Design Towards AI-Powered Workplace of the Future

被引:0
|
作者
Cao, Yujia [1 ]
Vasek, Jiri [1 ]
Dusik, Matej [1 ]
机构
[1] Konica Minolta Lab Europe, Brno, Czech Republic
关键词
Digital workplace; Artificial intelligence; User-centred design; User state inference; Multimodal interaction; CLASSIFICATION; RECOGNITION; PERFORMANCE; SPEECH;
D O I
10.1007/978-3-319-91125-0_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The advances of technology have profoundly improved the way people live and work. However, accompanying fast-paced technological development is information overload, which can minimise our capacity for cognitive processing and our ability to make quality decisions. We conducted extensive user research to identify needs and problems of contemporary office workers. Based on the insights of these real needs, the concept of a system called Cognitive Hub has been developed which supports an activity-based new metaphor for work, user state adaptation, smart enterprise search, smart transformation between physical and digital contents and multimodal interaction. Konica Minolta is thus developing Cognitive Hub as a platform that will serve as a nexus for users' information flows within the digital workplace. Cognitive Hub will also provide AI-based services to improve work experience and the well-being of office workers. A demonstrator was created to show the concept in action and illustrate its benefits and value for users.
引用
收藏
页码:3 / 20
页数:18
相关论文
共 50 条
  • [1] Towards an AI-Powered Future that Works for Vocational Workers
    Thakkar, Divy
    Kumar, Neha
    Sambasivan, Nithya
    PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [2] Towards AI-Powered Multiple Cloud Management
    Di Martino, Beniamino
    Esposito, Antonio
    Damiani, Ernesto
    IEEE INTERNET COMPUTING, 2019, 23 (01) : 64 - 71
  • [3] Towards AI-powered personalization in MOOC learning
    Yu, Han
    Miao, Chunyan
    Leung, Cyril
    White, Timothy John
    NPJ SCIENCE OF LEARNING, 2017, 2 (01)
  • [4] Towards AI-powered personalization in MOOC learning
    Han Yu
    Chunyan Miao
    Cyril Leung
    Timothy John White
    npj Science of Learning, 2
  • [5] Enhancing Manufacturing with AI-powered Process Design
    Genalti, Gianmarco
    Corbo, Gabriele
    Bianchi, Tommaso
    Missaglia, Marco
    Negri, Luca
    Sala, Andrea
    Magri, Luca
    Boracchi, Giacomo
    Miragliotta, Giovanni
    Gatti, Nicola
    PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, 2024, : 8665 - 8668
  • [6] On the Design of AI-powered Code Assistants for Notebooks
    McNutt, Andrew
    Wang, Chenglong
    DeLine, Rob
    Drucker, Steven M.
    PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023, 2023,
  • [7] Towards Effective AI-powered Agile Project Management
    Hoa Khanh Dam
    Truyen Tran
    Grundy, John
    Ghose, Aditya
    Kamei, Yasutaka
    2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: NEW IDEAS AND EMERGING RESULTS (ICSE-NIER 2019), 2019, : 41 - 44
  • [8] Towards AI-Powered Data-Driven Education
    Amer-Yahia, Sihem
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2022, 15 (12): : 3798 - 3806
  • [9] AI-Powered Laryngoscopy: Exploring the Future With Google Gemini
    Setzen, Sean A.
    Andreadis, Katerina
    Elemento, Olivier
    Rameau, Anais
    LARYNGOSCOPE, 2025,
  • [10] AI-powered decarbonisation
    Summerbell, Daniel
    ZKG International, 2024, 77 (07): : 110 - 112