The Open UniversitySkip to content
 

Chasing the Chatbots: Directions for Interaction and Design Research

Piccolo, Lara; Mensio, Martino and Alani, Harith (2019). Chasing the Chatbots: Directions for Interaction and Design Research. In: Internet Science. INSCI 2018 (Bodrunova, s ed.), Lecture Notes in Computer Science, Springer, pp. 157–169.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (267kB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-030-17705-8_14
Google Scholar: Look up in Google Scholar

Abstract

Big tech-players have been successful in pushing the chatbots forward. Investments in the technology are growing fast, as well as the number of users and applications available. Instead of driving investments towards a successful diffusion of the technology, user-centred studies are currently chasing the popularity of chatbots. A literature analysis evidences how recent this research topic is, and the predominance of technical challenges rather than understanding users’ perceptions, expectations and contexts of use. Looking for answers to interaction and design questions raised in 2007, when the presence of clever computers in everyday life had been predicted for the year 2020, this paper presents a panorama of the recent literature, revealing gaps and pointing directions for further user-centred research.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
ISBN: 3-030-17705-X, 978-3-030-17705-8
Project Funding Details:
Funded Project NameProject IDFunding Body
COMRADESNot SetEC (European Commission): FP(inc.Horizon2020, H2020, ERC)
Extra Information: Held in conjuntion with the 5th International conference 'Internet Science' (INSCI'2018)
Keywords: chatbots; interaction design; conversational interfaces
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 57382
Depositing User: Lara Piccolo
Date Deposited: 12 Nov 2018 10:45
Last Modified: 23 Jun 2019 06:46
URI: http://oro.open.ac.uk/id/eprint/57382
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU