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• W4386003915 abstract "Little is known on whether and how different visualization techniques used to develop Immersive Virtual Nature (IVN) scenarios may influence the effectiveness of this technology as well as the subjective experience of the users fostering feelings nature connectedness. Sixty healthy adults were randomly allocated to walk for 10 min on a treadmill whilst being exposed to one of two IVNs (a 360° video or a matching computer-generated scenario) or facing a blank wall (control). The state version of the Connectedness to Nature Scale (CNS) was administered before and after each experimental condition. Moreover, in-depth follow-up interviews were conducted among five participants to investigate their experiences and perceptions during the IVN experience. Both IVN scenarios elicited greater increased in CNS compared to the control condition, with no statistically significant differences between the two scenarios. From the qualitative analysis, four overarching themes were identified (IVN as present and distinct experience, Impact of technical equipment, IVN landscape qualities, and Affective and physical responses), depicting the facilitators and barriers influencing the IVN experience. With equal levels of immersion and interaction, 360° videos and computer-generated IVNs can be equally effective in eliciting increased feelings of nature connectedness. The IVN experience emerges as a distinct experience, not merely a (poor) simulation of actual nature-interactions. However, characteristics of the technology or the virtual environment can influence the overall experience. These findings provide novel insights and further understanding of IVN as a tool in the promotion of nature connectedness." @default.
• W4386003915 created "2023-08-20" @default.
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• W4386003915 date "2023-09-01" @default.
• W4386003915 modified "2023-10-12" @default.
• W4386003915 title "The impact of visualization techniques of immersive virtual scenarios in promoting nature connectedness: A blind randomized controlled trial with mixed-methods approach" @default.
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• W4386003915 doi "https://doi.org/10.1016/j.jenvp.2023.102102" @default.
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