As interactive technologies shape indoor environments, dominant design approaches prioritise optimisation, efficiency, and instrumental forms of socialisation. In contrast, architectural traditions of biophilic design show how interaction with nature supports emotions, attentional restoration, and physical health. Yet these insights are often overlooked in interactive indoor environments. In this paper, we advance biophilic design as an interaction design lens for technologically mediated indoor environments. Drawing on design sessions with architects, we examine how qualities of natural phenomena, beyond visual greenery, are translated into biophilic interaction indoors. We contribute a biophilic interaction design framework for indoor environments structured through: (1) seven biophilic dimensions that characterise the design space; (2) seven design values that articulate the experiential priorities shaping this space; and (3) six interaction forms that illustrate novel ways occupants interact with indoor environments. Our framework positions biophilic interaction as a multisensory process shaped through relations between people, technologies, and built environments.

Smart building design has predominantly focused on interactive experiences that enhance human comfort across measurable dimensions, namely thermal, respiratory, visual, and acoustic comfort. In contrast, architectural practices attend to inhabitation as subjective, situated, lived, and socially embedded experiences. This creates a gap between what can be sensed and regulated and the complexity of human experiences in buildings. We argue that an Affective Interaction (AfI) lens offers a way to bridge this gap, and deepen the role of interaction design research in architecture. We illustrate this through two exploratory studies using open-ended, in-situ methods that foreground lived experience and social interpretation. The AfI perspective revealed five Ways in which occupants interpret smart environments — from reading bodily cues and forecasting disruption to making sense of building automation. From these, we distil six Affective Practices and six Interaction Qualities that guide the future of interaction design research in buildings.

Advances in interaction design, architecture, and artificial intelligence offer new possibilities for built environments. Yet, most systems focus on improving physical parameters such as indoor air quality. While these enhance physical comfort, they often overlook an innate aspect of human experience - our connection with nature - fundamental to physical and mental health. In contrast, architecture offers a rich legacy of biophilic design that creates sensory-rich spaces evoking a connection to nature. What insights can biophilic architecture offer to guide interactive experiences in future buildings? Drawing on 13 expert interviews, we expose the gap between current biophilic practices in smart buildings and the multidimensional potential of nature-inspired design. We present eight themes reflecting expert imaginaries of biophilic futures and five design opportunities illustrating how emerging technologies can position biophilic interaction as multi-sensory, interpretive, and aligned with more-than-human, justice-oriented futures.

Built environments increasingly incorporate new forms of intelligence, creating opportunities for enhancing human interactive experiences with and within building spaces.This scoping review examines design interventions and discourses within the domain of "Smart Buildings".The goal is to identify and characterise the type of human experiences that research in this domain aims to address.Using a hybrid deductive-inductive coding approach, we analysed 192 papers related to human experiences and smart buildings from ACM Digital Library and Scopus published between 1996 and 2024.Our analysis revealed 11 distinct "targeted human experiences", 20 commonly used "design mechanisms" to achieve those design goals, as well as two typologies of "technological interventions".Our findings create a foundation for understanding building design research and the range of human experience they entail.

Buildings increasingly incorporate sensing and actuation techniques to automate the regulation of temperature, lighting, ventilation, and more. This trend seeks to minimize human intervention, justified by the promise of enhancing energy optimization. However, it has been widely acknowledged that loss of control over environmental conditions can lead to a diminished perception of comfort and compromised long-term user awareness and satisfaction. How can we envision building systems that can interact with building inhabitants and engage them at the “right” time and place? In this work, we address this challenge through three key contributions: 1) AirSpecs, a novel smart glasses-based system that enables holistic sensing of Indoor Environmental Quality (IEQ) and physiological data, 2) an objective method for assessing environmental awareness using a peripheral LED light and a proposed comfort awareness process, and 3) design implications for addressing the fluidity of comfort. Over five days, 30 participants across three continents used the AirSpecs device and its accompanying mobile application. Through a mixed-methods analysis of user interactions, post-experience surveys, interviews, and co-design sessions, we present findings and design scenarios that demonstrate the potential of our contributions to enhance occupant engagement and comfort in smart buildings in the future. • Novel eyewear and apps enable access-anywhere interaction and personal attachment. • Comfort awareness transits between subliminal, preconscious, and conscious states. • Focus, ambient aid, and reflection modes can be designed for three awareness states. • Users prefer to interact with a semi-automated building system.

