Research on Proactive Interaction Design for Smart Home System

被引：0
|
作者：
Ge S. [1 ]
Lu Y. [1 ]
Zhang Y. [2 ]
Zhou L. [1 ]
Wang X. [1 ]
机构：
[1] College of Art and Design, Beijing University of Technology, Beijing
[2] Ding (Beijing) Intelligent Technology Co. Ltd, Beijing
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2023年 / 35卷 / 02期
关键词：
design strategy; proactive interaction; smart home; user experience;
D O I：
10.3724/SP.J.1089.2023.20049
中图分类号：
学科分类号：
摘要：
With the application of internet of things and artificial intelligence in the field of smart home, smart home has the ability of active interaction. Aiming at the problem of balancing information transmission and user experience in active interaction of smart home, a design strategy for active interaction of smart home system is proposed. Firstly, through literature research and summary, this paper summarizes the development status of the active interaction of the smart home system, and summarizes it into three characteristics: the interaction strategy gradually adopts the adaptive scene mode, the interaction channel gradually shifts to multi-modality, and the degree of interaction gradually presents low disturbance, which provides theoretical support for the strategy design. Secondly, sort out the scene elements of smart home and the level of disturbance of different interaction modes, and propose the corresponding active interaction strategy of smart home under the tasks of different scenes. Finally, the “Wizard of Oz” method is used to conduct experiments in the experimental scene built by ourselves. Using the SUS scale and the USE questionnaire as evaluation indicators, the usability and satisfaction of the proposed strategy are verified. In this paper, the corresponding relationship between different scenarios of smart home and the degree of active interaction disturbance is constructed to provide reference for follow-up research. © 2023 Institute of Computing Technology. All rights reserved.
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页码：230 / 237
页数：7
相关论文
共 23 条
  • [1] de Visser E J, Pak R, Shaw T H., From ‘automation’ to ‘autonomy’: the importance of trust repair in human-machine interaction, Ergonomics, 61, 10, pp. 1409-1427, (2018)
  • [2] Shively J., Remotely piloted aircraft systems panel (RPASP) working paper: autonomy and automation, (2017)
  • [3] Rafferty L, Iqbal F, Aleem S, Et al., Intelligent multi-agent collaboration model for smart home IoT security, Proceedings of the IEEE International Congress on Internet of Things, pp. 65-71, (2018)
  • [4] Qin Jingyan, Chen Zhibo, Zhang Wenhao, Et al., Active interaction design of family intelligent products, Packaging Engineering, 40, 20, pp. 67-73, (2019)
  • [5] Ha N, Kim J S, Lee K Y., Technologies for personalized ambient intelligence based on 4 situational context awareness, Proceedings of the International Conference on Information and Communication Technology Convergence, pp. 489-493, (2019)
  • [6] Yachir A, Amirat Y, Chibani A, Et al., Event-aware framework for dynamic services discovery and selection in the context of ambient intelligence and internet of things, IEEE Transactions on Automation Science and Engineering, 10, 1, pp. 85-102, (2016)
  • [7] Pu Guiyang, Sun Hongchun, Wang Yalai, Et al., Design of six-domain scene model system for smart home, Technology of IoT & AI, 3, 6, pp. 31-34, (2020)
  • [8] Son J Y, Park J H, Moon K D, Et al., Resource-aware smart home management system by constructing resource relation graph, IEEE Transactions on Consumer Electronics, 57, 3, pp. 1112-1119, (2011)
  • [9] Li M B, Wu Y., Intelligent control system of smart home for context awareness, International Journal of Distributed Sensor Networks, 18, 3, (2022)
  • [10] Non-Alisavath K, Kanthavong S, Luangxaysana K, Et al., Context-awareness application to control multiple sensors for monitoring smart environment, Proceedings of the 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 920-923, (2017)
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