Interactionist AI and the promise of ubicomp, or, how to put your box in the world without putting the world in your box

Leahu, Lucian; Sengers, Phoebe; Mateas, Michael

doi:10.1145/1409635.1409654

Cited by 34 publications

(21 citation statements)

References 34 publications

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“…While this selection does not cover all ubicomp design challenges (e.g., scalability, graceful degradation, evaluations, see: Abowd and Mynatt, 2000;Leahu et al, 2008), we focus in particular on the ones with the highest relevance to proxemic interactions.…”

Section: Ubicomp Interaction Design Challengesmentioning

confidence: 99%

Proxemic interactions in ubiquitous computing ecologies

Marquardt

2011

CHI '11 Extended Abstracts on Human Factors in Computing Systems

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In this dissertation, I explore how the knowledge of people's and devices' spatial relationships -called proxemics -can be applied to the design of ubiquitous computing (ubicomp) interactions. Edward Hall's proxemics theory describes how people use spatial relationships -such as varying their distance or orientation -to mediate their interactions with other people around them. But in spite of the opportunities presented by people's natural understanding of proxemics, only a relatively small number of ubicomp installations incorporate proxemic information within interaction design.Therefore, my goal in this dissertation research is to inform the design of future proxemic-aware devices that -similar to people's natural expectations and use of proxemics -allow increasing connectivity and interaction possibilities when in proximity to people, other devices, or objects. Towards this goal, I explore how the finegrained knowledge of proxemic relationships between the entities in small-space ubicomp ecologies can be exploited in interaction design. In particular, I provide the following three major contributions: First, I operationalize proxemics for ubicomp interaction with the Proxemic Interactions framework that serves to guide the design of ubicomp applications. The framework describes how designers can consider fine-grained proxemic information to mediate people's interactions with digital devices, such as large digital surfaces or portable personal devices. I identify five key dimensions of proxemic measures (distance, orientation, movement, identity, and location) to consider when designing proxemicaware ubicomp systems. I also identify the gradual engagement design pattern as one particular strategy that allows designing system interactions that move from awareness, to reveal, to interaction.-iiiSecond, I design the Proximity Toolkit allowing ubicomp developers to rapidly prototype proxemic-aware ubicomp systems. The toolkit simplifies the development process by supplying higher-level information about proxemic relationships between the entities in ubicomp ecologies through an event-driven API and visual inspection tools.Third, I explore the design of three case studies of proxemic-aware systems that react continuously to people's and devices' proxemic relationships. The case studies explore the application of proxemics in small-space ubicomp ecologies by considering first person-to-device, then device-to-device, and finally person-to-person & device-to-device proxemic relationships. Together, they validate the toolkit's versatility and the application of the Proxemic Interactions framework.-iv -

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Section: Ubicomp Interaction Design Challengesmentioning

confidence: 99%

Proxemic interactions in ubiquitous computing ecologies

Marquardt

2011

CHI '11 Extended Abstracts on Human Factors in Computing Systems

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“…One is a recent paper from Leahu et al [20] presented at the annual conference on Ubiquitous Computing. In brief, the paper's authors argue that by borrowing on some of the lessons learnt in AI, ubicomp might refine its outmoded position on machine representations (e.g., those incorporated into smart home systems).…”

Section: Related Work In Hcimentioning

confidence: 99%

Machine intelligence

Taylor

2009

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Under certain conditions, we appear willing to see and interact with computing machines as though they exhibited intelligence, at least an intelligence of sorts. Using examples from AI and robotics research, as well as a selection of relevant art installations and anthropological fieldwork, this paper reflects on some of our interactions with the kinds of machines we seem ready to treat as intelligent. Broadly, it is suggested that ordinary, everyday ideas of intelligence are not fixed, but rather actively seen and enacted in the world. As such, intelligence does not just belong to the province of the human mind, but can emerge in quite different, unexpected forms in things. It is proposed this opens up a new set of possibilities for design and HCI; examining the ways intelligence is seen and enacted gives rise to a very different way of thinking about the intersection between human and machine, and thus promotes some radically new types of interactions with computing machines.

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“…Even though discovery, selection and dynamic interaction are all key goals for most platforms, there is too much hidden behaviour and too many assumptions about the environment that must be in place to bootstrap and deploy the system [2]. A third problem results from a vision of smart spaces as caring environments that sense and intelligently react to people, which raises very complex requirements associated with the need to model, detect or infer peoples feelings, intents or situations of life [8]. A final reason is the strong coupling between physical space and functionality, but we argue that Human activity is too dynamic, subtle and mobile to be captured in the infrastructure of any specific physical space.…”

Section: Related Workmentioning

confidence: 99%

An Application Framework for a Situation-Aware System Support for Smart Spaces

Santos

Rodrigues

2009

Lecture Notes in Computer Science

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Abstract. Despite a considerable research effort towards system support for smart spaces, in recent years we have been witnessing a growing perception about a persistent gap between the promises of the area and its real achievements. We are investigating a situation-aware system support for smart spaces that builds on a new set of assumptions and design principles, based on user-controlled associations between global services and local resources. The realisation of this concept raises important challenges across a model for global autonomous applications that enables them to integrate the functionality and resources of multiple situations. This research work aims at investigating such a model and evaluating the concept of situation-aware system support for smart spaces.

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Interactionist AI and the promise of ubicomp, or, how to put your box in the world without putting the world in your box

Cited by 34 publications

References 34 publications

Proxemic interactions in ubiquitous computing ecologies

Proxemic interactions in ubiquitous computing ecologies

Machine intelligence

An Application Framework for a Situation-Aware System Support for Smart Spaces

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