• Corpus ID: 236170843

Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women

  title={Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women},
  author={Kai-Hui Liang and P. Lange and Yoo Jung Oh and Jingwen Zhang and Yoshimi Fukuoka and Zhou Yu},
  booktitle={SIGDIAL Conferences},
Artificial intelligence chatbots are the vanguard in technology-based intervention to change people’s behavior. To develop intervention chatbots, the first step is to understand natural language conversation strategies in human conversation. This work introduces an intervention conversation dataset collected from a real-world physical activity intervention program for women. We designed comprehensive annotation schemes in four dimensions (domain, strategy, social exchange, and task-focused… 

Figures and Tables from this paper

Social Influence Dialogue Systems: A Scoping Survey of the Efforts Towards Influence Capabilities of Dialogue Systems

This work formally define and introduces the category of social influence dialogue systems that in-situ users’ cognitive and emotional responses are changed, leading to changes in thoughts, opinions, and behaviors through natural conversations.

Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks

This work formally define and introduce the category of social influence dialogue systems that influence users’ cognitive and emotional responses, leading to changes in thoughts, opinions, and behaviors through natural conversations.

Human-in-the-Loop Interaction for continuously Improving Generative Model in Conversational Agent for Behavioral Intervention

Conversational agent (CA) for psychotherapy and behavioral intervention has great potential to provide solutions that can benefit human health. However, most CA for behavior intervention and

Towards Explainable and Safe Conversational Agents for Mental Health: A Survey

Virtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 million Emergency Room

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance

This work defines ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain and introduces a new dataset of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use.

TIMELY: Providing In-Time and Intelligent Support for Cardiovascular Rehabilitation with ’Patients and Practitioners in the Loop’ Interaction

An conversational agent is proposed that utilizes user context and AI-based cardiovascular disease risk prediction, grounded in behavioral intervention theories, in order to collaborate with AI and monitoring technology to optimize outcomes for better CR.

ProKnow : Dataset and Method for Process-guided, Safety-Contrained, and Explainable Mental Health Diagnostic Assistance Anonymous ACL submission

  • Computer Science
  • 2022
This work introduces a new dataset of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use, and develops a method for natural language generation that collects diagnostic information from the patient interactively ( ProKnow algo).

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

There is a need for more interdisciplinary work to continue developing AI techniques to improve a chatbot’s relational and persuasive capacities to change physical activity and diet behaviors with strong ethical principles.

Use of the Healthy Lifestyle Coaching Chatbot App to Promote Stair-Climbing Habits Among Office Workers: Exploratory Randomized Controlled Trial

Evidence is provided that intrinsic rewards are important to enhance the sustainability and effectiveness of an intervention and the Healthy Lifestyle Coaching Chatbot program can be a cost-effective method for healthy habit formation.

Conversational agents in healthcare: a systematic review

The use of conversational agents with unconstrained natural language input capabilities for health-related purposes is an emerging field of research, where the few published studies were mainly quasi-experimental, and rarely evaluated efficacy or safety.

MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations

A dialog act annotation scheme, MIDAS (Machine Interaction Dialog Act Scheme), targeted at open-domain human-machine conversations, designed to assist machines to improve their ability to understand human partners.

Food Diary Coaching Chatbot

The design of a conversational agent whose goal is to coach people who wish to improve their food lifestyle and the data gathering method is easy and especially fast in order to simplify the life of the user.

Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot.

The results highlight the feasibility and benefit of support through artificial intelligence, specifically in a pediatric setting, which could be scaled to serve larger groups of patients.

A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study

An artificially intelligent virtual assistant-led lifestyle-modification intervention was feasible and achieved measurable improvements in physical activity, diet, and body composition at 12 weeks.

Exploring the State-of-Receptivity for mHealth Interventions

The relationship between the effectiveness of the intervention and receptivity towards those interventions and based on analyses, it is speculated that being receptive to interventions helped participants achieve physical activity goals, which in turn motivated participants to be more receptive to future interventions.

Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial

Daily cash incentives increased physical activity in the short term and planning interventions and self-monitoring prompts require revision before they can be included in future versions of the Ally app.

Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial

A pilot randomized controlled trial to test the efficacy of a mobile app-based small-group intervention in increasing physical activity among African American women aged 18 to 35 years in Philadelphia, PA found mobile apps facilitating small online groups can contribute to efforts to increase physical activity.