The Virtual Mirror

Gloor, Peter A.; Oster, Daniel; Raz, Ornit; Pentland, Alex; Schoder, Detlef

doi:10.2753/imo0020-8825400204

Cited by 10 publications

(1 citation statement)

References 34 publications

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“…We used the phrase "right now" to capture each aspect in the moment (so as to permit later prediction of each aspect based on biometric data). The wording of the questions is based on a previous survey of individuals in an organizational context [84]. The use of awakeness (rather than sleepiness) in Question 1 is inspired by previous work [85] and to some extent also captures the "arousal" aspect of the affective space [86].…”

Section: Surveysmentioning

confidence: 99%

Observing and predicting knowledge worker stress, focus and awakeness in the wild

Soto

Satterfield

Fritz

et al. 2021

International Journal of Human-Computer Studies

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Section: Surveysmentioning

confidence: 99%

Observing and predicting knowledge worker stress, focus and awakeness in the wild

Soto

Satterfield

Fritz

et al. 2021

International Journal of Human-Computer Studies

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Crowd Mining Applied to Preservation of Digital Cultural Heritage

Tonkin

Tourte

Gill

2018

Museum Experience Design

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Accessible systems, in digital heritage as elsewhere, should 'speak the user's language'. However, over long time periods, this may change significantly, and the system must still keep track of it. Conceptualising and tracking change in a population may be achieved using a functional and computable model based on representative datasets. Such a model must encompass relevant characteristics in that population and support pre-defined functionality, such as the ability to track current trends in language use. Individual published viewpoints on any given platform may be observed in aggregate by means of a large-scale text mining approach. We have made use of social media platforms such as Twitter and Tumblr to collect statistical information about anonymous users' perspectives on cultural heritage items and institutions. Through longitudinal studies, it is possible to identify indicators pointing to an evolution of discourse surrounding cultural heritage items, and provide an estimate of trends relating to represented items and creators. We describe a functional approach to building useful models of shift in contemporary language use, using data collection across social networks. This approach is informed by existing theoretical approaches to modelling of semantic change. As a case study, we present a means by which such ongoing user modelling processes drawing on contemporary resources can support 'just-in-time' pre-emptive review of material to be presented to the public. We also show that this approach can feed into enhancement of the data retrieval processes.

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Creating Collaborative Innovation Networks (COINs) to Reduce Infant Mortality

Gloor¹,

Grippa

2018

Studies on Entrepreneurship, Structural Change and Industrial Dynamics

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The Virtual Mirror

Cited by 10 publications

References 34 publications

Observing and predicting knowledge worker stress, focus and awakeness in the wild

Observing and predicting knowledge worker stress, focus and awakeness in the wild

Crowd Mining Applied to Preservation of Digital Cultural Heritage

Creating Collaborative Innovation Networks (COINs) to Reduce Infant Mortality

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