Bringing the User Back into Scheduling:

1
Bringing the User Back into Scheduling
S
Two Case Studies of Interaction with Intelligent
Scheduling Assistants
www.sri.com
Hypothesis Real-World domains are better served
by collaborative approaches that involve the user
in the scheduling process than full-automation
PTIME Personalized Time Management
Elicit Preferences
0
Choose Request
3
Elicit Request
1
Mixed Initiative Collaboration via

• Intuitive elicitation of requests
• Unobtrusive adaptation to Users personal
  preferences

User Study
Pisces Large-Scale Logistics Scheduling

• User-enabled exploration of solution space
• User manipulation of solution and solution
  criteria
• Multiple and diagnostic views

Problem
User
Spec.
(Goals)
Pisces UI
Problem Session Management
Schedule Session State
Scheduling Engine

• Continuous, incremental schedule improvement
• Rapid response, anytime solution generation
• Support for complex evaluation functions
• Resource balance, stability, activities included
• Support for specialized query directives
• Reduce peak in certain regions Resource
  Flattening
• Keep activity in schedule Fix an activity in
  time
• Shift Left and Right

• Pauline Berry, Bart Peintner and Neil Yorke-Smith
• Artificial Intelligence Center, SRI
  International, 333 Ravenswood Ave, Menlo Park, CA
  94025
• berry, peintner, nysmith_at_ai.sri.com