The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents

Author:

Borsci Simone,Malizia Alessio,Schmettow Martin,van der Velde Frank,Tariverdiyeva Gunay,Balaji Divyaa,Chamberlain AlanORCID

Abstract

AbstractStandardised tools to assess a user’s satisfaction with the experience of using chatbots and conversational agents are currently unavailable. This work describes four studies, including a systematic literature review, with an overall sample of 141 participants in the survey (experts and novices), focus group sessions and testing of chatbots to (i) define attributes to assess the quality of interaction with chatbots and (ii) the designing and piloting a new scale to measure satisfaction after the experience with chatbots. Two instruments were developed: (i) A diagnostic tool in the form of a checklist (BOT-Check). This tool is a development of previous works which can be used reliably to check the quality of a chatbots experience in line with commonplace principles. (ii) A 15-item questionnaire (BOT Usability Scale, BUS-15) with estimated reliability between .76 and .87 distributed in five factors. BUS-15 strongly correlates with UMUX-LITE by enabling designers to consider a broader range of aspects usually not considered in satisfaction tools for non-conversational agents, e.g. conversational efficiency and accessibility, quality of the chatbot’s functionality and so on. Despite the convincing psychometric properties, BUS-15 requires further testing and validation. Designers can use it as a tool to assess products, thus building independent databases for future evaluation of its reliability, validity and sensitivity.

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Reference87 articles.

1. Amazon. (2018). Voice Design Checklist. Amazon. Retrieved 26th April from https://developer.amazon.com/docs/alexa-design/checklists.html#voice-design-checklist

2. Applin SA, Fischer MD (2015) New technologies and mixed-use convergence: How humans and algorithms are adapting to each other. IEEE International Symposium on Technology and Society (ISTAS), Dublin

3. Borsci S, Federici S, Bacci S, Gnaldi M, Bartolucci F (2015) Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience. International Journal of Human–Computer Interaction 31(8):484–495. https://doi.org/10.1080/10447318.2015.1064648

4. Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots International Conference on Internet Science

5. Brandtzaeg PB, Følstad A (2018) Chatbots: changing user needs and motivations. Interactions 25(5):38–43

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