TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES
Marcin Badurowicz
m.badurowicz@pollub.plLublin University of Technology, Institute of Computer Science, 38A Nadbystrzycka Str. 20-618 Lublin, Poland (Poland)
https://orcid.org/0000-0003-2249-4219
Stanisław Skulimowski
(Poland)
Anna Prończuk-Omiotek
Maria Curie-Sklodowska University in Lublin, Faculty of Economics, Maria Curie-Sklodowska Square 5, 20-031 Lublin, Poland (Poland)
Abstract
In the paper authors are introducing the concept of usage of physical orientation of a mobile device, calculated using built-in environmental sensors like accelerometer, gyroscope and magnetometer for detection of tilting gesture. This gesture is used as an acceptance factor for the two next probable word solutions suggested to the user during text input. By performing the device tilt, the first or second word is being automatically put into the desired text field and new prediction is performed. The text predictions are calculated and stored directly on the device to maintain privacy protection. The founding concept of the software is being presented, as well as initial considerations and further plans. This solution is recommended especially to smartphone manufacturers like Microsoft, Samsung and Apple to deploy in their latest models.
Keywords:
mobile devices, human-computer interaction, accelerometer, text input, technologyReferences
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Authors
Marcin Badurowiczm.badurowicz@pollub.pl
Lublin University of Technology, Institute of Computer Science, 38A Nadbystrzycka Str. 20-618 Lublin, Poland Poland
https://orcid.org/0000-0003-2249-4219
Authors
Stanisław SkulimowskiPoland
Lublin University of Technology, Institute of Computer Science, 38A Nadbystrzycka Str. 20-618 Lublin, Poland
Authors
Anna Prończuk-OmiotekMaria Curie-Sklodowska University in Lublin, Faculty of Economics, Maria Curie-Sklodowska Square 5, 20-031 Lublin, Poland Poland
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