Intelligent user experience tool to help evaluate and quality assure handcrafted chatbot dialogue designs

Conference theme: The International BCS Human-Computer Interaction Conference in 2024 was supported by the BCS Interactions Special Interest Group and hosted by the University of Central Lancashire in Preston. The BCS HCI Conference welcomed submissions on all aspects of human-computer interaction. Topics included: user experience (UX), usability testing, interaction design (IxD), human-centred AI (HCAI), education, health, sustainability, the Internet of Things (IoT), interaction technologies, and emerging interactive applications.

Conference date: 15–17 July 2024

Keywords: Chatbot development, UX, User experience, Conversational design, Natural language processing, Sentiment analysis, Complexity assessment, Emoji validation, Utterance length

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Author and article information

Contributors

Sujisha Puthukulangara

Raymond R. Bond

Maurice D. Mulvenna

Michael F. McTear

Conference

Publication date: July 2024

Publication date (Print): July 2024

Pages: 1-6

Affiliations

[0001]School of Computing

Ulster University

Belfast, Northern Ireland

Article

DOI: 10.14236/ewic/BCSHCI2024.1

SO-VID: fe5841be-0e79-4117-9d60-71d6d3112a05

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 37th International BCS Human-Computer Interaction Conference

Conference acronym: BCS HCI 24

Conference number: 37

Conference location: University of Central Lancashire (UCLan)

Conference date: 15–17 July 2024

Conference sponsor: Electronic Workshops in Computing (eWiC)

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/BCSHCI2024.1

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

S. N. Mohd, S. Pi, & M.A. Majid (2020). Components of Smart Chatbot Academic Model for a University Website. Emerging Technology in Computing, Communication and Electronics (ETCCE).
D. Arora, S. Abhi, & A. Bhagat ( 2023, March ). An AI-based Cognitive Chatbot for VMware Troubleshooting. In 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 957-961). IEEE.
K. K. Srinivas, A. Peddi, B. S. Srinivas, P. H. Vardhini, H. L. P. Prasad, & S.K. Choudhary (2022, March). Artificial intelligence techniques for Chatbot applications. In 2022 International mobile and embedded technology conference (MECON) (pp. 292-296). IEEE.
H. Hensel (2014). Validation of the Flesch-Kincaid Grade Level within the Dutch educational system. Unpublished doctoral dissertation). University of Twente, The Netherlands.
R. Bond, F. Booth, M. Mulvenna, C. Potts, O'R. Keefe, C. Kostenius, T. Broderick, A. Bickerdike, C. Burns, E. Coughlan, I. S. A. Dhanapala, F. Lindstrom, L. Kousmanen, H. Nieminen, A. Vartiainen, H. Roarty, M. McLean, M. Malcolm, & A. Robertson (2022). Chatpal Chatbot dialogue data -version 1. Ulster University. [Cross Ref]
S. Bird, E. Klein, & E. Loper (2009). Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc.

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[1] S. N. Mohd, S. Pi, & M.A. Majid (2020). Components of Smart Chatbot Academic Model for a University Website. Emerging Technology in Computing, Communication and Electronics (ETCCE).

[2] D. Arora, S. Abhi, & A. Bhagat ( 2023, March ). An AI-based Cognitive Chatbot for VMware Troubleshooting. In 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 957-961). IEEE.

[3] K. K. Srinivas, A. Peddi, B. S. Srinivas, P. H. Vardhini, H. L. P. Prasad, & S.K. Choudhary (2022, March). Artificial intelligence techniques for Chatbot applications. In 2022 International mobile and embedded technology conference (MECON) (pp. 292-296). IEEE.

[4] H. Hensel (2014). Validation of the Flesch-Kincaid Grade Level within the Dutch educational system. Unpublished doctoral dissertation). University of Twente, The Netherlands.

[5] R. Bond, F. Booth, M. Mulvenna, C. Potts, O'R. Keefe, C. Kostenius, T. Broderick, A. Bickerdike, C. Burns, E. Coughlan, I. S. A. Dhanapala, F. Lindstrom, L. Kousmanen, H. Nieminen, A. Vartiainen, H. Roarty, M. McLean, M. Malcolm, & A. Robertson (2022). Chatpal Chatbot dialogue data -version 1. Ulster University. [Cross Ref]

[6] S. Bird, E. Klein, & E. Loper (2009). Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc.

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