Designing for Usability of an Adaptive Time Management Assistant

  • Julie Sage Weber University of Michigan
  • Neil Yorke-Smith American University of Beirut, Lebanon and SRI International, USA
Keywords: adaptive interaction, scheduling, time management


This case study article describes the iterative design process of an adaptive, mixed-initiative calendaring tool with embedded artificial intelligence.  We establish the specific types of assistance in which the target user population expressed interest, and we highlight our findings regarding the scheduling practices and the reminding preferences of these users.  These findings motivated the redesign and enhancement of our intelligent system.  Lessons learned from the study—namely, highlighting the merits of usability toward widespread adoption and retention, and that simple problems that perhaps do not necessitate complex AI-based solutions should not go unattended merely due to their inherent simplicity—conclude the article, along with a discussion of the importance of the iterative design process for any user adaptive system.

Author Biographies

Julie Sage Weber, University of Michigan
Doctoral StudentComputer Science and Engineering
Neil Yorke-Smith, American University of Beirut, Lebanon and SRI International, USA

Research Scientist
SRI International