My talk from SXSW Interactive 2014
What happens when you take a photo of every fragment of your life?
All those micro moments that are recorded and analysed. Has your visual existence been enhanced? What would you learn from your signature photographic aesthetic?
This talk will explore the notion that an 'unexamined (visual) life is not worth living'.
My talk will explore the implications of what mainstream visual life logging means for individuals, culture and photography.
The talk will use data from my trial of a leading visual life logging wearable camera.
I will mix quantified self analytics with ‘qualified self’ data to interpret my visual record and its signature aesthetic.
I will contrast the culture of visual life logging with the rituals of analogue photographic albums to gain a better understanding of how we are changing the way we preserve and narrate memories and share experiences across the social graph.
19. “…the desire to photograph the
whole world is not an attempt to
recover or create memories…
It is a need to affirm experience as
expressible and to create an aura of
talismanic protection.
Sometimes to gain that affirmation
you have to give up pursuing it.”
Will Steacy
Source: Photographs Not Taken, Will Steacy
20. “…finding highlights key
differences between people’s
memory and the camera’s
“memory” and suggests that the
additional attentional and
cognitive processes engaged by
this focused activity can eliminate
the photo-taking-impairment
effect.”
Taking photos can impair your ability to remember…
Source: Linda Henkel, Fairfield University, Point and Shoot Memories, 2014
21. …but can digital archives make memories more ‘true’?
Source: Scott Fraser
22. We need a Search Engine For The Self
Source: Memory Mesh: Cognitive Psychology Linking for Ememories / Cathal Gurrin
34. Life Curation Agent
The
Life
Cura,on
Agent
is
your
complete
visual
life
logging
pla9orm.
It
can
integrate
with
all
your
tracking
devices,
auto
curate
your
life
and
enhance
your
life
stories.
Choose
your
cura,on
avatar
type
that
will
learn
how
to
explore
and
find
the
paBerns
of
significance
in
your
archive.
Source: @deemac99 / Creative Commons