Reading Rooms: A Chatbot Guided Bibliotherapy Service

Patrick McAllister; James Kerr; Michael McTear; Maurice Mulvenna; RR Bond; Aoife Lyons; B O'Grady; T Harkin; Karen Kirby

Reading Rooms: A Chatbot Guided Bibliotherapy Service

Patrick McAllister
, James Kerr
, Michael McTear
, Maurice Mulvenna
, RR Bond
, Aoife Lyons
, B O'Grady
, T Harkin
, Karen Kirby

Research output: Contribution to conference › Paper › peer-review

368 Downloads (Pure)

Abstract

Chatbots have become a popular choice for organisations in delivering services and e-commerce to users through using natural language processing (NLP). The popularity of chatbots in mental health is increasing and is seen as an accessible approach to receiving mental health support along with clinical/therapy treatment. The aim of this paper is to investigate a digital solution to the Reading Rooms affective bibliotherapy model, using state-of-the-art chatbot technology. This paper discusses the motivation for this work, and how state of-the-art technologies could benefit how Reading Rooms is currently delivered. Paper also discusses current state of the art chatbot applications that are used to support mental health as well as applications that use bibliotherapy

Original language	English
Pages	1-10
Publication status	Published (in print/issue) - 26 Oct 2018
Event	2nd International Workshop on Chatbot Research - St. Petersburg University, School of Journalism and Mass Communications, , St. Petersburg, Russian Federation Duration: 26 Oct 2018 → 26 Oct 2018 https://conversations2018.wordpress.com/

Workshop

Workshop	2nd International Workshop on Chatbot Research
Abbreviated title	CONVERSATIONS-2018
Country/Territory	Russian Federation
City	St. Petersburg
Period	26/10/18 → 26/10/18
Internet address	https://conversations2018.wordpress.com/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

chatbots
mental health
bibliotherapy

Access to Document

conversations_2018_paper_6_position-paper1Final published version, 1 MB

Cite this

@conference{90d85d86f174457a9ada3ae0b14427ec,

title = "Reading Rooms: A Chatbot Guided Bibliotherapy Service",

abstract = "Chatbots have become a popular choice for organisations in delivering services and e-commerce to users through using natural language processing (NLP). The popularity of chatbots in mental health is increasing and is seen as an accessible approach to receiving mental health support along with clinical/therapy treatment. The aim of this paper is to investigate a digital solution to the Reading Rooms affective bibliotherapy model, using state-of-the-art chatbot technology. This paper discusses the motivation for this work, and how state of-the-art technologies could benefit how Reading Rooms is currently delivered. Paper also discusses current state of the art chatbot applications that are used to support mental health as well as applications that use bibliotherapy",

keywords = "chatbots, mental health, bibliotherapy",

author = "Patrick McAllister and James Kerr and Michael McTear and Maurice Mulvenna and RR Bond and Aoife Lyons and B O'Grady and T Harkin and Karen Kirby",

year = "2018",

month = oct,

day = "26",

language = "English",

pages = "1--10",

note = "2nd International Workshop on Chatbot Research, CONVERSATIONS-2018 ; Conference date: 26-10-2018 Through 26-10-2018",

url = "https://conversations2018.wordpress.com/",

}

TY - CONF

T1 - Reading Rooms: A Chatbot Guided Bibliotherapy Service

AU - McAllister, Patrick

AU - Kerr, James

AU - McTear, Michael

AU - Mulvenna, Maurice

AU - Bond, RR

AU - Lyons, Aoife

AU - O'Grady, B

AU - Harkin, T

AU - Kirby, Karen

PY - 2018/10/26

Y1 - 2018/10/26

N2 - Chatbots have become a popular choice for organisations in delivering services and e-commerce to users through using natural language processing (NLP). The popularity of chatbots in mental health is increasing and is seen as an accessible approach to receiving mental health support along with clinical/therapy treatment. The aim of this paper is to investigate a digital solution to the Reading Rooms affective bibliotherapy model, using state-of-the-art chatbot technology. This paper discusses the motivation for this work, and how state of-the-art technologies could benefit how Reading Rooms is currently delivered. Paper also discusses current state of the art chatbot applications that are used to support mental health as well as applications that use bibliotherapy

AB - Chatbots have become a popular choice for organisations in delivering services and e-commerce to users through using natural language processing (NLP). The popularity of chatbots in mental health is increasing and is seen as an accessible approach to receiving mental health support along with clinical/therapy treatment. The aim of this paper is to investigate a digital solution to the Reading Rooms affective bibliotherapy model, using state-of-the-art chatbot technology. This paper discusses the motivation for this work, and how state of-the-art technologies could benefit how Reading Rooms is currently delivered. Paper also discusses current state of the art chatbot applications that are used to support mental health as well as applications that use bibliotherapy

KW - chatbots

KW - mental health

KW - bibliotherapy

UR - https://conversations2018.files.wordpress.com/2018/10/conversations_2018_paper_6_position-paper1.pdf

M3 - Paper

SP - 1

EP - 10

T2 - 2nd International Workshop on Chatbot Research

Y2 - 26 October 2018 through 26 October 2018

ER -

Reading Rooms: A Chatbot Guided Bibliotherapy Service

Abstract

Workshop

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management

Karen Kirby

Cite this

Reading Rooms: A Chatbot Guided Bibliotherapy Service

Abstract

Workshop

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Student theses

Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management

Profiles

Karen Kirby

Cite this