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Analyzing and Predicting Task Reminders

Published: 13 July 2016 Publication History

Abstract

Automated personal assistants such as Siri, Cortana, and Google Now provide services to help users accomplish tasks, including tools to set reminders. We study how people specify and use reminders. Our study analyzes a sample of six months of logs of user-specified reminders from Cortana (Microsoft's intelligent personal assistant), the first large-scale analysis of such reminders. We focus our analyses on time-based reminders, the most common type of reminder found in the logs. We perform a data-driven analysis to identify common categories of tasks that give rise to these reminders across a large number of users, and we arrange these tasks into a taxonomy. We identify temporal patterns linked to the type of task, time of creation, and terms in the reminder text. Finally, we show that these patterns generalize by addressing a prediction task. Specifically, we show that a reminder's creation time is a strong feature in predicting the notification time, and that including the reminder text further improves prediction accuracy. The results have implications for the design of systems aimed at helping people to complete tasks and to plan future activities.

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  • (2024)WorkR: Occupation Inference for Intelligent Task AssistanceProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676622(118-124)Online publication date: 5-Oct-2024
  • (2024)Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing AssistantACM Transactions on Information Systems10.1145/364950042:5(1-29)Online publication date: 29-Apr-2024
  • (2024)AIDoList - AI Powered Task Management System2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC)10.1109/ICEC59683.2024.10837412(1-6)Online publication date: 23-Nov-2024
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cover image ACM Conferences
UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
July 2016
366 pages
ISBN:9781450343688
DOI:10.1145/2930238
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 July 2016

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Author Tags

  1. intelligent assistant
  2. log studies
  3. prospective memory
  4. reminders

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UMAP '16
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UMAP '16: User Modeling, Adaptation and Personalization Conference
July 13 - 17, 2016
Nova Scotia, Halifax, Canada

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UMAP '16 Paper Acceptance Rate 21 of 123 submissions, 17%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

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  • (2024)WorkR: Occupation Inference for Intelligent Task AssistanceProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676622(118-124)Online publication date: 5-Oct-2024
  • (2024)Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing AssistantACM Transactions on Information Systems10.1145/364950042:5(1-29)Online publication date: 29-Apr-2024
  • (2024)AIDoList - AI Powered Task Management System2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC)10.1109/ICEC59683.2024.10837412(1-6)Online publication date: 23-Nov-2024
  • (2023)Managing Tasks across the Work–Life Boundary: Opportunities, Challenges, and DirectionsACM Transactions on Computer-Human Interaction10.1145/358242930:3(1-31)Online publication date: 31-Jan-2023
  • (2022)An Intelligent Recommendation-cum-Reminder SystemProceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)10.1145/3493700.3493724(169-177)Online publication date: 8-Jan-2022
  • (2022)Simulating Human Imprecision in Temporal Statements of Intelligent Virtual AgentsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517625(1-15)Online publication date: 29-Apr-2022
  • (2021)Grounded Task Prioritization with Context-Aware Sequential RankingACM Transactions on Information Systems10.1145/348686140:4(1-28)Online publication date: 8-Dec-2021
  • (2021)Bridging Task Expressions and Search QueriesProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446045(319-323)Online publication date: 14-Mar-2021
  • (2021)Smart Personal Task SchedulerIntelligent Manufacturing and Energy Sustainability10.1007/978-981-16-6482-3_44(443-451)Online publication date: 11-Dec-2021
  • (2020)The effect of metacognitive training on confidence and strategic reminder settingPLOS ONE10.1371/journal.pone.024085815:10(e0240858)Online publication date: 23-Oct-2020
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