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    <abstract>An assistive robot that could communicate with dementia patients would have great social benefit. An assistive robot Pepper has been designed to administer Referential Communication Tasks (RCTs) to human subjects without dementia as a step towards an agent to administer RCTs to dementia patients, potentially for earlier diagnosis. Currently, Pepper follows a rigid RCT script, which affects the user experience. We aim to replace Pepper’s RCT script with a dialogue management approach, to generate more natural interactions with RCT subjects. A Partially Observable Markov Decision Process (POMDP) dialogue policy will be trained using reinforcement learning, using simulated dialogue partners. This paper describes two RCT datasets and a methodology for their use in creating a database that the simulators can access for training the POMDP policies.</abstract>
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%0 Conference Proceedings
%T A Database of Multimodal Data to Construct a Simulated Dialogue Partner with Varying Degrees of Cognitive Health
%A Pan, Ruihao
%A Liu, Ziming
%A Yuan, Fengpei
%A Zare, Maryam
%A Zhao, Xiaopeng
%A Passonneau, Rebecca Jane
%Y Kokkinakis, Dimitrios
%Y Themistocleous, Charalambos K.
%Y Fors, Kristina Lundholm
%Y Tsanas, Athanasios
%Y Fraser, Kathleen C.
%S Proceedings of the RaPID Workshop - Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments - within the 13th Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F pan-etal-2022-database
%X An assistive robot that could communicate with dementia patients would have great social benefit. An assistive robot Pepper has been designed to administer Referential Communication Tasks (RCTs) to human subjects without dementia as a step towards an agent to administer RCTs to dementia patients, potentially for earlier diagnosis. Currently, Pepper follows a rigid RCT script, which affects the user experience. We aim to replace Pepper’s RCT script with a dialogue management approach, to generate more natural interactions with RCT subjects. A Partially Observable Markov Decision Process (POMDP) dialogue policy will be trained using reinforcement learning, using simulated dialogue partners. This paper describes two RCT datasets and a methodology for their use in creating a database that the simulators can access for training the POMDP policies.
%U https://aclanthology.org/2022.rapid-1.11
%P 86-93

Markdown (Informal)

[A Database of Multimodal Data to Construct a Simulated Dialogue Partner with Varying Degrees of Cognitive Health](https://aclanthology.org/2022.rapid-1.11) (Pan et al., RaPID 2022)

• A Database of Multimodal Data to Construct a Simulated Dialogue Partner with Varying Degrees of Cognitive Health (Pan et al., RaPID 2022)

ACL

• Ruihao Pan, Ziming Liu, Fengpei Yuan, Maryam Zare, Xiaopeng Zhao, and Rebecca Jane Passonneau. 2022. A Database of Multimodal Data to Construct a Simulated Dialogue Partner with Varying Degrees of Cognitive Health. In Proceedings of the RaPID Workshop - Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments - within the 13th Language Resources and Evaluation Conference, pages 86–93, Marseille, France. European Language Resources Association.