short-paper

A framework for understanding chatbots and their future

Authors:

Elahe Paikari,

André van der HoekAuthors Info & Claims

CHASE '18: Proceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering

Pages 13 - 16

https://doi.org/10.1145/3195836.3195859

Published: 27 May 2018 Publication History

Get Access

Abstract

Chatbots have rapidly become a mainstay in software development. A range of chatbots contribute regularly to the creation of actual production software. It is somewhat difficult, however, to precisely delineate hype from reality. Questions arise as to what distinguishes a chatbot from an ordinary software tool, what might be desirable properties of chatbots, and where their future may lie. This position paper introduces a starting framework through which we examine the current state of chatbots and identify directions for future work.

References

[1]

Sameera A. Abdul-Kader and John Woods. 2015. Survey on chatbot design techniques in speech conversation systems. Int. J. Adv. Comput. Sci. Appl. 6, 7 (2015), 72--80.

Google Scholar

[2]

Stefan Bieliauskas and Andreas Schreiber. 2017. A Conversational User Interface for Software Visualization. In Software Visualization (VISSOFT), 2017 IEEE Working Conference on, 139--143.

Crossref

Google Scholar

[3]

Google Developers. PullString: Storytelling in the Age of Conversational Interfaces (Google I/O '17). Retrieved February 4, 2018 from https://www.youtube.com/watch?v=pz8EQHMRr6Y&index=10&list=PL9g5RfWLvLrZd2BhhTj0J4s_iC9j8kgwd

Google Scholar

[4]

Jennifer Hill, W. Randolph Ford, and Ingrid G. Farreras. 2015. Real conversations with artificial intelligence: A comparison between human-human online conversations and human-chatbot conversations. Comput. Hum. Behav. 49, (2015), 245--250.

Digital Library

Google Scholar

[5]

H. N. Io and C. B. Lee. 2017. Chatbots and conversational agents: A biblio-metric analysis. In Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on, 215--219.

Google Scholar

[6]

Carlene Lebeuf, Margaret-Anne Storey, and Alexey Zagalsky. 2017. How Software Developers Mitigate Collaboration Friction with Chatbots. ArXiv Prepr. ArXiv170207011 (2017).

Google Scholar

[7]

Carlene Lebeuf, Margaret-Anne Storey, and Alexey Zagalsky. 2018. Software Bots. IEEE Softw. 35, 1 (2018), 18--23.

Google Scholar

[8]

Bin Lin, Alexey Zagalsky, Margaret-Anne Storey, and Alexander Serebrenik. 2016. Why developers are slacking off: Understanding how software teams use slack. In Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, 333--336.

Digital Library

Google Scholar

[9]

Rahul Pandita, Steven Bucuvalas, Hugolin Bergier, Aleksandar Chakarov, and Elizabeth Richards. 2018. Towards JARVIS for Software Engineering: Lessons Learned in Implementing a Natural Language Chat Interface. Workshop NLP Softw. Eng. AAAI Conf. Artif. Intell. (2018).

Google Scholar

[10]

Rob Price. 2016. Microsoft is deleting its AI chatbot's incredibly racist tweets. Bus. Insid. (2016).

Google Scholar

[11]

Douglas Robertson. 2017. Facebook shut robots down after they developed their own language. It's more common than you think. The Independent. Retrieved February 8, 2018 from http://www.independent.co.uk/voices/face-book-shuts-down-robots-ai-artificial-intelligence-develop-own-language-common-a7871341.html

Google Scholar

[12]

Bayan Abu Shawar and Eric Steven Atwell. 2005. Using corpora in machine-learning chatbot systems. Int. J. Corpus Linguist. 10, 4 (2005), 489--516.

Google Scholar

[13]

Margaret-Anne Storey and Alexey Zagalsky. 2016. Disrupting developer productivity one bot at a time. In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 928--931.

Digital Library

Google Scholar

[14]

Joseph Weizenbaum. 1966. ELIZA---a Computer Program for the Study of Natural Language Communication Between Man and Machine. Commun ACM 9, 1 (January 1966), 36--45.

Digital Library

Google Scholar

Cited By

View all

Lambiase SCatolino GPalomba FFerrucci F(2024)Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature ReviewACM Computing Surveys10.1145/3704806Online publication date: 20-Nov-2024
https://doi.org/10.1145/3704806
Freire EGonçalves EOliveira MLeite LSantos S(2024)PriseBot - A chatbot to assist in the development of iStarProceedings of the 20th Brazilian Symposium on Information Systems10.1145/3658271.3658317(1-10)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3658271.3658317
Arya SBhaskar AGupta K(2024)Conversational Ai: A Treatise About Vying Chatbots2024 2nd International Conference on Disruptive Technologies (ICDT)10.1109/ICDT61202.2024.10489545(929-934)Online publication date: 15-Mar-2024
https://doi.org/10.1109/ICDT61202.2024.10489545
Show More Cited By

Index Terms

A framework for understanding chatbots and their future
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces
2. Software and its engineering
  1. Software notations and tools

