More Web Proxy on the site http://driver.im/

research-article

Towards healthcare personal agents

Author:

Giuseppe RiccardiAuthors Info & Claims

RFMIR '14: Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges

Pages 53 - 56

https://doi.org/10.1145/2666253.2666266

Published: 16 November 2014 Publication History

Abstract

For a long time, the research on human-machine conversation and interaction has inspired futuristic visions created by film directors and science fiction writers. Nowadays, there has been great progress towards this end by the extended community of artificial intelligence scientists spanning from computer scientists to neuroscientists. In this paper we first review the tension between the latest advances in the technology of virtual agents and the limitations in the modality, complexity and sociability of conversational agent interaction. Then we identify a research challenge and target for the research and technology community. We need to create a vision and research path to create personal agents that are perceived as devoted assistants and counselors in helping end-users managing their own healthcare and well-being throughout their life. Such target is a high-payoff research agenda with high-impact on the society. In this position paper, following a review of the state-of-the-art in conversational agent technology, we discuss the challenges in spoken/multimodal/multi-sensorial interaction needed to support the development of Healthcare Personal Agents.

References

[1]

http://en.wikipedia.org/wiki/Siri

[2]

http://en.wikipedia.org/wiki/Microsoft_Cortana

[3]

http://en.wikipedia.org/wiki/Google_Now

[4]

www.nuance.com

[5]

Johnston, M. et al. 2014 MVA: The Multimodal Virtual Assistant In Proc. SIGDIAL Conference, pages 257--259.

[6]

Corchado, Juan M., Javier Bajo, and Ajith Abraham 2008 GerAmi: Improving healthcare delivery in geriatric residences Intelligent Systems, IEEE 23.2: 19--25.

Digital Library

[7]

Ring, Lazlo, et al. 2013 Addressing Loneliness and Isolation in Older Adults: Proactive Affective Agents Provide Better Support In Proc. Affective Computing and Intelligent Interaction Humaine Association Conference.

Digital Library

[8]

Bickmore, Timothy W., et al. 2010 Usability of conversational agents by patients with inadequate health literacy: Evidence from two clinical trials Journal of health communication 15.S2: 197--210.

[9]

European Directory of Health Apps 2012--2013, Clive Nead Editor, published by Patent View 2012.

[10]

Baig, M.M. and Gholamhosseini, H. 2013. Smart Health Monitoring Systems: An Overview of Design and Modeling, Journal of Medical Systems. 37:9898.

[11]

Minato,M., Nishio, S., Ogawa, K. and Ishiguro, H. 2012. Development of Cellphone-type Tele-operated Android In Proceedings of the 10th Asia Pacific Conf. Computer Human Interaction.

[12]

http://en.wikipedia.org/wiki/AIBO

[13]

Di Fabbrizio, G., Okken, T. and Wilpon, J. G. 2009 A Speech Mashup Framework for Multimodal Mobile Services In Proc. ICMI-MLMI, Cambridge, USA.

Digital Library

[14]

Vincent, J. Emotional attachment and mobile phones 2006 Knowledge, Technology & Policy 19.1: 39--44.

[15]

Ghosh, A. and Riccardi, G. 2014 Recognizing Human Activities from Smartphone Sensor Signals In Proc. 22nd ACM International Conference on Multimedia.

Digital Library

[16]

Gorin, A., Riccardi,G. and Wright, J. H., 1997, How May I Help You -- Speech Communication, vol. 23, pp.113--127.

Digital Library

[17]

Freitas, A. C., Benevenuto, F., Ghosh, S. and Veloso, A., 2014, Reverse Engineering Socialbot Infiltration Strategies in Twitter 2014, In Proc. ELREC, Reykiavik.

[18]

Williams, J. D. and Young,S. 2007, Partially Observable Markov Decision Processes for Spoken Dialog Systems, Computer Speech and Language, 21 (2), 393--422.

Digital Library

[19]

Varges, S., Riccardi, G., Quarteroni, S. and Ivanov, I. 2011, POMDP Concept Policies and Task Structures for Hybrid Dialog Management 2011, In Proc. ICASSP, Prague.

Cited By

K. A. Balasubramaniam L. Anitha R. Anandavalli V. Selva Kumar (2023)Role of Artificial Intelligence in the Medical FieldJournal of Artificial Intelligence and Capsule Networks10.36548/jaicn.2023.4.0015:4(346-361)Online publication date: Dec-2023
https://doi.org/10.36548/jaicn.2023.4.001
Amjad AKordel PFernandes G(2023)A Review on Innovation in Healthcare Sector (Telehealth) through Artificial IntelligenceSustainability10.3390/su1508665515:8(6655)Online publication date: 14-Apr-2023
https://doi.org/10.3390/su15086655
Danieli MCiulli TMousavi SSilvestri GBarbato SDi Natale LRiccardi G(2022)Assessing the Impact of Conversational Artificial Intelligence in the Treatment of Stress and Anxiety in Aging Adults: Randomized Controlled TrialJMIR Mental Health10.2196/380679:9(e38067)Online publication date: 23-Sep-2022
https://doi.org/10.2196/38067
Show More Cited By

