Summary information

Study title

Sonic Enhancement of Virtual Exhibits Data, 2020-2021

Creator

Daly, I, University of Essex
Tymkiw, M, University of Essex
Di Giuseppantonio, P, University of Essex
Al-Taie, I, University of Essex
Williams, D, University of Salford

Study number / PID

855667 (UKDA)

10.5255/UKDA-SN-855667 (DOI)

Data access

Open

Series

Not available

Abstract

We conducted an online experiment to explore how sound influences the interest level, emotional response, and engagement of individuals who view objects within a virtual exhibit. As part of this experiment, we designed a set of different soundscapes, which we presented to participants who viewed museum objects virtually. We then asked participants to report their felt affect and level of engagement with the exhibits. This dataset contains the data we recorded in these experiments and used in the analysis presented in our paper entitled 'Sonic Enhancement of Virtual Exhibits'.A common feature of UK museums is their recent embrace of virtual exhibits. However, despite this explosion of virtual exhibits, relatively little attention has been given to how sound may be used to create a more engaging experience for audiences. That is, although museums have certainly included sound as parts of virtual exhibits (e.g., through narrated tours or through the addition of music), there is little scholarship about how sound may be harnessed to influence the length of time spent looking at objects within a virtual exhibit; the emotional response audiences have while viewing these objects; or the level of attention or distraction experienced. We conducted a series of experiments to develop a more rigorous understanding of how sound shapes audiences’ experiences in museums. This project builds on our team’s expertise in sound-tracking and the use of sound effects to influence audience engagement. We also build on our research exploring how sound may be used to modify the affective state of an individual, as well as our research which showed how state-of-the-art neural engineering may be used to dynamically modulate sound and music over time to optimize an “affective trajectory” (a change in felt affect in an audience over time). The project specifically focused on the use of sound effects in the virtual environment, building on our previous studies aimed at understanding how...
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Methodology

Data collection period

01/01/2020 - 01/06/2021

Country

United Kingdom

Time dimension

Not available

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric
Text

Data collection mode

The data collection methodology is described in detail in our paper ‘Sonic Enhancement of Virtual Exhibits’ which is published in PLoS One. We also describe the key details of the data collection methodology here.In an online experiment, participants were shown a series of six 3D models of individual objects, each of which was paired with a particular soundscape. These pairings were pseudo-randomized across participants, and at least one pairing included a “no sound” condition to act as a control. After encountering each 3D model-soundscape pair, participants were asked to report their current felt affect, engagement, and sense of presence, and to reflect on how these were affected by the model-soundscape pairing. Further information is available in the documentation.

Funding information

Grant number

N/A

Access

Publisher

UK Data Service

Publication year

2022

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

Not available