2023
DOI: 10.1037/aca0000548
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Virtual art visits: Examining the effects of slow looking on well-being in an online environment.

Abstract: Throughout history, visual art has helped people feel connected to each other, experience a deep sense of belonging to their communities, and enhance their own well-being. In recent years, many museums have increased their digital presence to engage with the public in new ways, including curating unique virtual experiences. The present research examines the well-being effects of a virtual art gallery visit and the role of immersion in facilitating these well-being effects. Participants were 155 adults from the… Show more

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Cited by 11 publications
(9 citation statements)
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“…These results lend support to the idea that highly open people are more likely to experience immersion in mediated environments-environments where content or environmental stimuli are created and then experienced, such as in museums, art galleries, or institutions or when people read books, watch movies, or play videogames (Weibel, Wissmath, & Mast, 2010). Immersion in virtual gallery environments like OGAR, in turn, predicts a range of greater well-being measures following virtual art gallery visits (Cotter et al, 2023a).…”
Section: Personality As a Predictor Of Visit Behaviorsupporting
confidence: 54%
See 1 more Smart Citation
“…These results lend support to the idea that highly open people are more likely to experience immersion in mediated environments-environments where content or environmental stimuli are created and then experienced, such as in museums, art galleries, or institutions or when people read books, watch movies, or play videogames (Weibel, Wissmath, & Mast, 2010). Immersion in virtual gallery environments like OGAR, in turn, predicts a range of greater well-being measures following virtual art gallery visits (Cotter et al, 2023a).…”
Section: Personality As a Predictor Of Visit Behaviorsupporting
confidence: 54%
“…One class of these features is participatory and allows visitors to engage with the digital content in manner that is not possible within the confines of physical museum spaces. For example, virtual galleries may implement commenting forums (Grincheva, 2018), supplemental viewing features (Cotter, et al, , 2023a, or online games and contests (Rijksmuseum Masterpieces Up Close, n.d.) that promote engagement with the virtual environment. The other class of features is evaluative and can be used to aid researchers and applied personnel in investigating visitor interactions with digital spaces.…”
Section: Virtual Visits To Museumsmentioning
confidence: 99%
“…Csikszentmihalyi's concept of flow, 'the ideal form of immersion' in Cotter et al [8], refers to a participants' intensely focused engagement, fully immersed in an activity, often losing track of time and self-awareness. 'When playing, children pay attention because they want to, because they find the information interesting and important in its own right' [9].…”
Section: Interactivitymentioning
confidence: 99%
“…Newman (2014) asked participants to visit a museum thrice, including a group lunch, a tour, and a discussion. 24% of articles were in online settings, where art viewing typically took place at home with either a tablet sent home with participants (Murphy et al, 2021;Tyack et al, 2017) or using non-immersive virtual reality (Cotter et al, 2022(Cotter et al, , 2023. In 21% of studies, art was viewed within a clinical (e.g., hospital) setting, with art viewed either as part of one-to-one facilitator-led sessions (Gelo et al, 2015;Thomson et al, 2012) or hung on the wall as part of the décor and evaluated for the impact on staff or patients (Bowen, 2015;George et al, 2018).…”
Section: Settingmentioning
confidence: 99%
“…The duration also depended greatly on the field of study. For example, those with healthy adults online or in the laboratory (Cotter et al, 2022(Cotter et al, , 2023Mastandrea et al, 2018;Trupp et al, 2022Trupp et al, , 2023Van Dongen et al, 2016) tended to have shorter viewing times than studies with older adults or clinical samples (George et al, 2018;Roberts et al, 2011).…”
Section: Schedulementioning
confidence: 99%