用于''本地性''的图灵测试：概念化、定义与识别人类与机器的本地性
摘要
随着数字平台日益中介化人类与地方相关的互动，确保真实的本地参与对于维护基于位置的服务、社区驱动平台和市政参与系统的信任和可信度至关重要。然而，本地性是由知识、参与和社区认可塑造的一种社会和关系性身份。drawing on the German philosopher Heidegger's concept of dwelling -- which extends beyond physical presence to encompass meaningful connection to place -- we investigate how people conceptualize and evaluate localness in both human and artificial agents. Using a chat-based interaction paradigm inspired by Turing's Imitation Game and Von Ahn's Games With A Purpose, we engaged 230 participants in conversations designed to examine the cues people rely on to assess local presence. Our findings reveal a multi-dimensional framework of localness, highlighting differences in how locals and nonlocals emphasize various aspects of local identity. We show that people are significantly more accurate in recognizing locals than nonlocals, suggesting that localness is an affirmative status requiring active demonstration rather than merely the absence of nonlocal traits. Additionally, we identify conditions under which artificial agents are perceived as local and analyze participants' sensemaking strategies in evaluating localness. Through predictive modeling, we determine key factors that drive accurate localness judgments. By bridging theoretical perspectives on human-place relationships with practical challenges in digital environments, our work informs the design of location-based services that foster meaningful local engagement. Our findings contribute to a broader understanding of localness as a dynamic and relational construct, reinforcing the importance of dwelling as a process of belonging, recognition, and engagement with place.
引用
@article{arxiv.2505.07282,
title = {A Turing Test for ''Localness'': Conceptualizing, Defining, and Recognizing Localness in People and Machines},
author = {Zihan Gao and Justin Cranshaw and Jacob Thebault-Spieker},
journal= {arXiv preprint arXiv:2505.07282},
year = {2025}
}