We present a touchless interface based on gesture recognition for the control of an elevator. Interacting with the interface, a user can select and confirm the desired floor without touching any physical device. The interface has to guarantee a usability comparable to the habitual button panels: the users are supposed to use the elevator without any specific training, and its functionality has to be the same of traditional elevators. In addition to describing three possible implementations of the touchless interface, the paper provides two contributions: a comparison of two different technologies used as the interface inputs, and the results from 10 preliminary user tests performed to measure the perceived usability. The results are promising: two implementations out of three got an average score around 84 on the "Usability Metrics for User Experience"

A touchless human-machine interface for the control of an elevator / Montanaro, Luca; Sernani, Paolo; Dragoni, Aldo Franco; Calvaresi, Davide. - STAMPA. - 1746:(2016), pp. 58-65. (Intervento presentato al convegno 2nd International Conference on Recent Trends and Applications in Computer Science and Information Technology, RTA-CSIT 2016 tenutosi a alb nel 2016).

A touchless human-machine interface for the control of an elevator

SERNANI, PAOLO;DRAGONI, Aldo Franco;CALVARESI, DAVIDE
2016-01-01

Abstract

We present a touchless interface based on gesture recognition for the control of an elevator. Interacting with the interface, a user can select and confirm the desired floor without touching any physical device. The interface has to guarantee a usability comparable to the habitual button panels: the users are supposed to use the elevator without any specific training, and its functionality has to be the same of traditional elevators. In addition to describing three possible implementations of the touchless interface, the paper provides two contributions: a comparison of two different technologies used as the interface inputs, and the results from 10 preliminary user tests performed to measure the perceived usability. The results are promising: two implementations out of three got an average score around 84 on the "Usability Metrics for User Experience"
2016
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/244832
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