratio with JAVA programming ability and
    computer anxiety.

40
Digit Ratio JAVA programming
  • 23 Masters students (18 males)
  • Both sexes had a mean digit ratio of 0.98 and
    there were no significant differences in JAVA
    marks between males and females.
  • The correlation between digit ratio and JAVA mark
    was significant, however r -0.56, p0.003.

41
DR JAVA programming 2
  • Sample 73 Students undertaking a JAVA
    programming course.
  • 60 males and 13 females. Aged 18-41, mean20.6
    (sd5.2)
  • There were no sex differences in performance,
    males 66 (sd18), females67 (sd23)
    (t710.21, ns) or digit ratio (males 0.98
    (sd0.04), females 0.99 (sd0.04) (t710.72,ns).
  • r -0.2, pindicative of greater exposure to prenatal
    testosterone significantly related to a higher
    JAVA score.

42
Digit ratio and computer games
  • Pilot, N18
  • List top 3 computer games currently played
  • Rated for violence (1Tetris, Freecell 4mortal
    combat, Resident Evil)
  • R-0.52, p0.014
  • (not time spent playing)

43
Digit ratio and Computer anxiety
  • DSM-IV comparison and clinical treatment (Brosnan
    and Thorpe, 2006 2007)
  • Again both sexes had a mean digit ratio of 0.98.
  • 161 undergraduate students (71 males)
  • There was a significant difference in computer
    anxiety, with females registering as more anxious
    than males (t2.55, p0.012).
  • For males, there was a significant positive
    correlation (r.24, p.02) and for females there
    was a significant negative correlation
    (r-.22, p0.019).

44
Maths again
  • Maths ability negatively correlates with digit
    ratio (Fink et al., 2006)
  • Reflected in 7 year olds SATs results (Brosnan,
    2008)

45
Here comes the but
  • The effects are small
  • Scientists do not all have low digit ratios
    (Brosnan, 2006)
  • Digit ratio does not correlate with systemising
    and empathising (Voracek and Dressler, 2006)
  • What about circulating hormones?

46
Back to evolution
  • There maybe biological factors that influence
    involvement within the computer culture
  • There maybe evolutionary factors that influence
    our perceptions of cyberpsychology

47
Dualism
  • We are natural born dualists
  • Bloom (2004)

48
Whitaker (2004)
  • Cartesian duality - that the soul and the body
    are separate entities - is deeply rooted in
    western culture. It articulates what appears to
    be a readily recognisable truth. I have a body,
    indeed I have a mind but I experience my "self"
    as something distinct, connected with but at the
    same time independent of the sum of my parts.

49
Bloom (2004)
  • Because we have evolved two separate capabilities
    we are predisposed to dualism
  • Do systemising/ empathising and/or digit ratio
    relate to ethopeic perceptions?

50
Media Equation
  • Computer ethopoeia responding to computers as
    though they were human while realising that such
    responses are not merited (Nass Moon, 2000).
  • Not all computer-related anger is preceded by an
    attribution of blame or of agency, as it should
    be according to most theorists (Frijda
    Zeelenberg, 2001).

51
  • If the right hemisphere is dominant for emotion
    and the left hemisphere dominant for logic, we
    need to link these two aspects to embrace
    cyberpsychology.
  • You are the corpus callosum!

52
Web readings
  • Primer on evolutionary psychology
  • http//www.psych.ucsb.edu/research/cep/
  • primer.html
  • Geek syndrome (Wired)
  • http//www.wired.com/wired/archive/9.12/aspergers.
    html
  • Origin of species (Darwin)
  • http//www.literature.org/authors/darwin-charles/t
    he-origin-of-species/
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