Robots are being designed to communicate with people in various public and domestic venues in a helpful, discreet way. Here, we use a speculative approach to shine light on a new concept of robot steganography (RS), that a robot could seek to help vulnerable populations by discreetly warning of potential threats. We first identify some potentially useful scenarios for RS related to safety and security -- concerns that are estimated to cost the world trillions of dollars each year -- with a focus on two kinds of robots, an autonomous vehicle (AV) and a socially assistive humanoid robot (SAR). Next, we propose that existing, powerful, computer-based steganography (CS) approaches can be adopted with little effort in new contexts (SARs), while also pointing out potential benefits of human-like steganography (HS): although less efficient and robust than CS, HS represents a currently-unused form of RS that could also be used to avoid requiring computers or detection by more technically advanced adversaries. This analysis also introduces some unique challenges of RS that arise from message generation, indirect perception, and effects of perspective. For this, we explore some related theoretical and practical concerns for selecting carrier signals and generating messages, also making available some code and a video demo. Finally, we report on checking the current feasibility of the RS concept via a simplified user study, confirming that messages can be hidden in a robot's behaviors. The immediate implication is that RS could help to improve people's lives and mitigate some costly problems -- suggesting the usefulness of further discussion, ideation, and consideration by designers.
翻译:机器人正在设计中,目的是以有益、谨慎的方式与各种公共和国内场所的人进行交流。在这里,我们采用投机性方法,在机器人感化学(RS)的新概念上亮亮光,让机器人通过隐蔽地警告潜在威胁来帮助弱势人群。我们首先为RS确定一些与安全和安保有关的可能有用的情景 -- -- 这些情景估计每年花费数万亿美元 -- -- 以两种机器人为重点,一种自主车辆(AV)和一个社会辅助人造机器人(SAR)。接着,我们提议,在新的环境下(SARs),可以很少努力地采用现有的、强大的、基于计算机的色素学(CS)方法,同时指出人类类色素(HS)的潜在好处:虽然与CS相比,HS代表着一种目前尚未使用的RS形式,这种形式可以用来避免计算机或由技术先进的对手检测。这种分析还提出了RS的一些独特的挑战,从信息的生成、间接认识和观点的影响中产生。对此,我们探索一些相关的理论性和实用性讨论和实用性的关切,以便选择一种简化的RS的用户概念,最后通过S的预估测,从而确定一个精确的预言,从而可以证明我们现有的代号,从而可以证明一个可以改进目前生命的概率的概率的概率,从而确定一个精确的预言。