Evaluation Study of Intelligent Vehicle Virtual Personal Assistant

被引:0
|
作者
Pu, Jianqiong [1 ]
Li, Liping [1 ]
Huang, Qihao [1 ]
Jiang, Wen [1 ]
Luo, Xiaojun [1 ]
Wang, Jifang [1 ]
机构
[1] Apollo Intelligent Connect Beijing Technol Co Ltd, Beijing 100000, Peoples R China
关键词
VPA; Intelligent Vehicle; Evaluation Model; User Experience; Factor Analysis;
D O I
10.1007/978-3-031-35678-0_11
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the outburst of the intelligent vehicle market, vehicle Virtual Personal Assistant (VPA), as an important interactive interface of drivers and smart vehicles, will be more and more common in our daily life. Since VPA is the carrier of Voice User Interaction, previous VPA research topics mainly focus on the field of voice interaction and personification, such as personification, emotionalization, gender cognition preference, and role cognition preference. However, there is a growing demand to comprehensively evaluate vehicle VPA experience, concentrating on the vehicle application field. In this study, we constructed a vehicle VPA experience evaluation model and verified its validity and reliability. There are 3 phases included in this study: (a) First of all, through interviews with 20 real users, we extracted users' perception elements of vehicle VPA, summarized the factors affecting the experience of vehicle VPA, and converted them into the initial dimensions of the evaluation model, included Sensory Comfort, Depth Assistance, Natural Interaction, Pleasant Emotions 4 modules. (b)Secondly, we invited 10 vehicle VPA designers to discuss and adjust the model based on professionals suggestions. (c) Thirdly, to verify the adjusted model, 364 vehicle VPA users (including NIO(ET/ES/EC), XPENG(P5/P7), Li One, Lynk&Co 09) were invited to participate in an online questionnaire. Reliability analysis, validity analysis, and factor analysis are carried out to confirm the quality of the questionnaire and to complete the structural adjustment of the model. The final output of the vehicle VPA evaluation model included 5 first-level indicators, 7 s-level indicators, and 45 third-level indicators. First-level indicators include Sensory, Resource, Interaction, Emotion, Design modules. Among third-level indicators, high influence (weight) ones are Voice of VPA coverage span, Comprehension Accuracy, Recognition Accuracy, Sense of Trust, and Satisfaction of Resource Content. This vehicle VPA experience evaluation model study is grounded on real driver interviews and questionnaires, reflecting vehicle VPA daily users' demands, and comprehensively evaluating Sensory, Resource, Interaction, Emotion, Design, and 5 modules. It can be scientific guidelines for vehicle VPA design and product diagnosis.
引用
收藏
页码:186 / 199
页数:14
相关论文
共 50 条
  • [31] Understanding user behavior of virtual personal assistant devices
    Heetae Yang
    Hwansoo Lee
    Information Systems and e-Business Management, 2019, 17 : 65 - 87
  • [32] Gender and accent stereotypes in communication with an intelligent virtual assistant
    Piercy, Cameron W.
    Montgomery-Vestecka, Gretchen
    Lee, Sun Kyong
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2025, 195
  • [33] Understanding user behavior of virtual personal assistant devices
    Yang, Heetae
    Lee, Hwansoo
    INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 2019, 17 (01) : 65 - 87
  • [34] Development of Intelligent Virtual Assistant for Software Testing Team
    Itkin, Iosif
    Novikov, Andrey
    Yavorskiy, Rostislav
    2019 COMPANION OF THE 19TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS-C 2019), 2019, : 126 - 129
  • [35] THE SALUTOGENIC EFFICACY OF THE VOICE-ACTIVATED INTELLIGENT PERSONAL ASSISTANT INTERVENTION: A CASE STUDY
    Lau, Terence
    Leung, Angela
    INNOVATION IN AGING, 2024, 8 : 1070 - 1071
  • [36] Investigating EFL learners' humorous interactions with an intelligent personal assistant
    Gonulal, Talip
    INTERACTIVE LEARNING ENVIRONMENTS, 2023, 31 (07) : 4521 - 4534
  • [37] MemoPA: Intelligent personal assistant agents with a case memory mechanism
    Chen, Ke-Jia
    Jean-Paul, Barthes
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2007, 4682 : 1357 - 1367
  • [38] An intelligent assistant for context-aware adaptation of personal communications
    El Saghir, Bassam
    Crespi, Noel
    2007 IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-9, 2007, : 2537 - 2542
  • [39] Towards a Versatile Intelligent Conversational Agent as Personal Assistant for Migrants
    Wanner, Leo
    Klusch, Matthias
    Mavropoulos, Athanasios
    Jamin, Emmanuel
    Marin Puchades, Victor
    Casamayor, Gerard
    Cernocky, Jan
    Davey, Steffi
    Dominguez, Monica
    Egorova, Ekaterina
    Grivolla, Jens
    Rojas, Gloria Elena Jaramillo
    Karakostas, Anastasios
    Ntioudis, Dimos
    Pecina, Pavel
    Sobko, Oleksandr
    Vrochidis, Stefanos
    Wertmann, Lena
    ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SOCIAL GOOD: THE PAAMS COLLECTION, PAAMS 2021, 2021, 12946 : 316 - 327
  • [40] Machine Vision to Empower an Intelligent Personal Assistant for Assembly Tasks
    Talacio, Matheus
    Funchal, Gustavo
    Melo, Victoria
    Piardi, Luis
    Vallim, Marcos
    Leitao, Paulo
    OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2021, 2021, 1488 : 447 - 462