Key Qualities of Conversational Chatbots - the PEACE Model

被引:12
|
作者
Svikhnushina, Ekaterina [1 ]
Pu, Pearl [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Sch Comp & Commun Sci, Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
chatbots; user study; adoption; questionnaire; SEM; INFORMATION-TECHNOLOGY; CONSUMER ACCEPTANCE; UNIFIED THEORY; VALIDATION;
D O I
10.1145/3397481.3450643
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Open-domain chatbots engage in natural conversations with the user to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of such chatbots most correspond to users' expectations. Even though existing work has considered a wide range of aspects, some key components are still missing. More importantly, the consistency and validity of the combined criteria have not been tested. In this paper, we describe a large-scale survey using a consolidated model to elicit users' preferences, expectations, and concerns. We apply structural equation modeling methods to further validate the data collected from the user survey. The outcome supports the consistency, validity, and reliability of the model, which we call PEACE (Politeness, Entertainment, Attentive Curiosity, and Empathy). PEACE, therefore, defines the key determinants most predictive of user acceptance. This has allowed us to develop a set of implications useful for the development of compelling open-domain chatbots.
引用
收藏
页码:520 / 530
页数:11
相关论文
共 50 条
  • [1] PEACE: A Model of Key Social and EmotionalQualities of Conversational Chatbots
    Svikhnushina, Ekaterina
    Pu, Pearl
    ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS, 2022, 12 (04)
  • [2] Towards Automating the Synthesis of Chatbots for Conversational Model Query
    Perez-Soler, Sara
    Daniel, Gwendal
    Cabot, Jordi
    Guerra, Esther
    de Lara, Juan
    ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2020, EMMSAD 2020, 2020, 387 : 257 - 265
  • [3] A scaled-down neural conversational model for chatbots
    Mathur, Saurabh
    Lopez, Daphne
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 31 (10):
  • [4] A Meta-model for Documenting Conversational Requirements in Chatbots
    Goncalves, Larissa Pereira
    Canedo, Edna Dias
    Santos, Gleison
    QUALITY OF INFORMATION AND COMMUNICATIONS TECHNOLOGY, QUATIC 2024, 2024, 2178 : 68 - 82
  • [5] Key Qualities of Conversational Recommender Systems: From Users' Perspective
    Jin, Yucheng
    Chen, Li
    Cai, Wanling
    Pu, Pearl
    PROCEEDINGS OF THE 9TH INTERNATIONAL USER MODELING, ADAPTATION AND PERSONALIZATION HUMAN-AGENT INTERACTION, HAI 2021, 2021, : 93 - 102
  • [6] Chatbots as Conversational Healthcare Services
    Jovanovic, Mladan
    Baez, Marcos
    Casati, Fabio
    IEEE INTERNET COMPUTING, 2021, 25 (03) : 44 - 51
  • [7] Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots
    Seminck, Olga
    COMPUTATIONAL LINGUISTICS, 2023, 49 (01) : 257 - 259
  • [8] Conversational IA. Dialogue Systems, Conversational Agents, and Chatbots
    Lefevre, Fabrice
    TRAITEMENT AUTOMATIQUE DES LANGUES, 2021, 62 (01): : 68 - 71
  • [9] Chatbots and Conversational Agents: A Bibliometric Analysis
    Io, H. N.
    Lee, C. B.
    2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, : 215 - 219
  • [10] Automatic Generation of Chatbots for Conversational Web Browsing
    Chitto, Pietro
    Baez, Marcos
    Daniel, Florian
    Benatallah, Boualem
    CONCEPTUAL MODELING, ER 2020, 2020, 12400 : 239 - 249