TY - GEN
T1 - EDA scale - Assessing awareness for energy dynamics
AU - Gödker, Markus
AU - Dresel, Markus
AU - Franke, Thomas
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/9/8
Y1 - 2019/9/8
N2 - Energy-related behavior in resource dependent systems (e.g. electric vehicles, houses, ships) is an important factor for the actual energy efficiency such systems can achieve. Energy feedback human-machine-interfaces (HMIs) can support the awareness of energy dynamics in order to comprehend the situation and the influences on energy consumption and to control the system to enhance energy efficiency. To evaluate these HMIs, a scale to assess the energy dynamics awareness (EDA) is needed. Therefore, we developed the EDA scale with 7 items and tested the scale in a study with N = 40 battery electric bus (BEB) drivers on two different HMIs. First results indicated an excellent reliability (Cronbach’s α = .92 and .93) and principal factor analyses revealed a solid single factor structure (61.8% and 67.8% explained variance) with high factor loadings (> .61 for all items). Future studies should further explore the construct and criterion validity of the scale.
AB - Energy-related behavior in resource dependent systems (e.g. electric vehicles, houses, ships) is an important factor for the actual energy efficiency such systems can achieve. Energy feedback human-machine-interfaces (HMIs) can support the awareness of energy dynamics in order to comprehend the situation and the influences on energy consumption and to control the system to enhance energy efficiency. To evaluate these HMIs, a scale to assess the energy dynamics awareness (EDA) is needed. Therefore, we developed the EDA scale with 7 items and tested the scale in a study with N = 40 battery electric bus (BEB) drivers on two different HMIs. First results indicated an excellent reliability (Cronbach’s α = .92 and .93) and principal factor analyses revealed a solid single factor structure (61.8% and 67.8% explained variance) with high factor loadings (> .61 for all items). Future studies should further explore the construct and criterion validity of the scale.
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85072806234&origin=inward&txGid=b196b8c5f2d5aca62853dd5ac975fa86
U2 - 10.1145/3340764.3344891
DO - 10.1145/3340764.3344891
M3 - Conference contribution
SN - 978-145037198-8
T3 - ACM International Conference Proceeding Series
SP - 683
EP - 687
BT - MuC'19: Proceedings of Mensch und Computer 2019
PB - ACM
T2 - Mensch und Computer 2019<br/>
Y2 - 8 September 2019 through 11 September 2019
ER -