A multimedia cognitive-based information retrieval system

Davčev, Danco; Cakmakov, Dusan; Cabukovski, Vanco

doi:10.1145/327164.327330

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…On the contrary, another school of researchers are developing theories to model human like cognition and related aspects in a computer to make the machines think and act like humans, thus with the expectation that these models can predict and decide how it should communicate information with humans in a human-like manner improving the relationship. These attempts are varying from artificial intelligence (AI) based techniques [9] [32] to cognitive modelling techniques like ACT-R models [3]. Although, the cognitive science day-today reveal many other functions and relationships between human cognition, emotion and physiology, it is in doubt that the true human behaviour can ever be modelled in a computer when the biological and sub-symbolic nature of humans is considered [42].…”

Section: Improving Human Involvement In a Multimedia Interactionsmentioning

confidence: 99%

Determining the Psychological Involvement in Multimedia Interactions

Ekanayake¹,

Karunarathna²,

Hewagamage

2009

Int J on Adv. in ICT for Emerging Countries

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Human computer interaction (HCI) is currently aimed at the design of interactive computer applications for human use while preventing user frustration. When considering the nature of modern computer applications, such as e-learning systems and computer games, it appears that human involvement cannot be improved only by using traditional approaches, such as nice user interfaces. For a pleasant human involvement, these computer applications require that the computers should have the ability to naturally adapt to their users and this requires the computers to have the ability to recognize user emotions. For recognizing emotions currently most preferred research approach is aimed at facial expression based emotion recognition, which seems to have many limitations. Therefore, in this paper, we propose a method to determine the psychological involvement of a human during a multimedia interaction session using the eye movement activity and arousal evaluation. In our approach we use a low cost hardware/software combination, which determines eye movement activity based on electrooculogram (EOG) signals and the level of arousal using galvanic skin response (GSR) signals. The results obtained using six individuals show that the nature of involvement can be recognized using these affect signals as optimal levels and distracted conditions.

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Section: Improving Human Involvement In a Multimedia Interactionsmentioning

confidence: 99%