The current mechanisms that drive the development of AI technologies are widely criticized for being tech-oriented and market-led instead of stemming from societal challenges. In Human-Centered AI discourses, and more broadly in Human-Computer Interaction research, initiatives have been proposed to engage experts from various domains of social science in determining how AI should reach our societies, predominantly through informing the adoption policies. Our contribution, however, seeks a more essential role for social sciences, namely to introduce discursive standpoints around what we need AI to be. With a focus on the domain of urbanism, the specific goal has been to elicit – from interviews with 16 urban experts – the imaginaries of how AI can and should impact future cities. Drawing on the social science literature, we present how the notion of “imaginary” has essentially framed this research and how it could reveal an alternative vision of non-human intelligent actors in future cities.

In 2020, we have witnessed global experimentation of remote co-working, co-learning, and co-habiting, leading to the re-emergence of a collective search for platforms and paradigms that can optimally coalesce the virtual and physical settings - what has been studied as "hybrid models". In this context, we examine the opportunities that the advances in Spatial Audio techniques can create to improve hybrid meetings. Concretely, we present a controlled study in which 84 participants used an online platform to follow six pre-recorded semi-scripted dialogues. The videos were around two minutes long and each of them simulated a piece of conversation in the physical meeting room among three actors who played the role of co-located attendees. The six videos represented six conditions: three auditive formats, (x2) once co-located attendees wore face masks, and once without masks. We compared the experiences of the participants (remote attendees) in these six conditions. Analyzing three types of data, namely, comprehension/memory test results, self-reported ratings, and eye-tracking, we have found reinforcing evidence that demonstrates the benefits of binaural audio in hybrid settings.

Repeated exposure to poor air quality in indoor environments such as office, home, and classroom can have substantial adverse effects on our health and productivity. The problem is especially recognized in closed indoor spaces shared by several people. We have studied the evolution of carbon dioxide level in office-meeting spaces, during 1007 meeting sessions. The collected data is employed to examine machine learning models aimed to indicate the CO2 evolution pattern and to forecast when fresh air should be supplied. In addition, to gain insight into the relations and interdependencies of social factors in meetings that may influence the users’ perception of an interactive solution, we have conducted a series of online surveys. Building on the results of the two studies, a solution is proposed that predicts the evolution of air quality in naturally-ventilated meeting rooms and engages the users in preventive actions when risk is forecast.

Since the introduction of the iconic Aware Home project [39] in 1999, the notion of “living laboratory” has been taken up and developed in HCI research. Many of the underpinning assumptions have evolved over the past two decades in various directions, while the same nomenclature is employed—inevitably in ambiguous ways. This contribution seeks to elicit an organized understanding of what we talk about and when we talk about living lab studies in HCI. This is accomplished through the methods of discourse analysis [66, 69], a combination of coding, hypothesis generation, and inferential statistics on the coded data. Analysing the discursive context within which the term living laboratory (or lab) appears in 152 SIGCHI and TOCHI articles, we extracted five divergent strands with overlapping but distinct conceptual frameworks, labeled as “Visited Places,” “Instrumented Places,” “Instrumented People,” “Lived-in Places,” and “Innovation Spaces.” In the first part of this article, we describe in detail the method and outcome of our analysis that draws out the five strands. Building on the results of the first part, in the second part of this article, each of the five types of living lab is discussed using some of the prototypical examples of that kind presented in the literature. Finally, we discuss the raison d’être and future position of the living lab as a method within HCI research and design and in relation to advances in sensing technologies and the emerging world of intelligent built environments (e.g., smart city and smart home).

