多伦多大学应用科学与工程学院研究人员的一项新研究探讨了机器人如何说服和建立人类的信任。这项研究可以指导下一代社会辅助机器人的人工智能（AI）的发展，以帮助医疗保健和其他领域。
“My research aims to uncover behaviours and approaches that cause robots to be more persuasive to people,” says Shane Saunderson, a Ph.D. candidate in the department of mechanical and industrial engineering. “That can manifest as body language, or verbal strategies to approach people.”
Under the supervision of Associate Professor Goldie Nejat, the Canada Research Chair in Robots for Society, Saunderson conducted an exploratory study of persuasion strategies to observe which methods would most influence a human’s decision.
The top two strategies to emerge were an “emotional” approach and a “logical” one, says Saunderson. He and his team recently published their findings inIEEE Robotics and Automation Letters并将在5月的IEEE国际机器人技术国际会议上介绍该论文。
他们的实验设计包括两个来自Nejat的实验室的竞争性商业机器人Leia和Luke，以及一罐果冻豆。Two hundred human participants were asked to write down their best estimate of how many jelly beans were in the jar, taking into consideration the two differing suggestions provided by the robots, which attempted to influence the participants’ guess using one of 10 randomly selected persuasion strategies.
这些策略包括关键:“你会be an idiot if you didn’t take my guess of [this many] jelly beans,” to the friendly: “Please, will you use my guess of [this many] jelly beans? Thank you.”
尽管桑德森认为逻辑策略将赢得胜利 - “我的计算机视觉系统可以检测[这么多的]果冻豆子”，并在罐子里重复指向动作，表明它在计算 - 它被情感策略所忽略了。这种方法涉及机器人表达的：“如果您使用我对[这么多的果冻豆子的猜测，这会让我感到高兴''，它的手握在胸前。
“With the emotional strategy, I started noticing participants reacting with ‘oohs’ and ‘awws,’ and ‘Isn’t it so cute!'” says Saunderson. “You see people increase their level of social connection with the robot. It indicates that we imbue robots with social agency when they interact with us using human-like social characteristics.”
桑德森承认，许多人可能会看到具有AI支持机器人的概念，具有影响人们不祥的能力。但是，“例如，我们的实验室专注于许多可以做的好事 - 例如，老年人护理中的社会支持。”
Nejat and her team have been at the forefront of researching and developing socially assistive robots for long-term care facilities and private homes, with the aim of providing cognitively stimulating interventions and improving the quality of life of seniors by assisting with everyday activities.
“I’ve been lucky to have spent a lot of time with doctors and nurses through my past experiences, and what I notice is that they’re not simply doing transactional, health-care tasks – they’re often acting as social companions or authority figures,” explains Saunderson.
“当医生建议更多地运动或开出新待遇时，护士通常必须是加强这一点并确保依从性的人。他们必须确保患者遵循。”他补充说。
According to demographic projections, the proportion of Canadian seniors is expected to increase rapidly until 2031, representing upwards of 25 per cent of the country’s population by 2036. Socially assistive robots could help an overburdened health-care system, especially if they are effective in encouraging seniors or patients to take their medicine or to be more physically active.
“A robot without persuasive abilities means that the robot would say, ‘Take your pills,’ and a patient might say ‘No,’ and that’s the end of the conversation. Then you’d need to call in a nurse and then there’s really no reason to have a robot there in the first place,” says Saunderson.
未来的研究将进一步探讨其在不同参与者人口统计学中的有说服力潜力的前两个策略。
“It’s an exciting time for robotics and AI,” says Saunderson. “We have the potential to create systems that can socially support people in more natural and intuitive ways, encouraging them to live healthier and better lives.”
提交以下：AI • machine learning，，，，产品设计，，，，机器人技术•机器人抓手•最终效应器
