An Audio-Based Personal Memory Aid

Vemuri, Sunil; Schmandt, Chris; Bender, W.; Tellex, Stefanie; Lassey, Brad

doi:10.1007/978-3-540-30119-6_24

Cited by 35 publications

(22 citation statements)

References 17 publications

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“…In this case, there was only weak evidence that both video and still images can serve as effective reminders of these past events after one day and one month. Research by Vemuri et al [30] also provides some evidence for the use of audiotaped conversations (in this case, conference talks) in jogging memory, although in this case the memory problems were simulated rather than real. Finally, Carter and Mankoff [6] explored the efficacy of different kinds of media as cues in eliciting recall of everyday events within the context of diary studies.…”

Section: Related Researchmentioning

confidence: 89%

“…More recent instantiations of this approach can be classified either as wearables, portables or instrumented environments. Wearable systems are based mainly on head-mounted still or video cameras [e.g., 17, 24,], or on wearable audio capture devices [30]. Portable systems largely make use of specialized software on existing devices such as PDAs, notebook computers or cell phones [e.g., 21,22].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Do life-logging technologies support memory for the past?

Sellen

Fogg

Aitken

et al. 2007

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

274

209

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We report on the results of a study using SenseCam, a -lifelogging‖ technology in the form of a wearable camera, which aims to capture data about everyday life in order to support people's memory for past, personal events. We find evidence that SenseCam images do facilitate people's ability to connect to their past, but that images do this in different ways. We make a distinction between -remembering‖ the past, and -knowing‖ about it, and provide evidence that SenseCam images work differently over time in these capacities. We also compare the efficacy of user-captured images with automatically captured images and discuss the implications of these findings and others for how we conceive of and make claims about life-logging technologies.

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Section: Related Researchmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Do life-logging technologies support memory for the past?

Sellen

Fogg

Aitken

et al. 2007

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

274

209

View full text Add to dashboard Cite

show abstract

“…Kidd and Parshall (2000, 298) contend that "audiotape is often easier for a transcriptionist to work with than videotape". Importantly though, audio-taping helps researchers "remedy common, everyday memory problem" (Vemuri., Schmandt., Bender., Tellex., and Lassey 2004).…”

Section: Data Managementmentioning

confidence: 99%

Obstacles to the Development of Critical Thinking Dispositions Among Student Teachers at Morgenster Teachers’ College, Zimbabwe

Zireva

Letseka

2013

MJSS

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“…[3] described Eye-Tap which facilitate the continuous archival and retrieval of personal experiences, by way of lifelong video capture. [6] presented a method for audio-based memory retrieval. They developed a pc based memory retrieval tool allowing browsing, searching, and listening to audio and associated speech-recognizer-generated transcripts.…”

Section: Related Workmentioning

confidence: 99%

Persone

Kim¹,

Ahn²,

Ko³

et al. 2006

Proceedings of the 3rd ACM Workshop on Continuous Archival and Retrival of Personal Experences

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We present a new system for creation and efficient retrieval of personal life log media(P-LLM) on networked environment in this paper. Personal life log media data include audiovisual data for user's experiences and additional data from intelligent gadgets which include multimodal sensors, such as GPS, 3D-accelerometers, physiological reaction sensors and environmental sensors. We made our system as a web-based system which provides spatiotemporal graphical user interface and tree-based activity search environment, so that users can access easily and also query intuitively. Our learning based activity classification technique makes it easier to classify the user's activity from multimodal sensor data. Finally we can provide user-centered service with individual activity registration and classification for each user with our proposed system.

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An Audio-Based Personal Memory Aid

Cited by 35 publications

References 17 publications

Do life-logging technologies support memory for the past?

Do life-logging technologies support memory for the past?

Obstacles to the Development of Critical Thinking Dispositions Among Student Teachers at Morgenster Teachers’ College, Zimbabwe

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