A research agenda for physiological computing

Allanson, J.; Fairclough, Stephen H.

doi:10.1016/j.intcom.2004.08.001

Cited by 122 publications

(79 citation statements)

References 73 publications

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“…Due to advances in sensor technology, user physiological responses can be measured in real time, requiring no conscious input from the user. Physiological responses provide an effective means of measuring changes in a users' affective state [3,51], which is a generic term that refers to the user's underlying emotion, attitude, or mood at a given point in time [53]. Abstracting the affective content of video has received increased attention in recent years and several internal video content analysis techniques have been developed that attempt to automatically abstract affect-based semantics embedded within a video [13,31,32].…”

Section: Introductionmentioning

confidence: 99%

Analysing user physiological responses for affective video summarisation

Money

Agius

2009

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Video summarisation techniques aim to abstract the most significant content from a video stream. This is typically achieved by processing low-level image, audio and text features which are still quite disparate from the high-level semantics that end users identify with (the 'semantic gap'). Physiological responses are potentially rich indicators of memorable or emotionally engaging video content for a given user. Consequently, we investigate whether they may serve as a suitable basis for a video summarisation technique by analysing a range of user physiological response measures, specifically electro-dermal response (EDR), respiration amplitude (RA), respiration rate (RR), blood volume pulse (BVP) and heart rate (HR), in response to a range of video content in a variety of genres including horror, comedy, drama, sci-fi and action. We present an analysis framework for processing the user responses to specific sub-segments within a video stream based on percent rank value normalisation. The application of the analysis framework reveals that users respond significantly to the most entertaining video sub-segments in a range of content domains. Specifically, horror content seems to elicit significant EDR, RA, RR and BVP responses, and comedy content elicits comparatively lower levels of EDR, but does seem to elicit significant RA, RR, BVP and HR responses. Drama content seems to elicit less significant physiological responses in general, and both sci-fi and action content seem to elicit significant EDR responses. We discuss the implications this may have for future affective video summarisation approaches.

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Section: Introductionmentioning

confidence: 99%

Analysing user physiological responses for affective video summarisation

Money

Agius

2009

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“…A recent review defined human-machine symbiosis in terms of a computer that was capable of both monitoring and affecting the cognitions, emotions and behaviours of the user [11]. This description is identical to the closed-loop logic of physiological computing systems [12,13] where signals from the brain and body of the user are converted to control inputs in order to facilitate intelligent adaptation at the interface. Physiological computing systems are constructed around a biocybernetic loop [14] where data from brain activity and the autonomic nervous system are collected, analysed and classified for input into an adaptive controller, which triggers actions at the interface.…”

Section: A Closed-loop Perspective On Human-machine Symbiosismentioning

confidence: 99%

A Closed-Loop Perspective on Symbiotic Human-Computer Interaction

Fairclough

2015

Symbiotic Interaction

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This paper is concerned with how people interact with an emergent form of technology that is capable of both monitoring and affecting the psychology and behaviour of the user. The current relationship between people and computer is characterised as asymmetrical and static. The closed-loop dynamic of physiological computing systems is used as an example of a symmetrical and symbiotic HCI, where the central nervous system of the user and an adaptive software controller are engaged in constant dialogue. This emergent technology offers several benefits such as: intelligent adaptation, a capacity to learn and an ability to personalise software to the individual. This paper argues that such benefits can only be obtained at the cost of a strategic reconfiguration of the relationship between people and technology -specifically users must cede a degree of control over their interaction with technology in order to create an interaction that is active, dynamic and capable of responding in a stochastic fashion. The capacity of the system to successfully translate human goals and values into adaptive responses that are appropriate and effective at the interface represents a particular challenge. It is concluded that technology can develop lifelike qualities (e.g. complexity, sentience, freedom) through sustained and symbiotic interaction with human beings. However, there are a number of risks associated with this strategy as interaction with this category of technology can subvert skills, self-knowledge and the autonomy of human user.

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“…The difficulty of reading texts is measured based on a series of mathematical formulae. Results of these calculations are obtained based on two features: semantic difficulty based on words of the same family with respect to frequency of use in the text, and syntactic complexity based on sentence length [2].…”

Section: Background Of Text Simplificationmentioning

confidence: 99%