Abstract
We motivate and overview a system for schedule management assistance that we are developing specifically to help adolescents with disabilities who are transitioning to independent adulthood. We summarize how we have overcome a number of engineering challenges in creating a prototype system. The expert feedback on our prototype suggests how and why the tool is expected to be useful, and has directed our focus toward handling schedule disruptions. In the latter part of this paper, we provide deeper technical material on new metrics and strategies for giving scheduling advice that is resilient to disruptions while also giving the user more freedom.
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Notes
If on a particular day the activity’s time needs fall outside this range, or it needs to start sooner or end later than usual, then as will be explained shortly the user can “Modify” the activity in the midst of the day.
Improving this part of the interface to strike the right balance between informing and not overwhelming the user is an area of future research (Section 13).
In our prototype, we “fast forward” to the end of the chosen activity in simulation by tapping the UI area labeled “Advance system time to next decision point.”
In our user interface (Section 6), this is the upper bound on the “other” activity’s time.
References
AbleLink: Endeavor 3. https://www.ablelinktech.com/index.php?id=29
Barbulescu L, Rubinstein ZB, Smith SF, Zimmerman T (2010) Distributed coordination of mobile agent teams: the advantage of planning ahead. In: Proceedings of the 9th international conference on autonomous agents and multiagent systems, pp 1331–1338
Boerkoel J Jr, Durfee EH (2013) Distributed reasoning for multiagent simple temporal problems. J Artif Intell Resh (JAIR) 47:95–156
Boerkoel JC Jr (2012) Distributed approaches for solving constraint-based multiagent scheduling problems. University of Michigan, Ph.D. thesis
Boerkoel JC Jr, Durfee EH (2012) A distributed approach to summarizing spaces of multiagent schedules. In: Association for the advancement of artificial intelligence, pp 1742–1748
Boerkoel J Jr, Durfee EH (2013) Decoupling the multiagent disjunctive temporal problem. In: Proceedings of the 2013 international conference on autonomous agents and multi-agent systems, pp 1145–1146
Boerkoel J Jr, Planken L, Wilcox R, Shah JA (2013) Distributed algorithms for incrementally maintaining multiagent simple temporal networks. In: International conference on automated planning and scheduling, pp 11–19
Brooks J, Reed E, Gruver A, Boerkoel JC (2015) Robustness in probabilistic temporal planning. In: AAAI, pp 3239–3246
Capterra: scheduling software buyers guide. https://www.capterra.com/scheduling-software/
Conrad PR, Williams BC (2011) Drake: an efficient executive for temporal plans with choice. J Artif Intell Res, 607–659
Cozi: https://www.cozi.com/
Dechter R, Meiri I, Pearl J (1991) Temporal constraint networks. Artif Intell 49(1):61–95
Durfee EH, Boerkoel JC, Sleight J (2014) Using hybrid scheduling for the semi-autonomous formation of expert teams. Futur Gener Comput Syst 31:200–212
Evernote: https://evernote.com
Gomes CP (2001) On the intersection of AI and OR. Knowl Eng Rev 16 (01):1–4
Goodin RE, Rice JM, Parpo A, Eriksson L (2008) Discretionary time: a new measure of freedom. Cambridge University Press
Google: Calendar. https://www.google.com/calendar
Hunsberger L (2002) Algorithms for a temporal decoupling problem in multi-agent planning. AAAI/IAAI 2002:468–475
Hunsberger L (2003) Distributing the control of a temporal network among multiple agents. In: Proceedings of the second international joint conference on autonomous agents and multiagent systems, pp 899–906
Hunsberger L (2009) Fixing the semantics for dynamic controllability and providing a more practical characterization of dynamic execution strategies. In: 16th International symposium on temporal representation and reasoning (TIME 2009). IEEE, pp 155–162
Laborie P (2003) Algorithms for propagating resource constraints in AI planning and scheduling: existing approaches and new results. Artif Intell 143(2):151–188
Lau HC, Li J, Yap RH (2006) Robust controllability of temporal constraint networks under uncertainty. In: 18th IEEE International conference on tools with artificial intelligence (ICTAI’06). IEEE, pp 288–296
Lennon J, Klages K, Amaro C, Murray C, Holmbeck G (2015) Longitudinal study of neuropsychological functioning and internalizing symptoms in youth with spina bifida: social competence as a mediator. Pediatric Psychol 40(3):336–348
