How watching Pinocchio movies changes our subjective experience of extrapersonal space

The way we experience the space around us is highly subjective. It has been shown that motion potentialities that are intrinsic to our body influence our space categorization. Furthermore, we have recently demonstrated that in the extrapersonal space, our categorization also depends on the movement potential of other agents. When we have to categorize the space as "Near" or "Far" between a reference and a target, the space categorized as "Near" is wider if the reference corresponds to a biological agent that has the potential to walk, instead of a biological and non-biological agent that cannot walk. But what exactly drives this "Near space extension"? In the present paper, we tested whether abstract beliefs about the biological nature of an agent determine how we categorize the space between the agent and an object. Participants were asked to first read a Pinocchio story and watch a correspondent video in which Pinocchio acts like a real human, in order to become more transported into the initial story. Then they had to categorize the location ("Near" or "Far") of a target object located at progressively increasing or decreasing distances from a non-biological agent (i.e., a wooden dummy) and from a biological agent (i.e., a human-like avatar). The results indicate that being transported into the Pinocchio story, induces an equal "Near" space threshold with both the avatar and the wooden dummy as reference frames

Avatars and computer-mediated communication: a review of the definitions, uses, and effects of digital representations

Avatars are growing in popularity and present in many interfaces used for computer-mediated communication (CMC) including social media, e-commerce, and education. Communication researchers have been investigating avatars for over twenty years, and an examination of this literature reveals similarities but also notable discrepancies in conceptual definitions. The goal of this review is to provide a general overview of current debates, methodological approaches, and trends in findings. Our review synthesizes previous research in four areas. First, we examine how scholars have conceptualized the term “avatar,” identify similarities and differences across these definitions, and recommend that scholars use the term consistently. Next, we review theoretical perspectives relevant to avatar perception (e.g., the computers as social actors framework). Then, we examine avatar characteristics that communicators use to discern the humanity and social potential of an avatar (anthropomorphism, form realism, behavioral realism, and perceived agency) and discuss implications for attributions and communication outcomes. We also review findings on the social categorization of avatars, such as when people apply categories like sex, gender, race, and ethnicity to their evaluations of digital representations. Finally, we examine research on avatar selection and design relevant to communication outcomes. Here, we review both motivations in CMC contexts (such as self-presentation and identity expression) and potential effects (e.g., persuasion). We conclude with a discussion of future directions for avatar research and propose that communication researchers consider avatars not just as a topic of study, but also as a tool for testing theories and understanding critical elements of human communication. Avatar mediated environments provide researchers with a number of advantageous technological affordances that can enable manipulations that may be difficult or inadvisable to execute in natural environments. We conclude by discussing the use of avatar research to extend communication theory and our understanding of communication processes

Dance training shapes action perception and its neural implementation within the young and older adult brain

How we perceive others in action is shaped by our prior experience. Many factors influence brain responses when observing others in action, including training in a particular physical skill, such as sport or dance, and also general development and aging processes. Here, we investigate how learning a complex motor skill shapes neural and behavioural responses among a dance-naïve sample of 20 young and 19 older adults. Across four days, participants physically rehearsed one set of dance sequences, observed a second set, and a third set remained untrained. Functional MRI was obtained prior to and immediately following training. Participants’ behavioural performance on motor and visual tasks improved across the training period, with younger adults showing steeper performance gains than older adults. At the brain level, both age groups demonstrated decreased sensorimotor cortical engagement after physical training, with younger adults showing more pronounced decreases in inferior parietal activity compared to older adults. Neural decoding results demonstrate that among both age groups, visual and motor regions contain experience-specific representations of new motor learning. By combining behavioural measures of performance with univariate and multivariate measures of brain activity, we can start to build a more complete picture of age-related changes in experience-dependent plasticity

The effects of graphical fidelity on player experience

Graphical assets in video games have become increasingly complex over the years, but little is known about their effect on player experience (PX). In this paper, we present results of a controlled study with 48 participants comparing how abstract and stylized graphics influence player experience in casual games. Our results show that high-fidelity graphics result in a more positive impression of the game. However, we also show that many effects are only present in the game with a more challenging mechanic. This shows that casual games can be compelling and enjoyable to play despite simplistic graphics, suggesting that small game developers and researchers need not focus on elaborate visuals to engage players. Copyright © 2013 ACM

Interface and Interaction Design Patterns for Intercultural Collaboration

This paper reports about on-going research into interaction design patterns in intercultural remote collaboration. It proposes that interaction and interface design patterns help to communicate and generate new design knowledge in supporting intercultural teamwork. It describes methods used to observe and develop design patterns in collocated, remote and blended collaborative learning and design contexts, and reports preliminary findings of interface and interaction design patterns, which support intercultural remote collaboration

Is it the real deal? Perception of virtual characters versus humans: an affective cognitive neuroscience perspective

Recent developments in neuroimaging research support the increased use of naturalistic stimulus material such as film, animations, or androids. These stimuli allow for a better understanding of how the brain processes information in complex situations while maintaining experimental control. While avatars and androids are well suited to study human cognition, they should not be equated to human stimuli. For example, the Uncanny Valley hypothesis theorizes that artificial agents with high human-likeness may evoke feelings of eeriness in the human observer. Here we review if, when, and how the perception of human-like avatars and androids differs from the perception of humans and consider how this influences their utilization as stimulus material in social and affective neuroimaging studies. First, we discuss how the appearance of virtual characters affects perception. When stimuli are morphed across categories from non-human to human, the most ambiguous stimuli, rather than the most human-like stimuli, show prolonged classification times and increased eeriness. Human-like to human stimuli show a positive linear relationship with familiarity. Secondly, we show that expressions of emotions in human-like avatars can be perceived similarly to human emotions, with corresponding behavioral, physiological and neuronal activations, with exception of physical dissimilarities. Subsequently, we consider if and when one perceives differences in action representation by artificial agents versus humans. Motor resonance and predictive coding models may account for empirical findings, such as an interference effect on action for observed human-like, natural moving characters. However, the expansion of these models to explain more complex behavior, such as empathy, still needs to be investigated in more detail. Finally, we broaden our outlook to social interaction, where virtual reality stimuli can be utilized to imitate complex social situations