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      Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences

      , , , , ,

      BCS Health Informatics Scotland (HIS) (HIS)

      BCS Health Informatics Scotland (HIS)

      2 - 3 September 2014

      User Preferences, Data-to-text, Decision Support Systems, Health data, Wearable tech

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          Abstract

          Understanding and interpreting medical sensor data is an essential part of pre-hospital care in medical emergencies, but requires training and previous knowledge. In this paper, we describe on-going work towards a medical decision support tool, which automatically generates textual summaries of underlying sensor data. In particular, we present results from a survey investigating the preferences of individual users and user groups when summarizing medical sensor data. We find that the users’ preferences are not necessarily dependent on the user’s training level, profession or gender. We therefore use cluster analysis to identify user groups with consistent preferences with regard to 4 different first aid scenarios and 3 types of physiological parameters. In future work, we will utilize these findings to automatically adapt the generated output to personal preferences.

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          Most cited references 6

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          Why looking isn't always seeing: readership skills and graphical programming

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            An architecture for data-to-text systems

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              When a graph is poorer than 100 words: A comparison of computerised natural language generation, human generated descriptions and graphical displays in neonatal intensive care

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                Author and article information

                Contributors
                Conference
                September 2014
                September 2014
                : 1-8
                Affiliations
                Heriot-Watt University

                Edinburgh

                EH14 4AS
                BASP UK Ltd.

                Grencoe

                PH49 4HR
                University of Glasgow

                Glasgow

                G12 8QQ
                University of Aberdeen

                Inverness

                IV2 3JH
                10.14236/ewic/HIS2014.2
                © Dimitra Gkatzia et al. Published by BCS Learning and Development Ltd. BCS Health Informatics Scotland (HIS), Glasgow, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                BCS Health Informatics Scotland (HIS)
                HIS
                Glasgow, UK
                2 - 3 September 2014
                Electronic Workshops in Computing (eWiC)
                BCS Health Informatics Scotland (HIS)
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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