MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones

By Jon E. Froehlich, Mike Y. Chen, Sunny Consolvo, Beverly L. Harrison, James A. Landay. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2007

594 citations recorded by the source corpus.

This paper presents MyExperience, a system for capturing both objective and subjective in situ data on mobile computing activities. MyExperience combines the following two techniques: 1) passive logging of device usage, user context, and environmental sensor readings, and 2) active context-triggered user experience sampling to collect in situ, subjective user feedback. MyExperience currently runs on mobile phones and supports logging of more than 140 event types, including: 1) device usage such as communication, application usage, and media capture, 2) user context such as calendar appointments, and 3) environmental sensing such as Bluetooth and GPS. In addition, user experience sampling can be targeted to moments of interest by triggering off sensor readings. We present several case studies of field deployments on people's personal phones to demonstrate how MyExperience can be used effectively to understand how people use and experience mobile technology.

Subfields: Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/6241147c4310b8a920f2921be0829e029d560fb1

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Citations in the corpus

The Experience Sampling Method on Mobile Devices (2017, background): “Froehlich et al. (2007) distinguish between prescripts and postscripts.”
Activity sensing in the wild: a field trial of ubifit garden (2008, methodology): “The interactive application is built using the MyExperience framework [8], a scripting environment for mobile phones.”
NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping (2010, methodology): “MyExperience has been designed to record a wide range of data including sensors, images, video, audio and user surveys.”
Diversity in smartphone usage (2010, background): “MyExperience is one such early utility [10], and the works above involve custom utilities as well.”
LiveLab (2011, background): “Existing smartphone loggers, e.g. [12-15], collect very limited context information.”
Micro-Blog: sharing and querying content through mobile phones and social participation (2008, background): “Several other applications closely relate to human activity, such as PeopleNet [18], MAX [19], SenseWeb [20], My-Experience [21], MetroSense [17,22] More recently, the widespread adoption of mobile phones, and the tremendous growth in their computing/communication power, have made them an…”
Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions (2011, unknown): “Similarly, toolkits like MyExperience [92] and Open Data Kit [93] can help make the very capture of self-report data smarter.”
Open data kit: tools to build information services for developing regions (2010, background): “In the academic literature, the best example of data capture and survey software is Froehlich et al.’s MyExperience [18].”
Energy-efficient rate-adaptive GPS-based positioning for smartphones (2010, unknown): “However, GPS duty-cycling trades-offpositioning accuracyfor lower energy.”
Measuring Large-Scale Social Networks with High Resolution (2014, methodology): “A large number of solutions for sensor-driven human data collection have been developed, ranging from dedicated software to complete platforms, notably ContextPhone [20], SocioXensor [21], MyExperience [22], Anonysense [23], CenceMe [24], Cityware [25], Darwin phones [26], Vita [27], and ContextTool”
How to evaluate technologies for health behavior change in HCI research (2011, methodology): “For example, the tools developed by HCI researchers, such as MyExperience [16], can enable health science studies that were previously not possible.”
UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits (2009, methodology): “NET CF along with two open source tools: MyExperience [18] and ActivityDesigner [23].”
Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays (2008, unknown): “It was built using the MyExperience framework [6], a scripting environment for mobile phones.”
Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage (2011, background): “[10] presented a system that collects real usage data on mobile phones by keeping track of more than 140 types of events.”
Into the wild: Studying real user activity patterns to guide power optimizations for mobile architectures (2009, background): “MyExperience [13] gathers traces from user phones in the wild, similar to our work, but uses the traces to study high-level user actions.”