Capturing the response of players to a location-based game

Baillie, Lynne; Morton, Lee; Moffat, David C.; Uzor, Stephen

doi:10.1007/s00779-010-0309-5

Cited by 19 publications

(15 citation statements)

References 10 publications

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“…To ensure this was upheld, direct observations were taken by the lead researcher during the timing of each scenario. Between each scenario participants were given approximately 5 minutes to complete each of the subjective questionnaires and Baillie's emotion wheel [3]. Upon completion of the scenarios participants were then provided with a short postevaluation questionnaire.…”

Section: Methodsmentioning

confidence: 99%

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A comparison of artificial driving sounds for automated vehicles

Beattie

Baillie

Halvey

2015

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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This version is available at https://strathprints.strath.ac.uk/54410/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. A Comparison of Artificial Driving Sounds for Automated Vehicles ABSTRACTAs automated vehicles currently do not provide sufficient feedback relating to the primary driving task, drivers have no assurance that an automated vehicle has understood and can cope with upcoming traffic situations [16]. To address this we conducted two user evaluations to investigate auditory displays in automated vehicles using different types of sound cues related to the primary driving sounds: acceleration, deceleration/braking, gear changing and indicating. Our first study compared earcons, speech and auditory icons with existing vehicle sounds. Our findings suggested that earcons were an effective alternative to existing vehicle sounds for presenting information related to the primary driving task. Based on these findings a second study was conducted to further investigate earcons modulated by different sonic parameters to present primary driving sounds. We discovered that earcons containing naturally mapped sonic parameters such as pitch and timbre were as effective as existing sounds in a simulated automated vehicle.

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Section: Methodsmentioning

confidence: 99%

“…How satisfied are you with the sounds of the vehicle in this scenario? Finally, to obtain an insight into participant emotional responses Baillie et al's emotion wheel was presented [3].…”

Section: Data Gathering Methodsmentioning

confidence: 99%

A comparison of artificial driving sounds for automated vehicles

Beattie

Baillie

Halvey

2015

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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“…The horizontal axis ranges from low to high valence (left to right) and the vertical axis ranges from low to high arousal (bottom to top). Baillie et al [5] found that the emotion wheel was both easy to use and very efficient in capturing users' emotions. The other assessment tool we used was the SAM [10] which is based on the vector model of emotion.…”

Section: Evaluating Emotional Responsesmentioning

confidence: 99%

“…They have both been used as a tool for mapping the emotions that can be evoked by sounds [6,11], images [26] varying combinations of thermal stimuli [38]. Variations of both the Russell circumplex and vector models called the emotion wheel [5] and self-assessment manikin (SAM) [10], respectively, were used as assessment tools in our studies (see Figs. 1, 2).…”

Section: Evaluating Emotional Responsesmentioning

confidence: 99%

“…Therefore, in the two user studies we decided to use assessment tools based on both the Russell Circumplex and vector models to evaluate emotional responses to augmented images. The emotion wheel [5], derived from Russell Circumplex model, is a 0°-360°cyclic ordinal scale made up of 4 quadrants. The horizontal axis ranges from low to high valence (left to right) and the vertical axis ranges from low to high arousal (bottom to top).…”

Section: Evaluating Emotional Responsesmentioning

confidence: 99%

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Using thermal stimuli to influence affect in different picture display sizes

Akazue

Halvey

Baillie

2017

Pers Ubiquit Comput

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The ability of images to evoke emotions in people has been well documented in previous research, as well as the differences in the emotional perception of images when viewed on different-sized screens and device types. The ability of thermal stimuli to evoke emotions in people when used for media augmentation has also been examined. However, little is known about how thermal stimuli can be used to enhance or reduce affect in images with varying emotional properties displayed in different sizes or on different devices. To the best of our knowledge, no work has been conducted to investigate whether there is any difference in the effect thermal augmentation has on images displayed in different sizes on different device types. This paper presents two user studies to address this research gap. Study 1 explored the effect thermal stimulation has on images displayed in different sizes. Images were displayed in sizes corresponding to the full screen display of a laptop, tablet and mobile phone. In study 2, we examined whether the actual presentation device (tablet and mobile) plays a role in the emotional perception of images displayed on mobile devices. Results showed that thermal augmentation was most effective in modulating emotions in small-sized pictures (427 9 240 pixels display size) and pictures displayed on a mobile phone. Thermal stimuli also reduced emotions in medium display sizes (corresponding to the full screen display of a tablet).

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