Perspectives on Social Robots. From the Historic Background to an Experts' View on Future Developments

被引:15
作者
Korn, Oliver [1 ]
Bieber, Gerald [2 ]
Fron, Christian [3 ]
机构
[1] Offenburg Univ, Badstr 24, D-77652 Offenburg, Germany
[2] Fraunhofer IGD, Joachim Jungius Str 11, D-18059 Rostock, Germany
[3] Heidelberg Univ, Marstallhof 4, D-69117 Heidelberg, Germany
来源
11TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2018) | 2018年
关键词
Social Robots; Robotics; Assistive Robotics; Companion Robot; Artificial Intelligence; Technology Acceptance; TECHNOLOGY; ACCEPTANCE;
D O I
10.1145/3197768.3197774
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Social robots are robots interacting with humans not only in collaborative settings, but also in personal settings like domestic services and healthcare. Some social robots simulate feelings (companions) while others just help lifting (assistants). However, they often incite both fascination and fear: what abilities should social robots have and what should remain exclusive to humans? We provide a historical background on the development of robots and related machines (1), discuss examples of social robots (2) and present an expert study on their desired future abilities and applications (3) conducted within the Forum of the European Active and Assisted Living Programme (AAL). The findings indicate that most technologies required for the social robots' emotion sensing are considered ready. For care robots, the experts approve health-related tasks like drawing blood while they prefer humans to do nursing tasks like washing. On a larger societal scale, the acceptance of social robots increases highly significantly with familiarity, making health robots and even military drones more acceptable than sex robots or child companion robots for childless couples. Accordingly, the acceptance of social robots seems to decrease with the level of face-to-face emotions involved.
引用
收藏
页码:186 / 193
页数:8
相关论文
共 24 条
  • [1] [Anonymous], 2002, The Delphi Method
  • [2] [Anonymous], 2004, ICJ, DOI DOI 10.1023/B:AUR0.0000016865.35796.E9
  • [3] Broekens Joost, 2009, Gerontechnology, V8, P94, DOI 10.4017/gt.2009.08.02.002.00
  • [4] Davies Nicola, 2016, Engineering & Technology, V11, P58, DOI 10.1049/et.2016.0907
  • [5] USER ACCEPTANCE OF COMPUTER-TECHNOLOGY - A COMPARISON OF 2 THEORETICAL-MODELS
    DAVIS, FD
    BAGOZZI, RP
    WARSHAW, PR
    [J]. MANAGEMENT SCIENCE, 1989, 35 (08) : 982 - 1003
  • [6] DeLimaSalge C. A., 2017, COMMUN ACM, V60, P29
  • [7] Attitudes of Factory Workers Towards Industrial and Collaborative Robots
    Elprama, Shirley A.
    Jewell, Charlotte I. C.
    Jacobs, An
    El Makrini, Ilias
    Vanderborght, Bram
    [J]. COMPANION OF THE 2017 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'17), 2017, : 113 - 114
  • [8] Could Artificial Intelligence Create an Unemployment Crisis?
    Ford, Martin
    [J]. COMMUNICATIONS OF THE ACM, 2013, 56 (07) : 37 - 39
  • [9] Technology Acceptance and User Experience: A Review of the Experiential Component in HCI
    Hornbaek, Kasper
    Hertzum, Morten
    [J]. ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 2017, 24 (05)
  • [10] Hose M., 1997, 2 EXMACHINE