Using a natural language interface with casual users |
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| Affiliation: | 1. Research Institute of Public Health of the Université de Montréal (IRSPUM), Canada;2. Department of Public Health Sciences, Queen’s University, Kingston, Ontario, Canada;3. School of Physiotherapy, Universidade Federale do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil;4. School of Medicine, Universidad de Caldas, Manizales, Caldas, Colombia;5. Albanian National Institute of Health, Tirana, Albania;6. Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States;1. Department of Radiation Medicine, MedStar Georgetown University Hospital, Washington, USA;2. Radboud University Medical Center, Nijmegen, The Netherlands;3. Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University, Baltimore, USA;4. Department of Radiotherapy, Istituto Nazionale Tumori Regina Elena, Roma, Italy;5. Philips Radiation Oncology Systems, Madison, USA;1. Department of Anthropology, University of Illinois, Urbana, IL 61802, USA;2. Department of Anthropology, The University of Tennessee, Knoxville, TN 37996, USA;1. Lund University Centre for Sustainability Studies (LUCSUS), Sweden;2. Centre of Natural Disaster Science (CNDS), Uppsala University, Sweden;3. Global Urbanism Research Group, Global Development Institute (GDI) – Manchester University, UK |
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| Abstract: | Although there is much controversy about the merits of natural language interfaces, little empirical research has been conducted on the use of natural language interfaces for database access, especially for casual users. In this work casual users were observed while interacting with a real-life database using a natural language interface, Intellect.Results show that natural language is an efficient and powerful means for expressing requests. This is especially true for users with a good knowledge of the database contents regardless of training or previous experience with computers. Users generally have a positive attitude towards natural language. The majority of errors users make are directly related to restrictions in the vocabulary. However, feedback helps users understand the language limitations and learn how to avoid or recover from errors. Natural language processing technology is developed enough to handle the limited domain of discourse associated with a database; it is simple enough to support casual users with a general knowledge of the database contents; and it is flexible enough to assist problem-solving behaviour. |
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