Sunil Vemuri

Meme tags and community mirrors: moving from conferences to collaboration

Meme Tags are part of a body of research on GroupWear: a wearable technology that supports people in the formative stages of cooperative work. Conference participants wear Meme Tags that allow them to electronically share memes—succinct ideas or opinions—with each other. Alongside of the person-toperson transactions, a server system collects information about the memetic exchanges and reflects it back to the conference-goers in Community Mirrors—large, public video displays that present real-time visualizations of the unfolding community dynamics. This paper presents results from a proof-of-concept trial of the Meme Tag technology undertaken at a MIT Media Laboratory conference.

An Audio-Based Personal Memory Aid

We are developing a wearable device that attempts to alleviate some everyday memory problems. The ”memory prosthesis” records audio and contextual information from conversations and provides a suite of retrieval tools (on both the wearable and a personal computer) to help users access forgotten memories in a timely fashion. This paper describes the wearable device, the personal-computer-based retrieval tool, and their supporting technologies. Anecdotal observations based on real-world use and quantitative results based on a controlled memory-retrieval task are reported. Finally, some social, legal, and design challenges of ubiquitous recording and remembering via a personal audio archive are discussed.

iRemember: a personal, long-term memory prosthesis

We present a wearable, computational memory aid capable of ubiquitous recording and associated retrieval tools for use during memory failures. We describe a study in which one of the authors recorded everyday conversations with colleagues for two years and subsequently evaluated the effectiveness of the retrieval tools for remedying simulated memory problems. Results suggest early validation of the memory retrieval approach (i.e., searching for memory triggers) towards alleviating certain classes of memory problems.

Improving speech playback using time-compression and speech recognition

Despite the ready availability of digital recording technology and the continually decreasing cost of digital storage, browsing audio recordings remains a tedious task. This paper presents evidence in support of a system designed to assist with information comprehension and retrieval tasks from a large collection of recorded speech. Two techniques are employed to assist users with these tasks. First, a speech recognizer creates necessarily error-laden transcripts of the recorded speech. Second, audio playback is time-compressed using the SOLAFS technique. When used together, subjects are able to perform comprehension tasks with more speed and accuracy.