'Hear me out'

Autor: Jakob E. Bardram, Per Bækgaard, Raju Maharjan
Rok vydání: 2019
Předmět:
Zdroj: UbiComp/ISWC Adjunct
Maharjan, R, Bækgaard, P & Bardram, J E 2019, “Hear me out”: Smart speaker based conversational agent to monitor symptoms in mental health . in UbiComp/ISWC 2019 : Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers . Association for Computing Machinery, pp. 929-933, 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, London, United Kingdom, 09/09/2019 . https://doi.org/10.1145/3341162.3346270
DOI: 10.1145/3341162.3346270
Popis: Difference in features of voice such as tone, volume, intonation, and rate of speech have been suggested as sensitive and valid measures of mental illness. Researchers have used analysis of voice recordings during phone calls, response to the IVR systems and smartphone based conversational agents as a marker in continuous monitoring of symptoms and effect of treatment in patients with mental illness. While these methods of recording the patient’s voice have been considered efficient, they come with a number of issues in terms of adoption, privacy, security, data storage etc. To address these issues we propose a smart speaker based conversational agent – “Hear me out”. In this paper, we describe the proposed system, rationale behind using smart speakers, and the challenges we are facing in the design of the system.
Databáze: OpenAIRE