Conversational AI Therapist for Daily Function Screening in Home Environments

Nie, Jingping; Shao, Hanya; Zhao, Minghui; Xia, Stephen; Preindl, Matthias; Jiang, Xiaofan

doi:10.1145/3539490.3539603

Cited by 4 publications

(6 citation statements)

References 14 publications

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“…There are several psychological measurements designed to examine the day-to-day functioning of individuals to evaluate their mental health well-being, such as DLA-20 and GAF [32,62,77]. DLA, which was developed to evaluate aspects of daily functioning affected by mental illnesses, includes 20 major categories for daily functioning.…”

Section: Psychological Assessmentmentioning

confidence: 99%

“…In addition to assessing and classifying the mental status of the user, researchers have investigated providing psychological consultations. For example, [62] leveraged GPT-3 to construct a home-based AI therapist that detects abnormalities in mental status and daily functioning and generates responses to console users. [48] proposed an AI-based assistive tool leveraging the WenZhong model, a pre-trained model trained on a Chinese corpus for question-answering in psychological consultation settings [48].…”

Section: Llm-based Healthcare and Mental Healthcarementioning

confidence: 99%

“…Considering the design requirements presented in Section 1, CaiTI includes two main functionalities: day-to-day functioning screening and precautionary psychotherapeutic conversational interventions as shown in Figure 2. We adopt the 37 dimensions for day-to-day functioning screening proposed in [62]. For screening, Converse with the User in a Natural Way consists of open-ended question generations and semantic analysis of user responses based on LLM.…”

Section: System Architecturementioning

confidence: 99%

“…Psychotherapy refers to a range of interventions based on psychological theories and principles to address emotional and behavioral issues that impact mental health [28]. [62] and [101] propose conversational systems that provide preliminary consolation. While conversational systems and evidence-based treatments like Motivational Interviewing (MI) [60], Cognitive Behavioral Therapy (CBT) [15], and Dialectical Behavior Therapy (DBT) [72] have been proposed, many lack personalization or user understanding [74,76].…”

Section: Introductionmentioning

confidence: 99%

“…CaiTI screens the user along the 37 dimensions of day-to-day functioning proposed in [62] by conversing naturally with users with open-ended questions. CaiTI understands verbal and textual responses and activities of the user and employs conversation-based psychotherapeutic interventions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

AI Therapist for Daily Functioning Assessment and Intervention Using Smart Home Devices

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et al. 2022

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

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Fig. 1. CaiTI is a conversational "AI therapist" that screens and assesses the day-to-day functioning of the occupant across 37 dimensions and provides appropriate psychotherapeutic interventions and empathic validations depending on the physical and mental status of the occupant. Despite the global mental health crisis, access to screenings, professionals, and treatments remains high. In collaboration with licensed psychotherapists, we propose a Conversational AI Therapist with psychotherapeutic Interventions (CaiTI), a platform that leverages large language models (LLM)s and smart devices to enable better mental health self-care. CaiTI can screen the day-to-day functioning using natural and psychotherapeutic conversations. CaiTI leverages reinforcement learning to provide personalized conversation flow. CaiTI can accurately understand and interpret user responses. When the user needs further attention during the conversation, CaiTI can provide conversational psychotherapeutic interventions, including cognitive behavioral therapy (CBT) and motivational interviewing (MI). Leveraging the datasets prepared by the licensed psychotherapists, we experiment and microbenchmark various LLMs' performance in tasks along CaiTI's conversation flow and discuss their strengths and weaknesses. With the psychotherapists, we implement CaiTI and conduct 14-day and 24-week studies. The study results, validated by therapists, demonstrate that CaiTI can converse with users naturally, accurately understand and interpret user responses, and provide psychotherapeutic interventions

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Section: Psychological Assessmentmentioning

confidence: 99%

Section: Llm-based Healthcare and Mental Healthcarementioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%