CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Tom Feltwell <[log in to unmask]>
Reply To:
Tom Feltwell <[log in to unmask]>
Date:
Tue, 30 Apr 2019 12:42:09 +0000
Content-Type:
text/plain
Parts/Attachments:
text/plain (102 lines)
POSITION PAPER DEADLINE 27th May (3-6 pages LNCS)


-----


Researchers and practitioners with an interest in chatbot research and design are invited to a full day workshop, in conjunction with the HCI conference INTERACT 2019. Together we explore how chatbots may be designed and developed for social good, and the implications of this perspective. Workshop participants are selected on the basis of submitted position papers (3-6 pages, Springer LNCS format), addressing one or more of the workshop topics. Accepted position papers are published in an adjunct conference proceedings.



---

WORKSHOP TIME / PLACE: September 3, Paphos, Cyprus.



WORKSHOP WEBPAGE: https://sites.google.com/view/chatbotsforsocialgood2019



POSITION PAPER SUBMISSION DEADLINE - EXTENDED: MAY 27



SUBMISSION: Email your submission to the workshop organizers on the following address [log in to unmask]<mailto:[log in to unmask]>

---



KEY TOPICS

(a) Chatbots for social good? Why and how can chatbots be developed with the aim of beneficial social impact? And how should researchers and practitioners take responsibility for the social impact of technology interventions?

(b) Salient examples. Which are the good examples of chatbots for social good? How can they guide future practice?

(c) Future opportunities. How can the perspective of social good guide future technology and business development? How can the perspective of chatbots for social good help realize a broader uptake of chatbots?

(d) Challenges. How to identify unwanted and unintended consequences in social good initiatives? How to distinguish chatbots for social good on the basis of the underlying motivations and intentions as well as anticipated outcomes?

(e) Changing practice. How to change chatbot design and development practice to reflect a concern for beneficial social impact? How to embed chatbots for social good in business and tech industry?


WORKSHOP MOTIVATION

Over the last few years there has been a marked increase in the interest in chatbots, that is, conversational user interfaces to data and services. This increase is motivated by technological opportunity and commercial concern. Chatbots are seen as vehicles for strong engagements between service providers and users, and chatbots for customer service are seen as a means towards cost-effective service provision.



This technology- and business-centric approach to chatbots may have come at the expense of advancing chatbots in response to real user needs and desires. Put bluntly, one might argue that current chatbots too often are designed to be good for business, not to improve the lives of people. This is potentially critical, as it is challenging to convince users to take up chatbots if they do not see them as substantial improvements in their current digital environment.



In the workshop, we pursue an alternative approach to chatbot design and development. An approach where chatbots are seen as holding a potential for beneficial social impact. Instead of asking how chatbots should be designed and developed to strengthen business, we aim to facilitate reflections on how chatbots can be used to improve the lives of individuals and society at large.



Chatbots for social good is a promising perspective which, first of all, may support new insights and ideas into how chatbots may make life better for people. Furthermore, novel chatbot services, developed with the best interest of people and society at heart, may be just what is needed to realize a mass market adoption of this technology.



EXPECTED OUTCOMES

The workshop outcomes will be proposed actions for industry and research priorities. These will be written up by the workshop organizers, in collaboration with volunteer workshop participants, and made available to a broader audience through a publication targeting chatbot researchers and practitioners. The minimum version will be a presentation available through the workshop webpage. However, we also hope to be able to communicate key findings through a future academic publication and/or a press article.



ORGANIZERS

Asbjørn Følstad (SINTEF)

Effie L.-C. Law (Leicester University)

Tom Feltwell (Northumbria University)

Ewa Luger (University of Edinburgh)

Petter Bae Brandtzaeg (University of Oslo & SINTEF)



---

WORKSHOP WEBPAGE: https://sites.google.com/view/chatbotsforsocialgood2019


-----
Tom Feltwell,
Senior Research Assistant, NorSC Lab
Northumbria University, Newcastle upon Tyne, UK
This message is intended solely for the addressee and may contain confidential and/or legally privileged information. Any use, disclosure or reproduction without the sender's explicit consent is unauthorised and may be unlawful. If you have received this message in error, please notify Northumbria University immediately and permanently delete it. Any views or opinions expressed in this message are solely those of the author and do not necessarily represent those of the University. Northumbria University email is provided by Microsoft Office365 and is hosted within the EEA, although some information may be replicated globally for backup purposes. The University cannot guarantee that this message or any attachment is virus free or has not been intercepted and/or amended.

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2