Mental Models for Adaptive Search Systemssss: A Theory      for Information
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Su-Shing Chen', 'PO_EMAI': None, 'PO_PHON': None}
Adaptive information systems promise to augment human information               seeking by cooperating with users to manage the cognitive burden                of the search.  Highly interactive (hypertext) systems for brows-               ing databases can promote natural, low-cognitive load search                    strategies.  Still lacking, however, is a scientific basis for                  designing user-oriented organizations of data or user-oriented                  views of database content.  This research seeks to test aspects                 of a theory of information seeking which can explain users'                     interactions with machines to find information.  In particular,                 through experimental analysis of such interactions it examines                  users' development and application of mental models of hypertext                systems employed for that purpose.                                                                                                                              The research will contribute to an emerging theory of information               seeking in electronic environments, guide designers of adaptive                 information systems, and facilitate the development of methods                  and materials for human information seeking.
{'FirstName': 'Gary', 'LastName': 'Marchionini', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gary J Marchionini', 'EmailAddress': 'march@ils.unc.edu', 'NSF_ID': '000323065', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '6845', 'Text': 'HUMAN COMPUTER INTER PROGRAM'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8718075.xml'}