PerCom 2012 - Work in Progress - 1 minute madness slide

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The teaser slide for PerCom 2012 Work in Progress poster session

Technology Business

RoutineMaker
Towards End-user Automation of Daily Routines using
Smartphones
Ville Antila, Jussi Polet, Arttu Lämsä, Jussi Liikka
VTT Technical Research Centre of Finland, Oulu

Image sources:
http://adage.com/article/digital/placing-ads-underestimate-mobile/230853/
http://www.resultrix.com/blog/index.php/tag/tablet-marketing
http://www.google.com/googleblogs/pdfs/mobile_understanding_smartphone_users.pdf

What we did...

•
Developed an approach to detect the day-
to-day ‘routines’ by logging the smartphone
application usage and locations

•
Developed an algorithm to process and
analyze the logged usage data into
identiﬁable patterns

•
Implemented a smartphone
application with a functionality
to create automated ‘tasks’ out
of the identiﬁed patterns

•
Conducted a two-week user
study to analyze the approach
and to receive user feedback

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In this paper we introduce an experimental application to demonstrate the usage of context-based awareness cues in status updates, especially in SNS’s (Social Networking Services). The presented application allows users to add different descriptions of context information to their Twitter messages and Facebook status updates in a narrative format. We have also developed an adapted version of the system including conference-specific context-types such as the timetable of the presentations and indoor-location detection using Bluetooth beacons. One goal for the demonstrator is to explore the practical use of context abstractions in a conference setup and synthesize interesting insight based on the usage patterns during the event.

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People use smartphones in daily activities for accessing and storing information in various situations. In this paper, we present a work in progress for detecting and automating some of these activities. To explore the possible patterns we developed an experimental application to detect daily tasks used by smartphones and analyzed it to provide suggestions for “routines”. We conducted a two-week user study with 10 users to evaluate the approach. During the study the application logged the usage patterns, sent information to the server where it was analysed and clustered. The participants could also automate their smartphone tasks using the analysed data. The findings suggest that people would be willing to automatize tasks given that the approach gives flexibility and expressiveness without too much information overload. Future work includes refining the algorithms based on the gathered real-life data and modifying the interaction design to approach the challenges found with the initial study.

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Information from the physical world is increasingly being digitalized and shared in social networks. We share our locations, tag photos and add different kinds of informal awareness cues about the physical world to our online communities. In this paper, we investigate the privacy implications of shared context cues in social networking services. We present an experimental mobile application, which allows users to add different descriptions of context information to their Facebook and Twitter status updates. The application was used by 12 persons during a two-week user trial using their own devices and Facebook accounts. The results indicate that user-defined abstractions of context items were often preferred over more accurate indicators due to privacy concerns or discomfort in sharing. We also found out that using shared context from friends in vicinity needs careful design to overcome the extended privacy implications.

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Presentation of an experimental mobile application, which allows users to add different descriptions of context information to their Facebook status updates. The meaningfulness and the usage of different context descriptions were evaluated in a two-week user trial. The results show that the most frequently used awareness cues in the test setting were location, surroundings, friends and activity. The results also indicate that user-defined semantic abstractions of context items (e.g. “home”, “work”) were often more informative and useful than more accurate indicators (e.g. the address or the name of the place). We also found out that using shared context from friends in vicinity (e.g. identifying the people around) needs careful design to overcome the extended privacy implications.

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PerCom 2012 - Work in Progress - 1 minute madness slide

1. RoutineMaker Towards End-user Automation of Daily Routines using Smartphones Ville Antila, Jussi Polet, Arttu Lämsä, Jussi Liikka VTT Technical Research Centre of Finland, Oulu Image sources: http://adage.com/article/digital/placing-ads-underestimate-mobile/230853/ http://www.resultrix.com/blog/index.php/tag/tablet-marketing http://www.google.com/googleblogs/pdfs/mobile_understanding_smartphone_users.pdf

2. What we did... • Developed an approach to detect the day- to-day ‘routines’ by logging the smartphone application usage and locations • Developed an algorithm to process and analyze the logged usage data into identiﬁable patterns • Implemented a smartphone application with a functionality to create automated ‘tasks’ out of the identiﬁed patterns • Conducted a two-week user study to analyze the approach and to receive user feedback