Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

Ren, Yongli; Tomko, Martin; Salim, Flora D.; Chan, Jeffrey; Sanderson, Mark

doi:10.1140/epjds/s13688-017-0128-2

Cited by 26 publications

(14 citation statements)

References 35 publications

(49 reference statements)

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“…Society 5.0 as the Ultimate Cyber-Physical Society Both Industry 4.0 and Society 5.0 are premised on the creation of increasingly sophisticated "cyber-physical systems", which are characterized by their reliance on embedded, decentralized, real-time computation occurring within a network of heterogeneous physical objects (Gill 2008;Wang et al 2008). When human beings (or social robots or AIs) are functionally integrated into a cyber-physical system (CPS) at the social, cognitive, and physical levels, it becomes a "cyber-physical-social system" (CPSS) (Liu et al 2011) whose members may engage in "cyber-physical-social behaviours" within cyber-physical spaces (Ren et al 2018). Through their interactions with one another, the members of a CPSS may give rise to "cyber-physical social networks" whose topologies follow the members' social connections (Ganti et al 2008).…”

Section: Society 50 S Dependence On Transformative Future Technologiesmentioning

confidence: 99%

Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies

Gladden

2019

Social Sciences

152

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The Government of Japan’s “Society 5.0” initiative aims to create a cyber-physical society in which (among other things) citizens’ daily lives will be enhanced through increasingly close collaboration with artificially intelligent systems. However, an apparent paradox lies at the heart of efforts to create a more “human-centered” society in which human beings will live alongside a proliferating array of increasingly autonomous social robots and embodied AI. This study seeks to investigate the presumed human-centeredness of Society 5.0 by comparing its makeup with that of earlier societies. By distinguishing “technological” and “non-technological” processes of posthumanization and applying a phenomenological anthropological model, this study demonstrates: (1) how the diverse types of human and non-human members expected to participate in Society 5.0 differ qualitatively from one another; (2) how the dynamics that will shape the membership of Society 5.0 can be conceptualized; and (3) how the anticipated membership of Society 5.0 differs from that of Societies 1.0 through 4.0. This study describes six categories of prospective human and non-human members of Society 5.0 and shows that all six have analogues in earlier societies, which suggests that social scientific analysis of past societies may shed unexpected light on the nature of Society 5.0.

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Section: Society 50 S Dependence On Transformative Future Technologiesmentioning

confidence: 99%

Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies

Gladden

2019

Social Sciences

152

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“…al. also found strong correlations between behaviours and user demography [188]. Further, it is also shown that the online and movement patterns can be used to predict the visiting intent of building occupants [189].…”

Section: Occupant Behaviour Modelingmentioning

confidence: 76%

Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey

Salim

Dong

Ouf

et al. 2020

Building and Environment

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The proliferation of urban sensing, IoT, and big data in cities provides unprecedented opportunities for a deeper understanding of occupant behaviour and energy usage patterns at the urban scale. This enables data-driven building and energy models to capture the urban dynamics, specifically the intrinsic occupant and energy use behavioural profiles that are not usually considered in traditional models. Although there are related reviews, none investigated urban data for use in modelling occupant behaviour and energy use at multiple scales, from buildings to neighbourhood to city. This survey paper aims to fill this gap by providing a critical summary and analysis of the works reported in the literature. We present the different sources of occupant-centric urban data that are useful for data-driven modelling and categorise the range of applications and recent data-driven modelling techniques for urban behaviour and energy modelling, along with the traditional stochastic and simulation-based approaches. Finally, we present a set of recommendations for future directions in data-driven modelling of occupant behaviour and energy in buildings at the urban scale.

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“…Further, these features could also be used further for profiling users [27], useful for providing a personalised model to predict the visiting intent and next location indoors.…”

Section: Discussionmentioning

confidence: 99%

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

Kaur

Salim

Ren

et al. 2020

ACM Trans. Sen. Netw.

Self Cite

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This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators. Our analysis shows that many users exhibit a high correlation between their cyber activities and their physical context. To find this correlation, we propose a mechanism to semantically label a physical space with rich categorical information from DBPedia concepts and compute a contextual similarity that represents a user's activities with the mall context. We demonstrate the application of cyber-physical contextual similarity in two situations: user visit intent classification and future location prediction. The experimental results demonstrate that exploitation of contextual similarity significantly improves the accuracy of such applications.

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Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

Cited by 26 publications

References 35 publications

Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies

Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies

Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

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