Data from EngD Thesis: "Understanding Hand Interactions and Mid-Air Haptic Responses within Virtual Reality and Beyond"

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Clark, Rory (2022) Data from EngD Thesis: "Understanding Hand Interactions and Mid-Air Haptic Responses within Virtual Reality and Beyond".

This is the full anonymised data that was analysed within the EngD Thesis: "Understanding Hand Interactions and Mid-Air Haptic Responses within Virtual Reality and Beyond" by Rory Clark It includes all study and survey data for: Chapter 3 - Comparing 3D Button Behaviours and the Role of Haptic Feedback within Virtual Reality Chapter 4 - Comparing Input Methods and the Role of Haptic Feedback During VR Hand-Object Interaction Tasks

Dataset Details

Research / Data Type:	Database
Creators:	Creators Email Clark, Rory me@rory.games
Groups:	Faculty of Media & Communication (Until 31/07/2025)
Collection period:	From To November 2018 December 2020
Date:	26 September 2022
Date type:	Publication
Data collection method:	All collections were linked together using a unique, anonymised user ID. Survey data was collected using Google Forms. Study data was collected from in-simulation heuristics and questions, and post-study recording analysis. The data from Chapter 3 was directly recorded to CSV files from which the simulation would generate. The data from Chapter 4 was recorded using PlayRecorder (described in Chapter 5), which recorded most of the statistics into CSV data. A number of the statistics were parsed from the recorded data.
Funder name(s):	Engineering and Physical Sciences Research Council (EPSRC)
Grant reference number(s):	EP/L016540/1
Keywords:	virtual reality, hand tracking, optical hand tracking, mid-air haptics, haptic feedback, human computer interaction, user interfaces, fine motor skills, controllers
Data processing and preparation activities:	Data has been collated into relevant tasks and sheets. Chapter 4 data has not been segmented by block number and must be done so to easily perform analysis.
Status:	Published
Publisher:	Bournemouth University
Contact email address:	bordar@bournemouth.ac.uk

Record Details

DOI:	10.18746/bmth.data.00000266
Depositing User:	Rory Clark
Year Deposited:	26 Sep 2022 09:15
Revision:	24
Last Modified:	26 Sep 2022 09:15

Available Files

Full Archive

3dxrui - quantitative.csv

3dxrui - survey data.csv

fmt-blockstacking.csv

fmt-objectsorting.csv

fmt-post-study.csv

fmt-pre-study.csv

Related Resources

Understanding H ... lity and Beyond

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