Microsoft: Outlook. https://outlook.live.com/owa/
Morris PH, Muscettola N (2005) Temporal dynamic controllability revisited. In: AAAI, pp 1193– 1198
Nelson B, Kumar TS (2008) Circuittsat: a solver for large instances of the disjunctive temporal problem. In: ICAPS, pp 232–239
Oddi A, Rasconi R, Cesta A (2010) Casting project scheduling with time windows as a DTP. In: Proceedings of the ICAPS workshop on constraint satisfaction techniques for planning and scheduling problems (COPLAS 2010), pp 42–49
Peintner B, Venable KB, Yorke-Smith N (2007) Strong controllability of disjunctive temporal problems with uncertainty. In: Principles and practice of constraint programming–CP 2007. Springer, pp 856–863
Planken L, De Weerdt M, Van der Krogt R (2008) P3C: a new algorithm for the simple temporal problem. In: Proceedings of the eighteenth international conference on automated planning and scheduling (ICAPS 2008), pp 256–263
Planken L, de Weerdt M, Yorke-Smith N (2010) Incrementally solving STNs by enforcing partial path consistency. In: ICAPS, pp 129–136
Shah JA, Stedl J, Williams BC, Robertson P (2007) A fast incremental algorithm for maintaining dispatchability of partially controllable plans. In: ICAPS, pp 296–303
Shah JA, Williams BC (2008) Fast dynamic scheduling of disjunctive temporal constraint networks through incremental compilation. In: ICAPS, pp 322–329
SmartDay: http://mysmartday.com/
Smith SF, Gallagher A, Zimmerman T (2007) Distributed management of flexible time schedules. In: Proceedings of the 6th international joint conference on autonomous agents and multiagent systems (AAMAS07), pp 472–479
Tarazi R, Zabel T, Mahone E (2008) Age-related differences in executive function among children with spina bifida/hydrocephalus based on parent behavior ratings. Clin Neuropsychol 22(4):585– 602
TickTick: https://ticktick.com
Tsamardinos I (2001) Constraint-based temporal reasoning algorithms with applications to planning. University of Pittsburgh, Ph.D. thesis
Tsamardinos I, Pollack ME (2003) Efficient solution techniques for disjunctive temporal reasoning problems. Artif Intell 151(1):43–89
Tsamardinos I, Vidal T, Pollack ME (2003) CTP: a new constraint-based formalism for conditional, temporal planning. Constraints 8(4):365–388
Venable KB, Yorke-Smith N (2005) Disjunctive temporal planning with uncertainty. In: International joint conference on artificial intelligence, pp 1721–1722
Vidal T (1999) Handling contingency in temporal constraint networks: from consistency to controllabilities. J Exper Theor Artif Intell 11(1):23–45
Vidal T, Fargier H (1999) Handling contingency in temporal constraint networks: from consistency to controllabilities. J Exper Theor Artif Intell 11:23–45
Warschausky S, Kaufman JN, Evitts M, Schutt W, Hurvitz EA (2017) Mastery motivation and executive functions as predictors of adaptive behavior in adolescents and young adults with cerebral palsy or myelomeningocele. Rehabil Psychol 62(3):258–267
Warschausky S, Kaufman JN, Schutt W, Evitts M, Hurvitz EA (2017) Health self-management, transition readiness and adaptive behavior in persons with cerebral palsy or myelomeningocele. Rehabil Psychol 62(3):268–275
Wikipedia: Comparison of xml editors. https://en.wikipedia.org/wiki/Comparison_of_XML_editors
Wilson M, Klos T, Witteveen C, Huisman B (2013) Flexibility and decoupling in the simple temporal problem. In: BNAIC 2013: proceedings of the 25th benelux conference on artificial intelligence, Delft
Xu L, Choueiry BY (2003) A new efficient algorithm for solving the simple temporal problem. In: Proceedings of the tenth international symposium on temporal representation and reasoning, and fourth international conference on temporal logic (TIME-ICTL 03), pp 212–222
Zabel T, Jacobson LA, Zachik C, Levey E, Kinsman S, Mahone E (2011) Parent- and self-ratings of executive functions in adolescents and young adults with spina bifida. Clin Neuropsychol 25(6):926–941
Acknowledgments
Thanks to our collaborators (Dr. Ned Kirsch, Dr. Jason Sleight, Donna Omichinski, Drew Davis, Jordan McKay, and Drew Canada).
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This work has been supported, in part, by the by the US HHS under NIDILRR grant 90RE5012.
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Durfee, E.H., Garrett, L.H. & Johnson, A. Promoting Independence with a Schedule Management Assistant that Anticipates Disruptions. J Healthc Inform Res 4, 19–49 (2020). https://doi.org/10.1007/s41666-019-00060-5
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DOI: https://doi.org/10.1007/s41666-019-00060-5