Effectiveness of User States, Demographics and Traits in Persuading to Quit Smoking

N. Albers; M.A. Neerincx; W.P. Brinkman

Effectiveness of User States, Demographics and Traits in Persuading to Quit Smoking

N. Albers, M.A. Neerincx, W.P. Brinkman

Interactive Intelligence

Research output: Contribution to conference › Abstract › Scientific

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Abstract

This document is an encore abstract of the paper “Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior” presented at AAMAS 2023.

Original language	English
Number of pages	3
Publication status	Published - 2023
Event	BNAIC/BeNeLearn 2023: Joint International Scientific Conferences on AI and Machine Learning - Delft, Netherlands Duration: 8 Nov 2023 → 10 Nov 2023

Conference

Conference	BNAIC/BeNeLearn 2023: Joint International Scientific Conferences on AI and Machine Learning
Country/Territory	Netherlands
City	Delft
Period	8/11/23 → 10/11/23

Keywords

eHealth
Conversational agent
Reinforcement learning

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BNAICBENELEARN_2023_paper_25.cd8234d8469a2929551f

https://bnaic2023.tudelft.nl/static/media/BNAICBENELEARN_2023_paper_25.cd8234d8469a2929551f.pdf

1 Conference contribution

Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior
Albers, N., Neerincx, M. A. & Brinkman, W-P., 2023, AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. Richland: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 717-726 10 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Cite this

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title = "Effectiveness of User States, Demographics and Traits in Persuading to Quit Smoking",

abstract = "This document is an encore abstract of the paper “Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior” presented at AAMAS 2023.",

keywords = "eHealth, Conversational agent, Reinforcement learning",

author = "N. Albers and M.A. Neerincx and W.P. Brinkman",

year = "2023",

language = "English",

note = "BNAIC/BeNeLearn 2023: Joint International Scientific Conferences on AI and Machine Learning ; Conference date: 08-11-2023 Through 10-11-2023",

}

TY - CONF

T1 - Effectiveness of User States, Demographics and Traits in Persuading to Quit Smoking

AU - Albers, N.

AU - Neerincx, M.A.

AU - Brinkman, W.P.

PY - 2023

Y1 - 2023

N2 - This document is an encore abstract of the paper “Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior” presented at AAMAS 2023.

AB - This document is an encore abstract of the paper “Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior” presented at AAMAS 2023.

KW - eHealth

KW - Conversational agent

KW - Reinforcement learning

M3 - Abstract

T2 - BNAIC/BeNeLearn 2023: Joint International Scientific Conferences on AI and Machine Learning

Y2 - 8 November 2023 through 10 November 2023

ER -

Effectiveness of User States, Demographics and Traits in Persuading to Quit Smoking

Abstract

Conference

Keywords

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Research output

Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior

Cite this