Garcia Garcia, Grecia, Grau, Ronald R, Aldrich, Frances K and Cheng, Peter C-H (2019) Multi-touch Interaction Data Analysis System (MIDAS) for 2-D tactile display research. Behavior Research Methods. ISSN 1554-3528

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Abstract

The study of haptic perception and cognition requires data about how humans interact with tactile surfaces in the context of performing cognitive tasks. MIDAS is a set of three tools for the digital capture, coding, analysis, and interpretation of timeseries, multitouch, interactive behaviors on a tactile surface. The MIDAS-logger uses the current screen technology of tablet computers to capture touches (up to ten fingers at high spatial and temporal resolution) through conventional tactile graphics that are overlaid on the screen. The MIDAS-analyser is a software program for the qualitative and quantitative analysis of MIDASlogger touch data, which includes a fully interactive visualization of the data and a yoked display of a conventional simultaneous video recording made of the interactions. MIDAS-tactile protocol analysis (TPA) provides a scheme and a method to enable the rich coding and interpretation of tactile behaviors over multiple spatial and temporal scales. The efficacy of MIDAS was assessed against a set of criteria drawn from the successes and limitations of prior approaches to the study of tactile interactions. To demonstrate the functions of MIDAS, its three components were used to capture, analyze, code, and interpret the behavior of an experienced user and an inexperienced user of tactile graphics as they performed a shape-matching task.

Item Type:	Article
Keywords:	Multitouch, Tactile interaction, Visual impairment, Gesture logging and analysis Tactile protocol analysis
Schools and Departments:	School of Engineering and Informatics > Informatics School of Psychology > Psychology
Research Centres and Groups:	Creative Technology The Reginald Phillips Research Network for Improving Education for People with Visual Impairment
Subjects:	Q Science
Depositing User:	Ron Grau
Date Deposited:	09 Aug 2019 10:41
Last Modified:	09 Aug 2019 12:50
URI:	http://sro.sussex.ac.uk/id/eprint/85377

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