González Adriana Lorena, Geiskkovitch Denise Y, Young James E
Department of Computer Science, University of Manitoba, Winnipeg, Canada.
Department of Computing and Software, McMaster University, Hamilton, Canada.
I Com (Berl). 2023 Mar 10;22(1):19-32. doi: 10.1515/icom-2022-0047. eCollection 2023 Apr.
We present a conversational social robot behaviour design that draws from psychotherapy research to support individual self-reflection and wellbeing, without requiring the robot to parse or otherwise understand what the user is saying. This simplicity focused approached enabled us to intersect the well-being aims with privacy and simplicity, while achieving high robustness. We implemented a fully autonomous and standalone (not network enabled) prototype and conducted a proof-of-concept study as an initial step to test the feasibility of our behaviour design: whether people would successfully engage with our simple behaviour and could interact meaningfully with it. We deployed our robot unsupervised for 48 h into the homes of 14 participants. All participants engaged with self-reflection with the robot without reporting any interaction challenges or technical issues. This supports the feasibility of our specific behaviour design, as well as the general viability of our non-parsing simplicity approach to conversation, which we believe to be an exciting avenue for further exploration. Our results thus pave the way for further exploring how conversational behaviour designs like ours may support people living with loneliness.
我们提出了一种对话式社交机器人行为设计,该设计借鉴了心理治疗研究成果,以支持个人的自我反思和幸福感,而无需机器人解析或理解用户所说的内容。这种注重简单性的方法使我们能够将幸福目标与隐私和简单性相结合,同时实现高度的稳健性。我们实现了一个完全自主且独立(未联网)的原型,并进行了一项概念验证研究,作为测试我们行为设计可行性的第一步:人们是否会成功参与我们简单的行为并与之进行有意义的互动。我们在14名参与者的家中无人监督地部署了我们的机器人48小时。所有参与者都与机器人进行了自我反思,且未报告任何互动挑战或技术问题。这支持了我们特定行为设计的可行性,以及我们对话式非解析简单性方法的总体可行性,我们认为这是一个值得进一步探索的令人兴奋的途径。因此,我们的研究结果为进一步探索像我们这样的对话行为设计如何支持孤独生活的人们铺平了道路。