A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation

Oh, Kyo-Joong; Lee, Dongkun; Ko, Byungsoo; Choi, Ho-Jin

doi:10.1109/mdm.2017.64

Cited by 202 publications

(94 citation statements)

References 6 publications

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“…As research shows that students in higher education are increasingly experiencing psychological problems, such as depression, anxiety, and burn-out (Gilchrist, 2003;Snyder et al, 2016), an add-on to the goal-setting program as described above is recommended. Rapid developments in the field of artificial intelligence (AI), especially areas such as emotion recognition, natural language processing, and machine learning have great potential to aid students experiencing study-related mental health problems (Kavakli et al, 2012;Oh et al, 2017). For example, a goal-setting exercise could be enhanced by incorporating a digital coach in the form of a goal-setting chatbot.…”

Section: Future Research and Developmentsmentioning

confidence: 99%

Life Crafting as a Way to Find Purpose and Meaning in Life

2019

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Having a purpose in life is one of the most fundamental human needs. However, for most people, finding their purpose in life is not obvious. Modern life has a way of distracting people from their true goals and many people find it hard to define their purpose in life. Especially at younger ages, people are searching for meaning in life, but this has been found to be unrelated to actually finding meaning. Oftentimes, people experience pressure to have a "perfect" life and show the world how well they are doing, instead of following up on their deep-felt values and passions. Consequently, people may need a more structured way of finding meaning, e.g., via an intervention. In this paper, we discuss evidence-based ways of finding purpose, via a process that we call "life crafting." This process fits within positive psychology and the salutogenesis framework -an approach focusing on factors that support human health and well-being, instead of factors that cause disease. This process ideally starts with an intervention that entails a combination of reflecting on one's values, passions and goals, best possible self, goal attainment plans, and other positive psychology intervention techniques. Important elements of such an intervention are: (1) discovering values and passion, (2) reflecting on current and desired competencies and habits, (3) reflecting on present and future social life, (4) reflecting on a possible future career, (5) writing about the ideal future, (6) writing down specific goal attainment and "if-then" plans, and (7) making public commitments to the goals set. Prior research has shown that personal goal setting and goal attainment plans help people gain a direction or a sense of purpose in life. Research findings from the field of positive psychology, such as salutogenesis, implementation intentions, value congruence, broadenand-build, and goal-setting literature, can help in building a comprehensive evidence-based life-crafting intervention. This intervention can aid individuals to find a purpose in life, while at the same time ensuring that they make concrete plans to work toward this purpose. The idea is that life crafting enables individuals to take control of their life in order to optimize performance and happiness.

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Section: Future Research and Developmentsmentioning

confidence: 99%

Life Crafting as a Way to Find Purpose and Meaning in Life

2019

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“…The system monitors humans, analyzes human biometric data, suggests ways to fight diseases by anticipating changes in diseases, thereby protecting an individual against an expected disease, and providing the current health status to humans. Information regarding the improved state and the advisable function must be exchanged to recognize a problem and address it [12]. Chatbots can solve many issues of existing app users because they determine and organize user needs and provide necessary information to customized services.…”

Section: Evolutional Model Of the Cps 21 Requirements Of The Cha Plamentioning

confidence: 99%

“…In particular, middle-aged people and the elderly have difficulties in using the latest technologies (e.g.,chatbots) ; therefore, chatbots can actively engage users and begin conversations. Active chatbots that specialize in smart healthcare must always monitor the health status of users and recognize certain situations based on collected information to induce conversation [12]. The answers from the user's query must be assembled and generated by natural language analysis and generate visualized responses in the same format as the chart, which is a form of visualization.…”

Section: Reference Model Of the Cha Platformmentioning

confidence: 99%

Reference Model and Architecture of Interactive Cognitive Health Advisor based on Evolutional Cyber-physical Systems

2019

KSII TIIS

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This study presents a reference model (RM) and the architecture of a cognitive health advisor (CHA) that integrates information with ambient intelligence. By controlling the information using the CHA platform, the reference model can provide various ambient intelligent solutions to a user. Herein, a novel approach to a CHA RM based on evolutional cyber-physical systems is proposed. The objective of the CHA RM is to improve personal health by managing data integration from many devices as well as conduct a new feedback cycle, which includes training and consulting to improve quality of life. The RM can provide an overview of the basis for implementing concrete software architectures. The proposed RM provides a standardized clarification for developers and service designers in the design and implementation process. The CHA RM provides a new approach to developing a digital healthcare model that includes integrated systems, subsystems, and components. New features for chatbots and feedback functions set the position of the conversational interface system to improve human health by integrating information, analytics, and decisions and feedback as an advisor on the CHA platform.

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“…Dialogue systems 3 are end-to-end technological systems designed to interact with users via text and they have seen successful application across various areas in the medical community over the last number of years [11,12,13]. These systems offer a range of advantages to the medical community, besides the ability to work in parallel with hundreds or thousands of patients at a single time, they have a low development and implement cost [14].…”

Section: Dialogue Systemsmentioning

confidence: 99%

“…Therefore, there is a requirement to identify ways in which social desirability can be removed from the diagnosis setting. Recently, dialogue systems have been successfully applied in this domain [11,13,30]. This body of work demonstrates that individuals feel more comfortable discussing taboo issues when they are not required to do so in the physical presence of another individual.…”

Section: Patient Health Questionnairementioning

confidence: 99%

Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System

Delahunty¹

2019

Preprint

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Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. Current screening methods require individuals to manually complete psychometric questionnaires. In this work we develop a deep learning approach to predict psychometric scores given textual data through the use of psycholinguistics features. Data is collected via a dialogue system, were we develop and incorporate an approach to model empathy. Which aims to allow for appropriate use of these systems in a clinical setting. Following a public evaluation, we demonstrate that our approach to model empathy can out perform a similarly trained non empathic approach. Additionally, we show that our deep learning prediction approach performed well on evaluation data, but has difficulty generalizing to experimentally collected data. Limitations and implications as a result of this work are discussed.

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A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation

Cited by 202 publications

References 6 publications

Life Crafting as a Way to Find Purpose and Meaning in Life

Life Crafting as a Way to Find Purpose and Meaning in Life

Reference Model and Architecture of Interactive Cognitive Health Advisor based on Evolutional Cyber-physical Systems

Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System

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