Index Terms

Towards healthcare personal agents
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Discourse, dialogue and pragmatics
      2. Speech recognition

Recommendations

Empathy framework for embodied conversational agents
Abstract
Empathy is a complex socio-emotional behavior that results from the interaction between affective and cognitive mechanisms. Equipping embodied conversational agents (ECAs) with empathic capacity can benefit from the integration and ...
Natural Language, Mixed-initiative Personal Assistant Agents
IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

The increasing popularity and use of personal voice assistant technologies, such as Siri and Google Now, is driving and expanding progress toward the long-term and lofty goal of using artificial intelligence to build human-computer dialog systems ...
Adapted Foreigner-directed Communication towards Virtual Agents
IVA '18: Proceedings of the 18th International Conference on Intelligent Virtual Agents

People tend to adapt to their conversation partners. In mixed-cultural settings, with a native and a non-native speaker, adaptation can manifest itself in the usage of simplified language or increased usage of nonverbal scaffolding to foster ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

RFMIR '14: Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges

November 2014

68 pages

ISBN:9781450306157

DOI:10.1145/2666253

Program Chairs:
Dirk Heylen
University of Twente, NL
,
Alessandro Vinciarelli
University of Glasgow, UK

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

ICMI '14

Sponsor:

SIGCHI

ICMI '14: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

November 16, 2014

Istanbul, Turkey

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
577
Total Downloads

Downloads (Last 12 months)29
Downloads (Last 6 weeks)5

Reflects downloads up to 06 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

K. A. Balasubramaniam L. Anitha R. Anandavalli V. Selva Kumar (2023)Role of Artificial Intelligence in the Medical FieldJournal of Artificial Intelligence and Capsule Networks10.36548/jaicn.2023.4.0015:4(346-361)Online publication date: Dec-2023
https://doi.org/10.36548/jaicn.2023.4.001
Amjad AKordel PFernandes G(2023)A Review on Innovation in Healthcare Sector (Telehealth) through Artificial IntelligenceSustainability10.3390/su1508665515:8(6655)Online publication date: 14-Apr-2023
https://doi.org/10.3390/su15086655
Danieli MCiulli TMousavi SSilvestri GBarbato SDi Natale LRiccardi G(2022)Assessing the Impact of Conversational Artificial Intelligence in the Treatment of Stress and Anxiety in Aging Adults: Randomized Controlled TrialJMIR Mental Health10.2196/380679:9(e38067)Online publication date: 23-Sep-2022
https://doi.org/10.2196/38067
Nißen MRüegger DStieger MFlückiger CAllemand Mv Wangenheim FKowatsch T(2022)The Effects of Health Care Chatbot Personas With Different Social Roles on the Client-Chatbot Bond and Usage Intentions: Development of a Design Codebook and Web-Based StudyJournal of Medical Internet Research10.2196/3263024:4(e32630)Online publication date: 27-Apr-2022
https://doi.org/10.2196/32630
Jane Mee SDaher SDeFranco J(2022)Alexa, M.D.Computer10.1109/MC.2021.312652855:2(85-89)Online publication date: Feb-2022
https://doi.org/10.1109/MC.2021.3126528
Tavares RSousa HRibeiro J(2022)Smart Speakers and Functional Diversity: A Scoping ReviewComputer Supported Qualitative Research10.1007/978-3-031-04680-3_4(48-64)Online publication date: 5-May-2022
https://doi.org/10.1007/978-3-031-04680-3_4
Verma SMalviya RAlam MTripathi B(2022)Tele‐Health Monitoring Using Artificial Intelligence Deep Learning FrameworkDeep Learning for Targeted Treatments10.1002/9781119857983.ch7(199-228)Online publication date: 19-Sep-2022
https://doi.org/10.1002/9781119857983.ch7
Tolmeijer SZierau NJanson AWahdatehagh JLeimeister JBernstein A(2021)Female by Default? – Exploring the Effect of Voice Assistant Gender and Pitch on Trait and Trust AttributionExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451623(1-7)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451623
Catania L(2021)Current AI applications in medical therapies and servicesFoundations of Artificial Intelligence in Healthcare and Bioscience10.1016/B978-0-12-824477-7.00013-4(199-291)Online publication date: 2021
https://doi.org/10.1016/B978-0-12-824477-7.00013-4
Alloatti FBosca ADi Caro LPieraccini F(2021)Diabetes and conversational agents: the AIDA project case studyDiscover Artificial Intelligence10.1007/s44163-021-00005-11:1Online publication date: 22-Sep-2021
https://doi.org/10.1007/s44163-021-00005-1
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents