[mod.ai] Seminar - Facing the User

Sharon.Burks@A.CS.CMU.EDU (03/14/86)

THOMAS MORAN, Xerox PARC
Wednesday, March 19
4:00 PM
WeH 7500
 
				FACING THE USER
 
 
It  is about time that we design workstations that can really help users engage
in extended intellectual tasks.  Advances in workstation technology, which  are
easing  the  obvious  technological  limitations  (eg, memory, speed, or screen
space), will not automatically solve the problem.  Rather, they will  begin  to
expose  our  lack of understanding of users and their tasks.  Several important
cognitive and social features of users must be confronted  or  exploited:    In
complex  tasks  such  as  scientific  research,  engineering  design,  or legal
analysis, we find users struggling and exploring; their understanding of  their
tasks  evolve  from  vague  thoughts  to  sensible  structured ideas.  They are
continually learning about the system as well as their task.   They  are  doing
many  different things at the same time.  They cooperate and collaborate.  They
form informal communities.  To design a  workstation  for  this  user,  I  will
advocate  a  strategy  based  on  the  notion  of  an  evolvable  system  -- an
interactive system that  can  evolve  with  the  user  through  his  phases  of
understanding.    According  to  this  strategy,  the system should be based on
direct-manipulation editing and structuring. The system should be  built  on  a
simple  ontological world which the user is encouraged to evolve with his task.
The  system  should  support  explicit   idea   processing:   the   generation,
representation, and exploration of idea structures.  It should exploit animated
spatial representations of structures.  It should reify the user's  process  of
exploration.    Finally,  a  community should be grown along with the system to
support mutual learning.  Progress on several user science issues are needed to
provide  a  foundation  for such systems: analyses of large-scale cognitive and
social processes, refined models of cognitive skill, models of  consistency  to
support learning and understanding, models of the use of external memories, and
models of human-machine interaction.