Abstract
dc:description.abstractThe prevalence and affordability of personal and environmental recording apparatuses are leading to increased documentation of our daily lives. This trend is bound to continue and it follows that academic, industry, and government groups are showing an increased interest in such endeavors for various purposes. In the present case, I assert that such documentation can be used to help remedy common memory problems. Assuming a long-term personal archive exists, when confronted with a memory problem, one faces a new challenge, that of finding relevant memory triggers. This dissertation examines the use of information-retrieval technologies on long-term archives of personal experiences towards remedying certain types of long-term forgetting. The approach focuses on capturing audio for the content. Research on Spoken Document Retrieval examines the pitfalls of information-retrieval techniques on error-prone speech- recognizer-generated transcripts and these challenges carry over to the present task. However, "memory retrieval" can benefit from the person's familiarity of the recorded data and the context in which it was recorded to help guide their effort. To study this, I constructed memory-retrieval tools designed to leverage a person's familiarity of their past to optimize their search task. To evaluate the utility of these towards solving long-term memory problems, I (1) recorded public events and evaluated witnesses' memory-retrieval approaches using these tools; and (2) conducted a longer- term memory-retrieval study based on recordings of several years of my personal and research-related conversations. Subjects succeeded with memory-retrieval tasks in both studies, typically finding answers within minutes.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2005
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Vemuri, Sunil, 1969-
- Advisor dc:contributor.advisor
-
- Walter Bender.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Identifier URI
- http://dspace.mit.edu/handle/1721.1/30242
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/30242