umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adaptive human-agent dialogues for reasoning about health
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of this research is to develop new theories, methods and technology, which enables adaptive and personalised dialogues between a human and a software agent, to handle everyday queries about health that are perceived as meaningful and useful to the human. Some of the challenges to build such human-agent dialogue system are the following. The agent needs to have knowledge about the human, the topic of the dialogue, the knowledge domain of the topic, and also about the physical and social environment. Moreover, the agent must know about itself, its role, purpose and limitations. It must know how to be cooperative and be able to behave and express with empathy while conducting a dialogue activity. In some situations, it needs to reason and make decisions about a topic together with the human and about its own behavior. To be able to do this, it needs the capability to evaluate its behavior in the context in which the dialogue takes place. These challenges are addressed by developing formal semantic models to provide the agent with tools to build their knowledge and to be able to reason and make decisions. These models were developed based on literature studies, theories of human activity, argumentation theory, personas and scenarios.

The models were formalised and implemented using Semantic Web technology, and integrated into a human-agent dialogue system. The system was evaluated with a group of therapists and a group of elderly people, who showed curiosity and interest in having dialogues with a software agent on various topics.

The formal models that the agent constructs are adapted to the specific situation and to the human actor participating in a dialogue. They are based on four models: a model with knowledge about the human actor, a model of itself, a domain model, and a dialogue activity model. The dialogue activity is based on argumentation schemes, which function as patterns of reasoning and for the dialogue execution. These models allow the agent and the human actor to conduct flexible and nested sub-dialogues with different purposes within a main dialogue about a topic. The agent can adapt its moves to the human actor's trail of reasoning, to the human's priorities and goals, and to some human's emotional state. A method for the agent to be able to evaluate its behavior was also developed and evaluated. The proportion of appropriate moves in relation to the local context of earlier moves in the dialogue was 90% in the pilot study, which indicates that the agent's strategies for selecting moves can be improved.

Future research will focus on further development of reasoning methods, learning and assessment methods, and interface design. The results will be applied to additional knowledge domains to test its domain independence and will be evaluated with different groups of potential users.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2014. , 32 p.
Series
Report / UMINF, ISSN 0348-0542 ; 14.19
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-96756ISBN: 978-91-7601-135-5 (print)OAI: oai:DiVA.org:umu-96756DiVA: diva2:767621
Supervisors
Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2014-12-02Bibliographically approved
List of papers
1. Towards personalised support for monitoring and improving health in risky environments
Open this publication in new window or tab >>Towards personalised support for monitoring and improving health in risky environments
2013 (English)In: VIII Workshop on Agents Applied in Health Care (A2HC), 2013, 93-104 p.Conference paper, Published paper (Refereed)
National Category
Computer Science
Research subject
människa-datorinteraktion
Identifiers
urn:nbn:se:umu:diva-79522 (URN)
Conference
VIII Workshop on Agents Applied in Health Care (A2HC) 2013
Available from: 2013-08-21 Created: 2013-08-21 Last updated: 2014-12-02Bibliographically approved
2. Cognitive Architecture of an Agent for Human-Agent Dialogues
Open this publication in new window or tab >>Cognitive Architecture of an Agent for Human-Agent Dialogues
2014 (English)In: Highlights of Practical Applications of Heterogeneous Multi-Agent Systems: the PAAMS Collection, Springer, 2014, Vol. 430, 89-100 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a cognitive architecture of an intelligent agent that can have a dialogue with a human agent on health-related topics. This architecture consists of four main components, namely, the Belief Base, the Dialogue Manager, the Task Manager and the Plan Generator. Each component has sub-components that perform a set of tasks for the purpose to enable the agent to be enrolled in a dialogue. In this paper the particular sub-component of the Dialogue Manager, the Dialogue Strategy has been discussed in detail. A notion of scheme is introduced, which functions as a template with variables that are instantiated each time a state is entered. The agent’s dialogue strategy is implemented as a combination of the schemes and the state transitions that the agent makes in response to the human’s request. We used a combination of finite-state and agent-based dialogue strategies for dialogue management. This combined dialogue strategy enables a multi-topic dialogue between a human and an agent.

Place, publisher, year, edition, pages
Springer, 2014
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 430
Keyword
Human-computer interaction, dialogue, agent, architecture
National Category
Computer Science
Identifiers
urn:nbn:se:umu:diva-89675 (URN)10.1007/978-3-319-07767-3_9 (DOI)000357810200009 ()978-3-319-07767-3 (ISBN)978-3-319-07766-6 (ISBN)
Conference
International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), JUN 04-06, 2014, Salamanca, SPAIN
Available from: 2014-06-09 Created: 2014-06-09 Last updated: 2017-01-16Bibliographically approved
3. Semantic model for adaptive human-agent dialogues
Open this publication in new window or tab >>Semantic model for adaptive human-agent dialogues
2014 (English)Manuscript (preprint) (Other academic)
Abstract [en]

A common conversation between an older adult and a nurse about health-related issues includes topics such as troubles with sleep, reasons for walking around nighttime, pain conditions, etc. Such a dialogue can be regarded as a "natural" dialogue emerging from the participating agents' lines of thinking, their roles, needs and motives, while switching between topics as the dialogue unfolds. The purpose of this work is to define a generic model of purposeful human-agent dialogues suitable for health-related topics. This is done based on analyses of scenarios, personas and models of human behavior. The results include four models, which need to be included in a software agent's belief base; i) a user model, ii) a model of the domain knowledge related to the topic of the dialogue, iii) an agent model, and iv) a dialogue activity model. The models were implemented into a prototype system for human-agent dialogues, which was evaluated by therapists and a group of older adults.

Keyword
personalization, dialogue systems, health promotion, argumentation, intelligent agent, user model
National Category
Computer Science
Identifiers
urn:nbn:se:umu:diva-96755 (URN)
Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2015-05-11Bibliographically approved

Open Access in DiVA

fulltext(580 kB)157 downloads
File information
File name FULLTEXT01.pdfFile size 580 kBChecksum SHA-512
f48d0f95ee63045daa532bb473c98d21406450f8acb9e6ddc596471fde210cbc00118c2725708a657b24a9e3294612122be90700f1ed24564b0abd9586cace2b
Type fulltextMimetype application/pdf

Authority records BETA

Baskar, Jayalakshmi

Search in DiVA

By author/editor
Baskar, Jayalakshmi
By organisation
Department of Computing Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 157 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 227 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf