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1
A Literature Survey of Recent Advances in Chatbots
In: Information; Volume 13; Issue 1; Pages: 41 (2022)
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2
Design principles and architecture of a second language learning chatbot
Kim, Heyoung; Yang, Hyejin; Shin, Dongkwang. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study.
In: Journal of medical Internet research, vol 23, iss 3 (2021)
Abstract: BackgroundMisuse of substances is common, can be serious and costly to society, and often goes untreated due to barriers to accessing care. Woebot is a mental health digital solution informed by cognitive behavioral therapy and built upon an artificial intelligence-driven platform to deliver tailored content to users. In a previous 2-week randomized controlled trial, Woebot alleviated depressive symptoms.ObjectiveThis study aims to adapt Woebot for the treatment of substance use disorders (W-SUDs) and examine its feasibility, acceptability, and preliminary efficacy.MethodsAmerican adults (aged 18-65 years) who screened positive for substance misuse without major health contraindications were recruited from online sources and flyers and enrolled between March 27 and May 6, 2020. In a single-group pre/postdesign, all participants received W-SUDs for 8 weeks. W-SUDs provided mood, craving, and pain tracking and modules (psychoeducational lessons and psychotherapeutic tools) using elements of dialectical behavior therapy and motivational interviewing. Paired samples t tests and McNemar nonparametric tests were used to examine within-subject changes from pre- to posttreatment on measures of substance use, confidence, cravings, mood, and pain.ResultsThe sample (N=101) had a mean age of 36.8 years (SD 10.0), and 75.2% (76/101) of the participants were female, 78.2% (79/101) were non-Hispanic White, and 72.3% (73/101) were employed. Participants' W-SUDs use averaged 15.7 (SD 14.2) days, 12.1 (SD 8.3) modules, and 600.7 (SD 556.5) sent messages. About 94% (562/598) of all completed psychoeducational lessons were rated positively. From treatment start to end, in-app craving ratings were reduced by half (87/101, 86.1% reporting cravings in the app; odds ratio 0.48, 95% CI 0.32-0.73). Posttreatment assessment completion was 50.5% (51/101), with better retention among those who initially screened higher on substance misuse. From pre- to posttreatment, confidence to resist urges to use substances significantly increased (mean score change +16.9, SD 21.4; P<.001), whereas past month substance use occasions (mean change -9.3, SD 14.1; P<.001) and scores on the Alcohol Use Disorders Identification Test-Concise (mean change -1.3, SD 2.6; P<.001), 10-item Drug Abuse Screening Test (mean change -1.2, SD 2.0; P<.001), Patient Health Questionnaire-8 item (mean change 2.1, SD 5.2; P=.005), Generalized Anxiety Disorder-7 (mean change -2.3, SD 4.7; P=.001), and cravings scale (68.6% vs 47.1% moderate to extreme; P=.01) significantly decreased. Most participants would recommend W-SUDs to a friend (39/51, 76%) and reported receiving the service they desired (41/51, 80%). Fewer felt W-SUDs met most or all of their needs (22/51, 43%).ConclusionsW-SUDs was feasible to deliver, engaging, and acceptable and was associated with significant improvements in substance use, confidence, cravings, depression, and anxiety. Study attrition was high. Future research will evaluate W-SUDs in a randomized controlled trial with a more diverse sample and with the use of greater study retention strategies.Trial registrationClinicalTrials.gov NCT04096001; http://clinicaltrials.gov/ct2/show/NCT04096001.
