Improving Educational Dialog System for Historical World Affairs

Eunkyoung Jo; Jungyun Seo

doi:10.17154/kjal.2021.7.37.special.161

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence

AI Magazine ◽

10.1609/aimag.v40i3.4981 ◽

2019 ◽

Vol 40 (3) ◽

pp. 67-78

Author(s):

Guy Barash ◽

Mauricio Castillo-Effen ◽

Niyati Chhaya ◽

Peter Clark ◽

Huáscar Espinoza ◽

...

Keyword(s):

Artificial Intelligence ◽

Language Processing ◽

Cyber Security ◽

Question Answering ◽

Intent Recognition ◽

Affective Content ◽

Learning Plan ◽

Dialog System ◽

Affective Content Analysis ◽

Games And Simulations

The workshop program of the Association for the Advancement of Artificial Intelligence’s 33rd Conference on Artificial Intelligence (AAAI-19) was held in Honolulu, Hawaii, on Sunday and Monday, January 27–28, 2019. There were fifteen workshops in the program: Affective Content Analysis: Modeling Affect-in-Action, Agile Robotics for Industrial Automation Competition, Artificial Intelligence for Cyber Security, Artificial Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction from Games, Network Interpretability for Deep Learning, Plan, Activity, and Intent Recognition, Reasoning and Learning for Human-Machine Dialogues, Reasoning for Complex Question Answering, Recommender Systems Meet Natural Language Processing, Reinforcement Learning in Games, and Reproducible AI. This report contains brief summaries of the all the workshops that were held.

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End-to-End Task-Oriented Dialog System Through Template Slot Value Generation

10.21437/interspeech.2020-2011 ◽

2020 ◽

Author(s):

Teakgyu Hong ◽

Oh-Woog Kwon ◽

Young-Kil Kim

Keyword(s):

Dialog System ◽

End To End ◽

Task Oriented

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Open-domain personalized dialog system using user-interested topics in system responses

2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) ◽

10.1109/asru.2015.7404866 ◽

2015 ◽

Cited By ~ 2

Author(s):

Jeesoo Bang ◽

Sangdo Han ◽

Kyusong Lee ◽

Gary Geunbae Lee

Keyword(s):

Open Domain ◽

Dialog System

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CSLDS: Chinese sign language dialog system

2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443) ◽

10.1109/amfg.2003.1240850 ◽

2004 ◽

Cited By ~ 5

Author(s):

Yiqiang Chena ◽

Wen Gao ◽

Gaolin Fang ◽

Changshui Yang ◽

Zhaoqi Wang

Keyword(s):

Sign Language ◽

Dialog System

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The Historical World of Henry Adams

The History Teacher ◽

10.2307/491577 ◽

1976 ◽

Vol 10 (1) ◽

pp. 67

Author(s):

Kent Blaser

Keyword(s):

Henry Adams ◽

Historical World

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Digital Medical Interview Assistant AnCha for Obtaining the Medical History in General Medicine: Case study (Preprint)

10.2196/preprints.34489 ◽

2021 ◽

Author(s):

Selina Florence Regli ◽

Floriana Gashi ◽

Kerstin Denecke

Keyword(s):

Medical History ◽

User Interfaces ◽

Pilot Trial ◽

Age Groups ◽

General Medicine ◽

Time Frame ◽

Practical Implementation ◽

Medical Interview ◽

Digital Tool ◽

Dialog System

BACKGROUND Collecting information on the medical history of a patient is an important step during the diagnosing process. Besides the interrogation by the physician, computerized questionnaires are used to collect the data. To facilitate interaction, implementation of digital medical interview assistants (DMIA) using conversational user interfaces (CUI) gain in interest. OBJECTIVE The aim of this research is to assess patient’s and physician’s perceptions towards a DMIA with CUI. Beyond, we want to understand how such DMIA can be used in real-world context, what issues and barriers exist in their usage. METHODS We developed a web-based DMIA with CUI (referred to as AnCha for anamnesis chatbot) as a research prototype in a participative and iterative development process. We conducted a pilot trial in a practice for general medicine. Patient perceptions were collected and physicians were interrogated regarding usefulness of collected information. RESULTS 31 patients were approached, and 9 participants were included in the pilot trial; 3 conversation protocols were used by the physicians to prepare for the encounter. Participants spanned all age groups from digital natives (n=5), and digital workers (n=3) to digital seniors (n=1). Patients can easily interact with AnCha and are willing to provide information to the digital tool. They recognize benefits while using the dialog system compared to the existing process. Important insights into practical implementation and integration into practice workflows could be gained. CONCLUSIONS Providing information on complaints and medical history before the actual encounter is considered useful. In order to be supportive for physicians, information has to be made available in a sufficient time frame before the encounter. Future work has to assess in particular whether AnCha is also well accessible for digital seniors.

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