Recommendations

Exploring how politeness impacts the user experience of chatbots for mental health support
Abstract
Politeness is important in human–human interaction when asking people to engage in sensitive conversations. If politeness manifests similarly in human–chatbot interaction, it may play an important role in the design of sensitive chatbot ...
Highlights
- Politeness can both positively and negatively impact the chatbot user experience.
- The Personal politeness chatbot was experienced as caring and encouraging.
- The Passive politeness chatbot was experienced as too apologetic and ...
User Engagement with Chatbots: A Discursive Psychology Approach
CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces

Conversational agents have transcended into multiple industries with increased ability for user engagement in intelligent conversation. Conversations with chatbots are different from interpersonal communication in terms of turn-taking, intentions, and ...
Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Text-based conversational systems, also referred to as chatbots, have grown widely popular. Current natural language understanding technologies are not yet ready to tackle the complexities in conversational interactions. Breakdowns are common, leading ...

Comments

Information & Contributors

Information

Published In

CHASE '18: Proceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering

May 2018

136 pages

ISBN:9781450357258

DOI:10.1145/3195836

Conference Chairs:
Helen Sharp
The Open University, United Kingdom
,
Cleidson R. B. de Souza
Universidade Federal do Pará and Instituto Tecnológico Vale, Tv, Brazil
,
Daniel Graziotin
University of Stuttgart, Germany
,
Meira Levy
Shenkar College of Engineering, Design and Art, Israel
,
David Socha
University of Washington Bothell

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

ICSE '18

Sponsor:

SIGSOFT
IEEE-CS

ICSE '18: 40th International Conference on Software Engineering

May 27, 2018

Gothenburg, Sweden

Acceptance Rates

Overall Acceptance Rate 47 of 70 submissions, 67%

Upcoming Conference

ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

41
Total Citations
View Citations
1,606
Total Downloads

Downloads (Last 12 months)76
Downloads (Last 6 weeks)8

Reflects downloads up to 13 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Lambiase SCatolino GPalomba FFerrucci F(2024)Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature ReviewACM Computing Surveys10.1145/3704806Online publication date: 20-Nov-2024
https://doi.org/10.1145/3704806
Freire EGonçalves EOliveira MLeite LSantos S(2024)PriseBot - A chatbot to assist in the development of iStarProceedings of the 20th Brazilian Symposium on Information Systems10.1145/3658271.3658317(1-10)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3658271.3658317
Arya SBhaskar AGupta K(2024)Conversational Ai: A Treatise About Vying Chatbots2024 2nd International Conference on Disruptive Technologies (ICDT)10.1109/ICDT61202.2024.10489545(929-934)Online publication date: 15-Mar-2024
https://doi.org/10.1109/ICDT61202.2024.10489545
Liang YMa SLin C(2024)Chatbotification for Web Information Systems: A Pattern-Based Approach2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00368(2290-2295)Online publication date: 2-Jul-2024
https://doi.org/10.1109/COMPSAC61105.2024.00368
Jang SLee HKim YLee DShin JNam J(2024)When, What, and how should generative artificial intelligence explain to Users?Telematics and Informatics10.1016/j.tele.2024.10217593(102175)Online publication date: Sep-2024
https://doi.org/10.1016/j.tele.2024.102175
Bangera SBhat S(2023)A Systematic Study of Application of Cognitive Intelligence in Mphasis – a Case StudyInternational Journal of Case Studies in Business, IT, and Education10.47992/IJCSBE.2581.6942.0278(360-380)Online publication date: 30-Jun-2023
https://doi.org/10.47992/IJCSBE.2581.6942.0278
Asthana SSajnani HVoyloshnikova EAcharya BHerzig KChandra SBlincoe KTonella P(2023)A Case Study of Developer Bots: Motivations, Perceptions, and ChallengesProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3616248(1268-1280)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3616248
Santhanam SHecking TSchreiber AWagner S(2022)Bots in software engineering: a systematic mapping studyPeerJ Computer Science10.7717/peerj-cs.8668(e866)Online publication date: 9-Feb-2022
https://doi.org/10.7717/peerj-cs.866
Wu XGao AZhang YWang TTang Y(2022)A Preliminary Study of Bots Usage in Open Source CommunityProceedings of the 13th Asia-Pacific Symposium on Internetware10.1145/3545258.3545284(175-180)Online publication date: 11-Jun-2022
https://dl.acm.org/doi/10.1145/3545258.3545284
Agarwal SAgarwal BGupta R(2022)Chatbots and virtual assistants: a bibliometric analysisLibrary Hi Tech10.1108/LHT-09-2021-033040:4(1013-1030)Online publication date: 8-Jul-2022
https://doi.org/10.1108/LHT-09-2021-0330
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.

Cited By

Index Terms

Recommendations

Exploring how politeness impacts the user experience of chatbots for mental health support

User Engagement with Chatbots: A Discursive Psychology Approach

Resilient Chatbots: Repair Strategy Preferences for Conversational Breakdowns