research-article

User experiences with activity-based navigation on mobile devices

Authors:

A.J. Bernheim Brush,

Amy K. Karlson,

Steven LeviAuthors Info & Claims

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Pages 73 - 82

https://doi.org/10.1145/1851600.1851616

Published: 07 September 2010 Publication History

Abstract

We introduce activity-based navigation, which uses human activities derived from sensor data to help people navigate, in particular to retrace a "trail" previously taken by that person or another person. Such trails may include step counts, walking up/down stairs or taking elevators, compass directions, and photos taken along a user's path, in addition to absolute positioning (GPS and maps) when available. To explore the user experience of activity-based navigation, we built Greenfield, a mobile device interface for finding a car. We conducted a ten participant user study comparing users' ability to find cars across three different presentations of activity-based information as well as verbal instructions. Our results show that activity-based navigation can be used for car finding and suggest its promise more generally for supporting navigation tasks. We present lessons for future activity-based navigation interfaces, and motivate further work in this space, particularly in the area of robust activity inference.

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Cited By

Jackermeier RLudwig B(2021)Smartphone-Based Activity Recognition in a Pedestrian Navigation ContextSensors10.3390/s2109324321:9(3243)Online publication date: 7-May-2021
https://doi.org/10.3390/s21093243
Dasler PMalik SMauriello M(2021)“Just Follow the Lights”International Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102692155:COnline publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1016/j.ijhcs.2021.102692
Akpinar EYeşilada YTemizer S(2020)The Effect of Context on Small Screen and Wearable Device Users’ Performance - A Systematic ReviewACM Computing Surveys10.1145/338637053:3(1-44)Online publication date: 28-May-2020
https://dl.acm.org/doi/10.1145/3386370
Show More Cited By

Index Terms

User experiences with activity-based navigation on mobile devices
1. Human-centered computing

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Published In

cover image ACM Other conferences

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

September 2010

552 pages

ISBN:9781605588353

DOI:10.1145/1851600

General Chairs:
Marco de Sá
LaSIGE & University of Lisboa, Portugal
,
Luís Carriço
LaSIGE & University of Lisboa, Portugal
,
Program Chair:
Nuno Correia
CITI & New University of Lisboa, Portugal

Copyright © 2010 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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Published: 07 September 2010

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MobileHCI '10

MobileHCI '10: 12th International Conference on Human Computer Interaction with Mobile Devices and Services

September 7 - 10, 2010

Lisbon, Portugal

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MobileHCI '10 Paper Acceptance Rate 46 of 225 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

Jackermeier RLudwig B(2021)Smartphone-Based Activity Recognition in a Pedestrian Navigation ContextSensors10.3390/s2109324321:9(3243)Online publication date: 7-May-2021
https://doi.org/10.3390/s21093243
Dasler PMalik SMauriello M(2021)“Just Follow the Lights”International Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102692155:COnline publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1016/j.ijhcs.2021.102692
Akpinar EYeşilada YTemizer S(2020)The Effect of Context on Small Screen and Wearable Device Users’ Performance - A Systematic ReviewACM Computing Surveys10.1145/338637053:3(1-44)Online publication date: 28-May-2020
https://dl.acm.org/doi/10.1145/3386370
Amira TDan IAtta BSaid GAz-eddine BKatarzyna W(2019)Stress Level Classification Using Heart Rate VariabilityAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0403064:3Online publication date: 2019
https://doi.org/10.25046/aj040306
Amroun H(Hamy) Temkit MAmmi M(2018)Deep Learning Approach of Raw Human Activity DataChallenges of the Internet of Things10.1002/9781119549765.ch2(27-51)Online publication date: 12-Oct-2018
https://doi.org/10.1002/9781119549765.ch2
Roy QPerrault SZhao SDavis RPattena Vaniyar AVechev VLee YMisra AMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Follow-My-LeadProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025976(5703-5715)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025976
Amroun HOuarti NTemkit MAmmi M(2017)Impact of the Positions Transition of a Smartphone on Human Activity Recognition2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)10.1109/iThings-GreenCom-CPSCom-SmartData.2017.144(937-942)Online publication date: Jun-2017
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.144
Amroun HTemkit MAmmi M(2017)Recognition of Human Activity Using Paired Connected Objects2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)10.1109/iThings-GreenCom-CPSCom-SmartData.2017.123(806-809)Online publication date: Jun-2017
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.123
Amroun HTemkit MAmmi M(2017)DNN-Based Approach for Recognition of Human Activity Raw Data in Non-Controlled Environment2017 IEEE International Conference on AI & Mobile Services (AIMS)10.1109/AIMS.2017.26(121-124)Online publication date: Jun-2017
https://doi.org/10.1109/AIMS.2017.26
Pearson JRobinson SJones M(2017)BookMarkInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2017.02.001103:C(22-34)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.ijhcs.2017.02.001
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