Keyword: acceptability; addiction; Adult; Alcoholism; Artificial Intelligence; Behavioral and Social Science; Brain Disorders; chatbot; Clinical Research; Clinical Trials and Supportive Activities; Cognitive Behavioral Therapy; conversational agent; craving; Depression; Drug Abuse (NIDA Only); feasibility; Female; Humans; Information and Computing Sciences; Medical and Health Sciences; Medical Informatics; Mental Health; mobile phone; Neurosciences; psychoeducation; Psychology and Cognitive Sciences; psychotherapeutic; Substance Abuse; substance misuse; Substance-Related Disorders; treatment
URL: https://escholarship.org/uc/item/38v7w5g9
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Multitask Transformer Model-based Fintech Customer Service Chatbot NLU System with DECO-LGG SSP-based Data ; DECO-LGG 반자동 증강 학습데이터 활용 멀티태스크 트랜스포머 모델 기반 핀테크 CS 챗봇 NLU 시스템
In: Annual Conference on Human and Language Technology ; https://hal.archives-ouvertes.fr/hal-03603903 ; Annual Conference on Human and Language Technology, Oct 2021, Séoul, South Korea. pp.461-466 ; http://www.koreascience.or.kr/journal/OOGHAK.page (2021)
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A Methodology of Building Evaluation-Annotated Datasets (EVAD) Based on the Evaluation-Triple in E-Commerce Reviews ; 이커머스 후기글 평가분석 트리플에 기반한 평가주석 데이터셋 EVAD 구축 방법론
In: ISSN: 1229-0343 ; The Journal of Linguistics Science ; https://hal.archives-ouvertes.fr/hal-03565731 ; The Journal of Linguistics Science, 2021, 99, pp.245-272. &#x27E8;10.21296/jls.2021.12.99.245&#x27E9; (2021)
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6
Text-Based Emotion Recognition in English and Polish for Therapeutic Chatbot
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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7
Design And Evaluation of A Conversational Agent for Mental Health Support: Forming Human-Agent Sociotechnical And Therapeutic Relationships
Liao, Yuting. - 2021
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8
Förderung der Sprechfertigkeit in DaF: eine qualitative Analyse zur Nutzung von ChatClass
In: Pandaemonium Germanicum: Revista de Estudos Germanísticos, Vol 24, Iss 42 (2021) (2021)
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9
The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications
Richards, Ruze; Jackovich, Jeffrey; Sankar, Krishna. - Birmingham, UK : Packt, 2020
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UB Frankfurt Linguistik
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10
Hands-on natural language processing with PyTorch 1.x : build smart, AI-driven linguistic applications using deep learning and NLP techniques
Dop, Thomas. - Mumbai : Packt, 2020
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UB Frankfurt Linguistik
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11
State Machine based Human-Bot Conversation Model and Services
In: CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering ; https://hal.archives-ouvertes.fr/hal-03122974 ; CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering, Jun 2020, Grenoble, France. pp.199-214, &#x27E8;10.1007/978-3-030-49435-3_13&#x27E9; (2020)
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12
Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ...
Deriu, Jan Milan; Tuggener, Don; Von Däniken, Pius. - : Association for Computational Linguistics, 2020
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13
A Domain-Specific Generative Chatbot Trained from Little Data
In: Applied Sciences ; Volume 10 ; Issue 7 (2020)
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14
Making Chatbots More Transparent and Applicable to New Demographics
Jain, Mohit. - 2020
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15
ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ КАК АЛЬТЕРНАТИВНЫЙ РЕСУРС ДЛЯ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА ... : Digital intelligence as an alternative resource for foreign language learning ...
Esionova , Elena. - : Southern Federal University, 2019
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16
Chatbots for Multilingual Conversations ...
Vanjani, Mahesh; Milam Aiken; Park, Mina. - : Zenodo, 2019
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Chatbots for Multilingual Conversations ...
Vanjani, Mahesh; Milam Aiken; Park, Mina. - : Zenodo, 2019
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18
PALbot: a Plug&(Almost)pLay chatbot
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The Effect of Data Quantity on Dialog System Input Classification Models ; Datamängdens effekt på modeller för avsiktsklassificering i chattkonversationer
Lipecki, Johan; Lundén, Viggo. - : KTH, Hälsoinformatik och logistik, 2018
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20
Modelação e prototipagem de ChatBots ; Modeling and prototyping ChatBots
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