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Arvidson, P. Sven

doi:10.1023/a:1024895827774

Cited by 22 publications

(2 citation statements)

References 47 publications

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“…(2) The distribution of visual attention is related to the peculiarity of website and users' Comparing prior similar studies about attention, there are some changes. Arvidson (2003) used psychological and neuropsychological literature on attention to discuss the nature of subjectivity in attention and attention research, and whether attention might be the same as industry transforming attention into cognitive output, associates closely with attention (Franck, 2002). But now attention researches collect data not only from science literatures but also from social media data.…”

Section: Discussionmentioning

confidence: 99%

Users’ attention behaviors and features in internet forum

Sha

Lü

2015

JIEM

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Abstract:Purpose: Attention resource is scarce. Organizing community activities in online forums faces the challenge of attracting users' limited attention. Understanding how users of online forums allocate, maintain, and change their attentional focus and what features of online forms influence their attention behaviors is critical for effective information design. This paper seeks understanding of users' attention behaviors and features when they participate in discussions in online forums.Design/methodology/approach: A conceptual model was established to explore the indicator system of attention's measurement. The related attention data were collected from Alexa Access Statistics Tool and Katie community. Then this paper computed the correlation coefficient and regression relationship between the indicators of visual attention and cognitive attention. Thereafter this paper analyzed and discussed users' attention behaviors and features in Internet forum. Findings:Relevant bivariate correlation analysis and regression analysis discovers that Internet forum's attention is mainly as visual attention in users' early involvement. Attention resources can be transformed. In a deep participation, users' cognitive attention is more significant.Meanwhile cognitive attention behaviors' further development will lead to the phenomenon that cognitive attention input is prone to increase faster in the early duration. That means indepth discussion and interaction are more likely to appear in the early stages of participation.-1380-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1486Research limitations/implications: There are some limitations about this study. The indicators are not comprehensive enough because factors affecting the distribution of attention resources in Internet forums are complex. We didn't distinguish different types of Internet forums when we collected the relevant data. Future research will focus more on how to obtain comprehensive attention data.Originality/value: T his paper shows a new perspective that we can find users' attention behaviors and features using the attention data from its mapping object, which can help operators of portals and Internet communities to attract users' limited attention.

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Section: Discussionmentioning

confidence: 99%

Users’ attention behaviors and features in internet forum

Sha

Lü

2015

JIEM

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“…12. To this end, he even coined a new lexicon in order to translate the terminology of cognitive psychology into phenomenological terms (Arvidson 2003). More precisely, he provided fine accounts of several key cognitive science concepts (e.g., "selective attention," "priming," "target," "attentional blink," "automaticity," "precuing," "attentional costs," "distractors," "early-" and "late selection," and so on) in a first-person perspective, so that the contributions of phenomenology could be borrowed in an easier way in empirical-experimental contexts.…”

Section: Notesmentioning

confidence: 99%

Marginal Themes

Vidali

2023

Techné: Research in Philosophy and Technology

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Among the research that nowadays deals with the impact of digital technologies on attention, little is concerned with problematizing the theoretical premises about the nature of this cognitive faculty. Hence, even highly credited studies on digital distraction draw their conclusions from underexamined models of attention, despite them not being the only ones available. In our article we intend to focus on this problem, starting by discussing two case studies in the field of cognitive psychology and trying to show their theoretical shortcomings when compared with an alternative model of attention. We will thus explore the account that a contemporary phenomenologist, Paul Sven Arvidson, has provided of attention and distraction. Finally, we will try to question the conclusions of the empirical studies by reframing them within Arvidson’s model, suggesting the importance of sharpening the definition of attention and distraction as preliminary work for investigating how the digital relates to them.

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Virtual proximity and facial expressions of computer agents regulate human emotions and attention

Vanhala

Surakka²,

Siirtola³

et al. 2010

Computer Animation & Virtual

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Emotion-and attention-related subjective and physiological responses to virtual proximity and facial expressions of embodied computer agents (ECA) were studied. Thirty participants viewed female and male characters with a neutral, unpleasant, or pleasant facial expression. Agents' size was used to simulate three levels of proximity. Participants' electrical facial muscle and heart activity were registered, and subjective ratings of emotional and attentional experiences collected. Unpleasant and large (i.e., closer) agents were more alerting (i.e., unpleasant, arousing, and dominating) and attracted more stimulus-driven attention than neutral, pleasant, and smaller (i.e., further away) agents. Pleasant agents attracted more voluntary attention than neutral and unpleasant agents. Heart rate (HR) responded to agent proximity, while the valence of the agent affected electrical facial muscle activity. Thus, the imitation of human social emotional cues in embodied computer agents (ECAs) could be used to regulate human-computer interaction.

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Untitled

Cited by 22 publications

References 47 publications

Users’ attention behaviors and features in internet forum

Users’ attention behaviors and features in internet forum

Marginal Themes

Virtual proximity and facial expressions of computer agents regulate human emotions and attention

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