孤独
亲密度
心理学
友谊
社会心理学
人际关系
高等教育
感知
人际交往
答辩人
社会孤立
社会关系
分离(微生物学)
美学
现象
偏爱
计算机辅助通信
自反性
创造力
定性研究
好奇心
社会学
羞耻
社会关系
应对(心理学)
感觉
二元体
理想(伦理)
自我概念
代理(哲学)
社会变革
孤独
作者
Zhongjing Jiang,Jean Wainwright,Noradila Nordin,John Zhang
出处
期刊:CRC Press eBooks
[CRC Press]
日期:2026-08-31
卷期号:: 271-288
标识
DOI:10.1201/9781042013098-22
摘要
Young adults, a demographic increasingly vulnerable to social isolation—a phenomenon exacerbated by the COVID-19 pandemic—are experiencing profound shifts in interpersonal interactions. However, the rise of digital communication has redefined perceptions of closeness and isolation, fostering a paradoxical state in which individuals feel fleeting connectivity amidst persistent loneliness. To address this social issue, this study introduces a hybrid artistic practice within a university classroom setting, exploring the potential of robotic companionship in providing solace for lonely adults while contributing to future conceptions of companionship in the digital era. This research examines how students and educators at an art university, with varying levels of loneliness, conceptualise and design their ideal companion robots through a structured workshop incorporating artificial intelligence (AI)-generated imagery via text prompts and traditional hand-drawn sketches. The work aims to identify patterns in the aesthetic, functional, and emotional attributes of imagined companion robots, examining whether higher levels of loneliness correlate with a preference for more human-like, expressive, and interactive features. Findings reveal a strong correlation between loneliness levels and design choices. Participants with higher loneliness scores tend to favour anthropomorphic, emotionally expressive robots, often integrating intricate artistic styles such as Art Deco and Japanese manga. By bridging speculative imagination with technological creativity, this research contributes to ongoing discussions on human-robot companionship, offering insights into its potential role in addressing social isolation and redefining future human-artificial interactions.
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