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

被引:0
|
作者
Borsci, Simone [1 ,2 ]
Malizia, Alessio [3 ,4 ]
Schmettow, Martin [1 ]
van der Velde, Frank [1 ]
Tariverdiyeva, Gunay [5 ]
Balaji, Divyaa [6 ]
Chamberlain, Alan [7 ]
机构
[1] Department of Learning, Data analysis, and Technology, Cognition, Data and Education (CODE) group, Faculty of Behavioural Management and Social sciences, University of Twente, Enschede, Netherlands
[2] NIHR London In-Vitro Diagnostics Cooperative, Imperial College of London, London, United Kingdom
[3] Computer Science Department, University of Pisa, Pisa, Italy
[4] Molde University College, Molde, Norway
[5] Backbase, Amsterdam, Netherlands
[6] Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands
[7] School of Computer Science, University of Nottingham, Nottingham, United Kingdom
基金
英国科研创新办公室; 英国工程与自然科学研究理事会;
关键词
Buses - Artificial intelligence - Autonomous agents - Surveys - Usability engineering;
D O I
暂无
中图分类号
学科分类号
摘要
Standardised 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. © 2021, The Author(s).
引用
收藏
页码:95 / 119
相关论文
共 50 条
  • [21] USABILITY EVALUATION CASE STUDY IN TECHNOLOGY ENHANCED LEARNING LARGE-SCALE PILOT IN PRIMARY SCHOOLS
    Bogusevschi, Diana
    Playfoot, Jim
    Finlayson, Odilla
    Muntean, Gabriel-Miro
    EDULEARN19: 11TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2019, : 3029 - 3037
  • [22] Assessing the Utility of the System Usability Scale for Evaluating Voice-based User Interfaces
    Ghosh, Debjyoti
    Foong, Pin Sym
    Zhang, Shan
    Zhao, Shengdong
    PROCEEDINGS OF CHINESE CHI 2018: SIXTH INTERNATIONAL SYMPOSIUM OF CHINESE CHI (CHINESE CHI 2018), 2018, : 11 - 15
  • [23] French adaptation and psychometric properties of the "Design-Oriented Evaluation of Perceived Usability (DEEP)" scale
    Gronier, G.
    Lazure, E.
    Dussouet, I.
    PSYCHOLOGIE FRANCAISE, 2024, 69 (03): : 269 - 286
  • [24] User-Centric Design: Adjective Rating Scale for Conversational Agent Interaction
    Faruk, Lawal Ibrahim Dutsinma
    Pal, Debajyoti
    Funilkul, Suree
    Mongkolnam, Pornchai
    Sathapornvajana, Sunisa
    Charoenkitkarn, Nipon
    2024 21ST INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING, JCSSE 2024, 2024, : 689 - 695
  • [25] Usability, Acceptability, and Effectiveness of Web-Based Conversational Agents to Facilitate Problem Solving in Older Adults: Controlled Study
    Bennion, Matthew Russell
    Hardy, Gillian E.
    Moore, Roger K.
    Kellett, Stephen
    Millings, Abigail
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (05)
  • [26] Making the Case for Audience Design in Conversational AI: Users' Pragmatic Strategies and Rapport Expectations in Interaction with a Task-Oriented Chatbot
    Dippold, Doris
    APPLIED LINGUISTICS, 2024,
  • [27] AI-Based Language Chatbot 2.0-The Design and Implementation of English Language Concept Learning Agent App
    Liu, Rui
    Shu, Xin
    Li, Peishan
    Xu, Yinong
    Yeung, Philip
    Lee, Raymond
    EMERGING TECHNOLOGIES FOR EDUCATION, SETE 2021, 2021, 13089 : 25 - 35
  • [28] Bubbleu: Exploring Augmented Reality Game Design with Uncertain AI-based Interaction
    Kim, Minji
    Lee, Kyungjin
    Balan, Rajesh
    Lee, Youngki
    PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023), 2023,
  • [29] Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being
    Han Li
    Renwen Zhang
    Yi-Chieh Lee
    Robert E. Kraut
    David C. Mohr
    npj Digital Medicine, 6
  • [30] Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being
    Li, Han
    Zhang, Renwen
    Lee, Yi-Chieh
    Kraut, Robert E.
    Mohr, David C.
    NPJ DIGITAL MEDICINE, 2023, 6 (01)