Buildings and urban spaces increasingly incorporate artificial intelligence and new forms of interactivity, raising a wide span of research questions about the future of human experiences with, and within, built environments. We call this emerging area Human-Building Interaction (HBI) and introduce it as an interdisciplinary domain of research interfacing Human-Computer Interaction (HCI) with Architecture and Urban Design. HBI seeks to examine the involvement of HCI in studying and steering the evolution of built environments. Therefore, we need to ask foundational questions such as the following: what are the specific attributes of built environments that HCI researchers should take into account when shifting attention and scale from “artefacts” to “environments”? Are architecture and interaction design methods and processes compatible? Concretely, how can a team of interaction designers bring their tools to an architectural project, and collaborate with other stakeholders? Can and will architecture change the theory and practice of HCI? Furthermore, research in HBI should produce knowledge and practical guidelines by experimenting novel design instances that combine architecture and digital interaction. The primary aim of this article is to specify the mission, vision, and scope of research in HBI. As the introductory article to the TOCHI special issue, it also provides a summary of published manuscripts and describes their collective contribution to the development of this field.

This contribution exemplifies how the study of space perception and its impact on space-use behavior can inform sustainable architecture. We describe our attempt to integrate the methods of user research in an architectural project that was focused on optimization of space usage. In an office building, two large office rooms were refurbished to provide desk-sharing opportunities through hot-desking. We studied the space-use behavior of 33 office workers over eight weeks in those two rooms as well as their occasional presence in ten other areas (cafeteria, atrium, meeting rooms, etc.). Quantitative and qualitative analyses were performed to understand the nature and nuances of space occupancy at the scope of the building and within the refurbished offices. While at the scope of building the patterns of movements between rooms were found to be related to the professional profile of the users, at the scope of office the occupancy patterns were influenced by the spatial design of workspaces. More precisely, certain visual attributes of a workspace, namely Visual Exposure and Visual Openness, could determine whether or not it was regularly used. In this paper, we describe our findings in detail and discuss their implications for sustainable building design.

Understanding how people use different spaces in a building can inform design interventions aimed at improving the utility of that building, but can also inform the design of future buildings. We studied space use in an office building following a method we have designed to reveal the occupancy rate and navigational patterns. Our method involves two key components: 1) a pervasive sensing system that is scalable for large buildings, and high number of occupants, and 2) participatory data analysis engaging stakeholders including interior architects and building performance engineers, to refine the questions and define the needs for further analyses through multiple iterations.

In the context of MOOCs, "With-me-ness" refers to the extent to which the learner succeeds in following the teacher, specifically in terms of looking at the area in the video that the teacher is explaining. In our previous works, we employed eye-tracking methods to quantify learners' With-me-ness and showed that it is positively correlated with their learning gains. In this contribution, we describe a tool that is designed to improve With-me-ness by providing a visual-aid superimposed on the video. The position of the visual-aid is suggested by the teachers' dialogue and deixis, and it is displayed when the learner's With-me-ness is under the average value, which is computed from the other students' gaze behavior. We report on a user-study that examines the effectiveness of the proposed tool. The results show that it significantly improves the learning gain and it significantly increases the extent to which the students follow the teacher. Finally, we demonstrate how With-me-ness can create a complete theoretical framework for conducting gaze-based learning analytics in the context of MOOCs.

We present Flag, an awareness tool that gives information on the presence and status of students in a university leaning center with the aim of promoting informal collaboration among them.

The subtyping test consists of checking whether a type t is a descendant of a type r (Agrawal et al. 1989). We study how to perform such a test efficiently, assuming a dynamic hierarchy when new types are inserted at run-time. The goal is to achieve time and space efficiency, even as new types are inserted. We propose an extensible scheme, named ESE, that ensures (1) efficient insertion of new types, (2) efficient subtyping tests, and (3) small space usage. On the one hand ESE provides comparable test times to the most efficient existing static schemes (e.g.,Zibin et al. (2001)). On the other hand, ESE has comparable insertion times to the most efficient existing dynamic scheme (Baehni et al. 2007), while ESE outperforms it by a factor of 2-3 times in terms of space usage.