research-article

Need accurate user behaviour?: pay attention to groups!

Authors:

Kasthuri Jayarajah,

Rajesh Krishna BalanAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 855 - 866

https://doi.org/10.1145/2750858.2804289

Published: 07 September 2015 Publication History

Abstract

In this paper, we show that characterizing user behaviour from location or smartphone usage traces, without accounting for the interaction of individuals in physical-world groups, can lead to erroneous results. We conducted one of the largest studies in the UbiComp domain thus far, involving indoor location traces of more than 6,000 users, collected over a 4-month period at our university campus, and further studied fine-grained App usage of a subset of 156 Android users. We apply a state-of-the-art group detection algorithm to annotate such location traces with group vs. individual context, and then show that individuals vs. groups exhibit significant differences along three behavioural traits: (1) the mobility pattern, (2) the responsiveness to calls / SMSs and (3) application usage. We show that these significant differences are robust to underlying errors in the group detection technique and that the use of such group context leads to behavioural results that differ from those reported in prior popular work.

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Cited By

Hernández-Calderón JBenítez-Guerrero ERojano-Cáceres JMezura-Godoy C(2024)Mining User-Object Interaction Data for Student Modeling in Intelligent Learning EnvironmentsProgramming and Computer Software10.1134/S036176882308008X49:8(657-670)Online publication date: 24-Jan-2024
https://doi.org/10.1134/S036176882308008X
Zakaria CTrivedi ACecchet EChee MShenoy PBalan R(2022)Analyzing the Impact of COVID-19 Control Policies on Campus Occupancy and Mobility via WiFi SensingACM Transactions on Spatial Algorithms and Systems10.1145/35165248:3(1-26)Online publication date: 22-Sep-2022
https://dl.acm.org/doi/10.1145/3516524
O'Brien OSumich DKanjo DKuss D(2022)WiFi at University: A Better Balance between Education Activity and Distraction Activity Needed.Computers and Education Open10.1016/j.caeo.2021.1000713(100071)Online publication date: Dec-2022
https://doi.org/10.1016/j.caeo.2021.100071
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Index Terms

Need accurate user behaviour?: pay attention to groups!
1. Applied computing
  1. Law, social and behavioral sciences

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Information & Contributors

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Published In

cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

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 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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Yahoo! Japan: Yahoo! Japan
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Singapore National Research Foundation

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UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Hernández-Calderón JBenítez-Guerrero ERojano-Cáceres JMezura-Godoy C(2024)Mining User-Object Interaction Data for Student Modeling in Intelligent Learning EnvironmentsProgramming and Computer Software10.1134/S036176882308008X49:8(657-670)Online publication date: 24-Jan-2024
https://doi.org/10.1134/S036176882308008X
Zakaria CTrivedi ACecchet EChee MShenoy PBalan R(2022)Analyzing the Impact of COVID-19 Control Policies on Campus Occupancy and Mobility via WiFi SensingACM Transactions on Spatial Algorithms and Systems10.1145/35165248:3(1-26)Online publication date: 22-Sep-2022
https://dl.acm.org/doi/10.1145/3516524
O'Brien OSumich DKanjo DKuss D(2022)WiFi at University: A Better Balance between Education Activity and Distraction Activity Needed.Computers and Education Open10.1016/j.caeo.2021.1000713(100071)Online publication date: Dec-2022
https://doi.org/10.1016/j.caeo.2021.100071
Toch EChassidim HHatuka T(2020)Can you Turn it Off?Proceedings of the ACM on Human-Computer Interaction10.1145/34151624:CSCW2(1-18)Online publication date: 15-Oct-2020
https://dl.acm.org/doi/10.1145/3415162
Kaur MSalim FRen YChan JTomko MSanderson M(2020)Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor BehaviorsACM Transactions on Sensor Networks10.1145/339369216:3(1-25)Online publication date: 13-Aug-2020
https://dl.acm.org/doi/10.1145/3393692
Kandappu TMehrotra AMisra AMusolesi MCheng SMeegahapola LO'Brien HFreund LArapakis IHoeber OLopatovska I(2020)PokeMEProceedings of the 2020 Conference on Human Information Interaction and Retrieval10.1145/3343413.3377965(3-12)Online publication date: 14-Mar-2020
https://dl.acm.org/doi/10.1145/3343413.3377965
Sandha SNoor JAnwar FSrivastava M(2020)Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)10.1109/IoTDI49375.2020.00022(149-156)Online publication date: Apr-2020
https://doi.org/10.1109/IoTDI49375.2020.00022
Solmaz GFurst JAytac SWu F(2020)Group-In: Group Inference from Wireless Traces of Mobile Devices2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN48710.2020.00-38(157-168)Online publication date: Apr-2020
https://doi.org/10.1109/IPSN48710.2020.00-38
Yu ZWang ZYu ZWang Z(2020)Group Behavior RecognitionHuman Behavior Analysis: Sensing and Understanding10.1007/978-981-15-2109-6_6(139-218)Online publication date: 1-Mar-2020
https://doi.org/10.1007/978-981-15-2109-6_6
Hernández-Calderón JBenítez-Guerrero ERojano-Cáceres JMezura-Godoy C(2019)A System to Match Behaviors and Performance of Learners From User-Object InteractionsInternational Journal of Information Technologies and Systems Approach10.4018/IJITSA.201907010512:2(82-103)Online publication date: Jul-2019
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