Title :
Foundations for deriving empirical model to predict selection times with soft keyboard in the flight deck
Author_Institution :
Iowa State Univ., Ames, IA, USA
Abstract :
Application of Touch screen technology in the flight deck is being reexamined currently by the OEMs with the maturity in technology evolution and increase in user community enthusiasm due to advent of touch screen tablet devices. This consumer driven technology brought demand for effective human machine interfaces and challenges associated with application of this technology in flight deck. This paper reviews existing human performance models to predict selection times with soft keyboard and provides a foundation to evaluate which models can used to measure specifically selection times associated with data entry through soft keyboard in the flight deck. This paper provides a framework for my research on evaluating the human computer interaction issues associated with soft keyboard in the flight deck.
Keywords :
aircraft computers; human computer interaction; keyboards; notebook computers; touch sensitive screens; data entry; empirical model; flight deck; human machine interfaces; selection time prediction; soft keyboard; technology evolution; touch screen tablet devices; touch screen technology; Computational modeling; Error analysis; Fingers; Human computer interaction; Keyboards; Predictive models; Psychology; FFitts law; Fitts´ law; Hick´s law; Modeling selection times with soft keyboard in the flight deck and human computer interaction; Power law of practice; Selection Times; Steering law; Touch Screen Interfaces; direct manipulation; flight deck displays;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
Conference_Location :
East Syracuse, NY
Print_ISBN :
978-1-4799-1536-1
DOI :
10.1109/DASC.2013.6712596