Lived experience in human-building interaction (HBI): an initial framework

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Eléni Economidou, Alina Itzlinger, Christopher Frauenberger
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引用次数: 0

Abstract

The emerging field of human-building interaction (HBI) has its roots in the historical trends of the development of architecture and human-computer interaction (HCI). Advancements in building information modelling (BIM), sensing, and actuation technologies as well as the commodification and miniaturisation of microprocessors over the past two decades are transforming what once were quixotic visions of a cybernetic architecture into reality. This new reality which integrates computation with architecture opens up different kinds of engagements in the ways we design, use, and inhabit our built environments. A question that follows this new reality is: how can we conceptualise human experience in such environments? Thus far, the lived human experience of such interactions has been an overlooked aspect in HBI-related research. In this article, we provide an initial experience framework for HBI underpinned by existing literature from the HCI and architecture domains on the subjective, lived-in experience of architecture and findings derived from a case study of a field-deployed HBI interface. The research objective of our framework is to outline aspects of HBI lived experiences that can be used as guiding lenses for HBI designers and practitioners who wish to design for and assess such experiences.
人类建筑互动(HBI)中的生活经验:初步框架
新兴的人机交互(HBI)领域源于建筑和人机交互(HCI)发展的历史趋势。过去二十年来,建筑信息模型(BIM)、传感和执行技术的进步,以及微处理器的商品化和微型化,正在把过去对控制论建筑的幻想变成现实。这种将计算与建筑融为一体的新现实为我们设计、使用和居住建筑环境的方式开辟了不同的途径。随之而来的一个问题是:我们如何才能将人类在这种环境中的体验概念化?迄今为止,人类在此类互动中的生活体验一直是人机交互相关研究中被忽视的一个方面。在本文中,我们将根据人机交互和建筑领域现有的关于建筑的主观、生活体验的文献,以及实地部署的人机交互界面的案例研究结果,为人机交互提供一个初步的体验框架。我们的框架的研究目标是概述人机交互生活体验的各个方面,这些方面可以作为人机交互设计师和从业人员设计和评估此类体验的指导视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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