survey

Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

Authors:

Veljko Pejovic,

Mirco MusolesiAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 3

Article No.: 47, Pages 1 - 29

https://doi.org/10.1145/2693843

Published: 01 April 2015 Publication History

Abstract

Today’s mobile phones are far from the mere communication devices they were 10 years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users’ location, activity, social setting, and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.

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Jiang WGoncalves JKostakos V(2024)Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and ApplicationsACM Computing Surveys10.1145/365259656:8(1-36)Online publication date: 10-Apr-2024
https://dl.acm.org/doi/10.1145/3652596
Tang YHou JHuang XShao ZYang Y(2024)Green Edge Intelligence Scheme for Mobile Keyboard Emoji PredictionIEEE Transactions on Mobile Computing10.1109/TMC.2023.324395523:2(1888-1901)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TMC.2023.3243955
Alikhanov JZhang PNoh YKim H(2024)Design of Contextual Filtered Features for Better Smartphone-User Receptivity PredictionIEEE Internet of Things Journal10.1109/JIOT.2023.333171511:7(11707-11722)Online publication date: 1-Apr-2024
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Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 3

April 2015

602 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2737799

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL

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Copyright © 2015 ACM.

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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2015

Accepted: 01 December 2014

Revised: 01 September 2014

Received: 01 June 2013

Published in CSUR Volume 47, Issue 3

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Cited By

Jiang WGoncalves JKostakos V(2024)Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and ApplicationsACM Computing Surveys10.1145/365259656:8(1-36)Online publication date: 10-Apr-2024
https://dl.acm.org/doi/10.1145/3652596
Tang YHou JHuang XShao ZYang Y(2024)Green Edge Intelligence Scheme for Mobile Keyboard Emoji PredictionIEEE Transactions on Mobile Computing10.1109/TMC.2023.324395523:2(1888-1901)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TMC.2023.3243955
Alikhanov JZhang PNoh YKim H(2024)Design of Contextual Filtered Features for Better Smartphone-User Receptivity PredictionIEEE Internet of Things Journal10.1109/JIOT.2023.333171511:7(11707-11722)Online publication date: 1-Apr-2024
https://doi.org/10.1109/JIOT.2023.3331715
Liebherr M(2024)Modalities of AI Operations and Their Impact on Users’ Attitude Towards AIThe Impact of Artificial Intelligence on Societies10.1007/978-3-031-70355-3_3(25-40)Online publication date: 19-Dec-2024
https://doi.org/10.1007/978-3-031-70355-3_3
S.Maheswari B.Deepa S.Keetha G.Suganthi (2023)MACHINE LEARNING AT THE EDGE: A DATA-DRIVEN ARCHITECTURE WITH APPLICATIONS TO 5G CELLULAR NETWORKSinternational journal of engineering technology and management sciences10.46647/ijetms.2023.v07i02.0757:2(668-686)Online publication date: 2023
https://doi.org/10.46647/ijetms.2023.v07i02.075
Schulz JFitzek FNguyen GNguyen VSeeling P(2023)Anticipatory Hand Glove: Understanding Human Actions for Enhanced InteractionAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610714(170-174)Online publication date: 8-Oct-2023
https://dl.acm.org/doi/10.1145/3594739.3610714
Bisante A(2023)New generation Car Navigation Systems enhancing Human-Computer Interaction and exploiting sensors and machine learning on the smartphoneCompanion Proceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581754.3584113(237-239)Online publication date: 27-Mar-2023
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Nguyen LSigg SLietzen JFindling RRuttik K(2023)Camouflage Learning: Feature Value Obscuring Ambient Intelligence for Constrained DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2021.309227122:2(781-796)Online publication date: 1-Feb-2023
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Alnawayseh SKhan TFarooq UZulfiqar SKhan SAl-Kassem A(2023)Research Challenges and Future Facet Of Cellular Computing2023 International Conference on Business Analytics for Technology and Security (ICBATS)10.1109/ICBATS57792.2023.10111407(1-8)Online publication date: 7-Mar-2023
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Kopf LHuh-Yoo J(2023)A User-Centered Design Approach to Developing a Voice Monitoring System for Disorder PreventionJournal of Voice10.1016/j.jvoice.2020.10.01537:1(48-59)Online publication date: Jan-2023
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