Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world.

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Bahar Irfan, Nathalia Céspedes, Jonathan Casas, Emmanuel Senft, Luisa F Gutiérrez, Mónica Rincon-Roncancio, Carlos A Cifuentes, Tony Belpaeme, Marcela Múnera
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引用次数: 5

Abstract

Lack of motivation and low adherence rates are critical concerns of long-term rehabilitation programmes, such as cardiac rehabilitation. Socially assistive robots are known to be effective in improving motivation in therapy. However, over longer durations, generic and repetitive behaviours by the robot often result in a decrease in motivation and engagement, which can be overcome by personalising the interaction, such as recognising users, addressing them with their name, and providing feedback on their progress and adherence. We carried out a real-world clinical study, lasting 2.5 years with 43 patients to evaluate the effects of using a robot and personalisation in cardiac rehabilitation. Due to dropouts and other factors, 26 patients completed the programme. The results derived from these patients suggest that robots facilitate motivation and adherence, enable prompt detection of critical conditions by clinicians, and improve the cardiovascular functioning of the patients. Personalisation is further beneficial when providing high-intensity training, eliciting and maintaining engagement (as measured through gaze and social interactions) and motivation throughout the programme. However, relying on full autonomy for personalisation in a real-world environment resulted in sensor and user recognition failures, which caused negative user perceptions and lowered the perceived utility of the robot. Nonetheless, personalisation was positively perceived, suggesting that potential drawbacks need to be weighed against various benefits of the personalised interaction.

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心脏康复的个性化社会辅助机器人:对现实世界中长期互动的批判性反思。
缺乏动力和低依从率是长期康复计划(如心脏康复)的关键问题。众所周知,社交辅助机器人在提高治疗动机方面是有效的。然而,在较长时间内,机器人的通用和重复行为往往会导致动机和参与度的降低,这可以通过个性化交互来克服,例如识别用户,称呼他们的名字,并提供他们的进度和坚持的反馈。我们进行了一项真实世界的临床研究,历时2.5年,共有43名患者,以评估使用机器人和个性化心脏康复的效果。由于退学和其他因素,26名患者完成了该计划。来自这些患者的结果表明,机器人促进了动机和依从性,使临床医生能够及时发现危急情况,并改善了患者的心血管功能。在提供高强度培训、激发和保持整个课程的参与度(通过凝视和社交互动来衡量)和积极性方面,个性化是进一步有益的。然而,在现实环境中依赖完全自主的个性化会导致传感器和用户识别失败,从而导致负面的用户感知并降低机器人的感知效用。尽管如此,个性化被积极地感知,这表明潜在的缺点需要与个性化互动的各种好处进行权衡。
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来源期刊
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction 工程技术-计算机:控制论
CiteScore
8.90
自引率
8.30%
发文量
35
审稿时长
>12 weeks
期刊介绍: User Modeling and User-Adapted Interaction provides an interdisciplinary forum for the dissemination of novel and significant original research results about interactive computer systems that can adapt themselves to their users, and on the design, use, and evaluation of user models for adaptation. The journal publishes high-quality original papers from, e.g., the following areas: acquisition and formal representation of user models; conceptual models and user stereotypes for personalization; student modeling and adaptive learning; models of groups of users; user model driven personalised information discovery and retrieval; recommender systems; adaptive user interfaces and agents; adaptation for accessibility and inclusion; generic user modeling systems and tools; interoperability of user models; personalization in areas such as; affective computing; ubiquitous and mobile computing; language based interactions; multi-modal interactions; virtual and augmented reality; social media and the Web; human-robot interaction; behaviour change interventions; personalized applications in specific domains; privacy, accountability, and security of information for personalization; responsible adaptation: fairness, accountability, explainability, transparency and control; methods for the design and evaluation of user models and adaptive systems
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