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Persuasive robotic assistant for health self-management of older adults: Design and evaluation of social behaviors

机译:具有说服力的机器人助手,用于老年人的健康自我管理:社交行为的设计和评估

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摘要

Daily health self-management, such as the harmonization of food, exercise and medication, is a major problem for a large group of older adults with obesity or diabetics. Computer-based personal assistance can help to behave healthy by persuading and guiding older adults. For effective persuasion, the assistant should express social behaviors (e.g., turn taking, emotional expressions) to be trustworthy and show empathy. From the motivational interviewing method and synthetic assistants' literature, we derived a set of social behaviors, and implemented a subset in a physical character, a virtual character and a text interface. The first behavior type concerns conversing with high-level dialogue (semantics, intentions), which could be implemented in all 3 assistants. The other behavior types could only be implemented in the characters: showing natural cues (e.g., gaze, posture), expressing emotions (e.g., compassionate face), and accommodating social conversations (e.g., turn taking). In an experiment, 24 older adults (45-65) interacted with the text interface and one of the characters, conform a "one-week diabetics scenario". They experienced the virtual and physical character as more empathic and trustworthy than the text-based assistant, and expressed more conversational behavior with the characters. However, it seems that the preference of interacting with the character or the text interface was influenced by the conscientiousness of the participant; more conscientious people liked the text interface better. Older adults responded more negative to the characters that lacked the social behaviors than to the text interface. Some differences between the virtual and physical character probably occurred due to the specific constraints of the physical character.
机译:日常健康自我管理,例如食物,运动和药物的协调统一,是一大批患有肥胖症或糖尿病的老年人的主要问题。基于计算机的个人帮助可以通过说服和指导老年人来帮助他们保持健康。为了获得有效的说服力,助手应表现出值得信赖的社交行为(例如转弯,情感表达)并表现出同理心。从动机面试方法和综合助理的文献中,我们得出了一组社会行为,并实现了一个物理角色,虚拟角色和文本界面的子集。第一种行为类型涉及与高层对话(语义,意图)的对话,可以在所有三个助手中实现。其他行为类型只能在角色中实现:显示自然线索(例如凝视,姿势),表达情绪(例如富有同情心的脸)以及进行社交对话(例如转弯)。在一项实验中,有24位年龄较大的成年人(45-65岁)与文本界面进行了互动,其中一个字符符合“一周糖尿病的情况”。他们体验虚拟和物理角色比基于文本的助手更富有同情心和可信赖性,并且表现出与角色的更多对话行为。但是,似乎与角色或文本界面进行交互的偏好受到参与者的尽责程度的影响;更尽责的人更喜欢文本界面。老年人对缺少社交行为的人物的反应比对文本界面的反应更消极。虚拟角色和物理角色之间的某些差异可能是由于物理角色的特定限制所致。

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