Spatial Presence and Emotions during Video Game Playing: Does It Matter with Whom You Play?

By Niklas Ravaja, Timo Saari, Marko Turpeinen, Jari Laarni, Mikko Salminen, Matias Kivikangas. Presence - Teleoperators and Virtual Environments, 2006

377 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e05a7b66ebad5a35593439fd277d20793a6f5e66

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Citations in the corpus

How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence (2016, methodology): “…presence score was reported (comprised of subscales for engagement, involvement, affect, or other related but distinct concepts), then we were forced to rely on that measure; c) if subscales were reported, we carefully reviewed the exact questions and decided whether or not to include them.”
Emerging in a Digital World (2013, background): “For example, Ravaja et al. (2006) found that playing video games with a friend, as opposed to a stranger, increased arousal and positive affect toward that friend.”
Characterising and measuring user experiences in digital games (2007, positive): “Indicators of player arousal based on real-time psychophysiology [12] or behavioural indicators [14] could potentially provide the game engine with the information it would need to adjust dynamically to changes in player frustration.”
Narrative Transportation and Paratextual Features of Social Media in Viral Advertising (2018, background): “Therefore, consumers are more likely to share enjoyment (Ravaja et al. 2006; Schulze, Scholer, and Skiera 2014)—elicited by the higher level of narrative transportation—with their friends than with the general public.”
Challenges in Sentiment Analysis (2017, background): “2011), and improving automatic dialogue systems (Velásquez 1997; Ravaja et al. 2006).”
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON (2013, methodology): “Macquarie Library: Sydney, Australia.”
#Emotional Tweets (2012, background): “…identifying emotions expressed in text has a number of applications, including customer relation management (Bougie et al., 2003), determining popularity of products and governments (Mohammad and Yang, 2011), and improving human-computer interaction (Vel´asquez, 1997; Ravaja et al., 2006).”
Avatars Versus Agents: A Meta-Analysis Quantifying the Effect of Agency on Social Influence (2015, background): “Instead, humans behave “mindlessly” and interact with computers in a “fundamentally social and natural” way (Reeves & Nass, 1996, p. 5).”
Using Hashtags to Capture Fine Emotion Categories from Tweets (2015, background): “This is the first lexicon with real-valued word–emotion association scores.”