The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context

MIS Quarterly ◽  
2013 ◽  
Vol 37 (1) ◽  
pp. 247-274 ◽  
Author(s):  
Ping Zhang ◽  
Keyword(s):  
Affective Response ◽  
Theoretical Framework ◽  
Response Model

scholarly journals Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model

2018 ◽  
Vol 59 (1) ◽  
pp. 69-89 ◽  
Author(s):  
Myung Ja Kim ◽  
Choong-Ki Lee ◽  
Timothy Jung
Keyword(s):  
Virtual Reality ◽  
Consumer Behavior ◽  
Affective Response ◽  
Theoretical Framework ◽  
Emerging Technology ◽  
Affective Responses ◽  
Response Model ◽  
Cognitive Response

Although virtual reality (VR) is an emerging technology in tourism, little research has been conducted on what factors make consumers visit destinations presented by VR. To address this gap in the literature, this study developed a theoretical framework including authentic experience, cognitive and affective responses, attachment, and visit intention with VR tourism using a stimulus-organism-response (SOR) theory. The results revealed significant impacts of authentic experience on cognitive and affective responses, indicating that authentic experience is an important factor in VR tourism. The study identified cognitive and affective responses as significant mediators in predicting attachment and visit intention. The results demonstrated that the intention to visit places shown in VR tourism was influenced by attachment to VR. Cognitive response had a stronger influence than affective response on the intention to visit a destination in VR. This study sheds light on why potential tourists visit destinations shown in VR.

The Unrelated Question Randomized Response Model: Theoretical Framework

1969 ◽  
Vol 64 (326) ◽  
pp. 520-539 ◽  
Author(s):  
Bernard G. Greenberg ◽  
Abdel-Latif A. Abul-Ela ◽  
Walt R. Simmons ◽  
Daniel G. Horvitz
Keyword(s):  
Theoretical Framework ◽  
Response Model ◽  
Randomized Response ◽  
Unrelated Question ◽  
Randomized Response Model

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

The Affective Response of a Patient with Chronic Ulcerative Colitis to Cortisone

1951 ◽  
Vol 17 (1) ◽  
pp. 20-24 ◽  
Author(s):  
T.E. McKell ◽  
S.W. Tuthill ◽  
A.J. Sullivan
Keyword(s):  
Ulcerative Colitis ◽  
Chronic Ulcerative Colitis ◽  
Affective Response

Adaptive and Maladaptive Neural Plasticity Due to Facial Nerve Palsy

2016 ◽  
Vol 224 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Carsten M. Klingner ◽  
Stefan Brodoehl ◽  
Gerd F. Volk ◽  
Orlando Guntinas-Lichius ◽  
Otto W. Witte
Keyword(s):  
Facial Nerve ◽  
Neural Plasticity ◽  
Cortical Plasticity ◽  
Brain Plasticity ◽  
Motor Nerve ◽  
Predictive Coding ◽  
Theoretical Framework ◽  
Cortical Reorganization ◽  
Nerve Lesion ◽  
Peripheral Facial Palsy

Abstract. This paper reviews adaptive and maladaptive mechanisms of cortical plasticity in patients suffering from peripheral facial palsy. As the peripheral facial nerve is a pure motor nerve, a facial nerve lesion is causing an exclusive deefferentation without deafferentation. We focus on the question of how the investigation of pure deefferentation adds to our current understanding of brain plasticity which derives from studies on learning and studies on brain lesions. The importance of efference and afference as drivers for cortical plasticity is discussed in addition to the crossmodal influence of different competitive sensory inputs. We make the attempt to integrate the experimental findings of the effects of pure deefferentation within the theoretical framework of cortical responses and predictive coding. We show that the available experimental data can be explained within this theoretical framework which also clarifies the necessity for maladaptive plasticity. Finally, we propose rehabilitation approaches for directing cortical reorganization in the appropriate direction and highlight some challenging questions that are yet unexplored in the field.

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