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A Lifelog Browser for Visualization and Search of Mobile Everyday-Life
2014
Mobile Information Systems
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The research for understanding, searching and summarizing the everyday-life of human has received increasing attention in recent years due to the digital convergence. ...
In this paper, we propose a mobile life browser, which visualizes and searches human's mobile life based on the contents and context of lifelog data. ...
Acknowledgments This work was supported by the industrial strategic technology development program, 10044828, development of augmenting multisensory technology for enhancing significant effect on service ...
doi:10.1155/2014/740452
fatcat:eqzz4k32bnbcddwpltztcagwue
Revisitation in Urban Space vs. Online
2018
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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We analyze a 1.5-year-long Foursquare check-in dataset with 266,909 users in 415 cities around the globe, as well as a Chinese social networking dataset on continuous localization of 15,000 users in Beijing ...
We compare our results to previous analysis on website and app revisitation, and highlight the similarities and differences between physical and cyber revisitation activities. ...
For example, companies, institutes, industry and offices are places for everyday work; residences are where people go home for daily; some restaurants are routinely for meals and some places for relaxation ...
doi:10.1145/3287034
fatcat:bmhbpjxdlrbjphrfqncssfwrkm
Direct, bodily or mobile interaction?
2012
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia - MUM '12
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The analysis is summarized in a form of design recommendations that should be considered when designing for interaction with personalized public displays. ...
In this work we investigate how interaction design can support the user in such a scenario. Through experimentation, we compare three interaction techniques: direct, bodily, and mobile-based. ...
In our experiment, mobile-based interaction with the personalized screen was understood and mastered quickly due to the replication of learnt metaphors from the everyday life. ...
doi:10.1145/2406367.2406421
dblp:conf/mum/KurdyukovaOA12
fatcat:rv5nqbvxszebjmcnggqzgngle4
Exploring Digital Image Frames for Lifestyle Intervention to Improve Well-being of Older Adults
2015
Proceedings of the 5th International Conference on Digital Health 2015 - DH '15
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Recommendations are chosen on the basis of sensor data and a well-being model to carefully decide on at which point in time what kind of activity will be most suitable to suggest. ...
The purpose of the recommender is to provide the user with context-specific recommendations. ...
An infrared (IR) distance sensor is used to detect the presence of a person in front of the device within a detection range of 20 to 150 cm. ...
doi:10.1145/2750511.2750514
dblp:conf/ehealth/SeidererHAMR15
fatcat:ymqyw5pc4bg7jebgnu742fchum
Personal informatics for everyday life: How users without prior self-tracking experience engage with personal data
2016
International Journal of Human-Computer Studies
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In order to investigate how users perceive and use self-tracking tools in everyday life, we conducted a diary study, requiring fourteen participants with no previous experience in Personal Informatics ...
Among them we found that the lack of suggestions on using data and the excess of abstract visualization in the apps prevented users to gain useful insights. ...
Nike þ), or by looking at user modeling techniques for solving privacy issues (2) and designing recommendations based on behavioral data (5). ...
doi:10.1016/j.ijhcs.2016.05.006
fatcat:rpzew5u3trh4vcto3lfodedjii
Friendbook: A Semantic-Based Friend Recommendation System for Social Networks
2015
IEEE Transactions on Mobile Computing
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In this paper, we present Friendbook, a novel semantic-based friend recommendation system for social networks, which recommends friends to users based on their life styles instead of social graphs. ...
Existing social networking services recommend friends to users based on their social graphs, which may not be the most appropriate to reflect a user's preferences on friend selection in real life. ...
This work was supported in part by NSF CNS-1017156 and CNS-0953238, and in part by NSFC 61273079 and NSFC 11174316. ...
doi:10.1109/tmc.2014.2322373
fatcat:ovxjypujlrerhdrcnjlrn7f3u4
What would you ask to your home if it were intelligent? Exploring user expectations about next-generation homes
2011
Journal of Ambient Intelligence and Smart Environments
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Whether this gap is due to the natural distance between research and engineered applications or to mismatching of needs and solutions remains to be understood. ...
Starting from a very simple and open question about what users would ask to their intelligent homes, we derived user perceptions about what intelligent homes can do, and we analyzed to what extent current ...
to improve their everyday life quality. ...
doi:10.3233/ais-2011-0099
fatcat:x5touedwnjcevjzgaouzngb554
What is this place? Inferring place categories through user patterns identification in geo-tagged tweets
2014
Proceedings of the 6th International Conference on Mobile Computing, Applications and Services
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While some location based online social network services (e.g., Foursquare) allow users to tag the places they visit, this is not an automated process but one which requires the user help. ...
In this paper we exploit the dynamics of human activity to associate categories to GPS coordinates of social network posts. We have collected geo-tagged tweets of a large city through Twitter. ...
ACKNOWLEDGMENT The work presented in this paper has been partially supported by European Commission, European Social Fund (ESF), Regione Calabria, and COST program Action IC1305, 'Network for Sustainable ...
doi:10.4108/icst.mobicase.2014.257683
dblp:conf/mobicase/FalconeMCTC14
fatcat:mxreore47rgkzilqfzbb24zp6i
Discovering Individual Life Style from Anonymized WiFi Scan Lists on Smartphones
2019
IEEE Access
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Given the issue of user privacy, in this paper, we explore anonymized WiFi scan lists to discover users' lifestyle. ...
WiFi scan lists on one smartphone, i.e., scan results of the network in a range, can roughly indicate the physical location of the phone in a time period. ...
Then she goes outside for lunch in a frequently visited restaurant near her workplace. After lunch she comes back to the work office and stays there until 5pm. At last, she leaves for home. ...
doi:10.1109/access.2019.2899002
fatcat:mebtsgzv2bgijbqjdyisnl5req
Proactive Assistive Technology: An Empirical Study
[chapter]
2007
Lecture Notes in Computer Science
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Specifically, we focus on aspects related to the modalities in which interaction can occur between an elder user and an assistive robotic agent. ...
for the elder user. ...
Acknowledgements Special thanks to the colleagues of the Dept. of Computer and Systems Science (DIS) of the University of Rome "La Sapienza" for joint work on the ROBOCARE intelligent environment. ...
doi:10.1007/978-3-540-74796-3_25
fatcat:vwivix5orfavzkpsajaagwlvhe
A Context Aware Mobile Application for Physical Activity Promotion
2015
2015 48th Hawaii International Conference on System Sciences
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are part of everyday life" (Dunn et al., 1998) . ...
to help them easily fit daily activities in everyday life and to trigger them to go to green places more often. ...
Security of Personal Information Your personal information is stored in our computers server of our group. ...
doi:10.1109/hicss.2015.386
dblp:conf/hicss/Hamper15
fatcat:gza7aln5zfhkvjq3dvhj6mru3y
Ensuring Privacy during Pervasive Logging by a Passerby
2014
Journal of Information Processing
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Our privacy framework allows the user of a logging device to define privacy policies controlling when, where and who to restrict from logging them. ...
People may wish to have some control over the lifelogging devices of others and, in this article, we describe a framework to restrict anonymous logging, unless explicitly permitted. ...
A user may, for example, wish to avoid logging by friends in the office during working hours, but is happy for these people to log data on them when outside the office during leisure time. ...
doi:10.2197/ipsjjip.22.334
fatcat:aafpox2perf6vhsgahw5ujfsnq
The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior
2018
PLoS ONE
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The two modules are discussed in detail focusing on the design of the VSP system with adequate capacity for continuous monitoring and a webbased interactive data analysis method to visualize and compare ...
The data was collected in an experiment with a small group of subjects. ...
In addition, the authors would like to thank the anonymous reviewers who provided very helpful comments to improve the overall quality of this manuscript. ...
doi:10.1371/journal.pone.0195670
pmid:29897910
pmcid:PMC5999082
fatcat:rlu4qe7qwvck3fmsqaivlke3qe
Data Mining on Social Interaction Networks
[article]
2014
arXiv
pre-print
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Social media and social networks have already woven themselves into the very fabric of everyday life. ...
Additionally, we present novel methods for descriptive data mining for uncovering and extracting relations and patterns for hypothesis generation and exploration, in order to provide characteristic information ...
, community detection, or recommendations. ...
arXiv:1312.6675v2
fatcat:mgv3c47dzjg6vio3o4jbv3nqim
Rapid Assessment of Needs and Services in Long-Term Care
2019
Revija za Socijalnu Politiku
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Since Slovenia does not yet have a longterm care system based on long-term care legislation, while the demographic trends show a great need for it, it is essential to investigate the needs of older people ...
There is no one available to take care of the older population and this trend will continue in the future. ...
They use these skills in everyday life, are appreciated for them among their co-residents and are able to stay active in old age because of them. ...
doi:10.3935/rsp.v26i2.1603
fatcat:o6ickiiddnfxno2dat4e4f3mki
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