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Biased energy efficiency perception based on instantaneous consumption displays – Indication for heuristic energy information processing

Vivien Esther Moll*, Thomas Franke

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Instantaneous consumption displays (ICDs) can be used as central information source to perceive the energy
efficiency of manoeuvre-level driving. A key question is whether drivers who use ICDs can accurately derive
energy efficiency differences of different driving strategies based on ICDs. There is reason to assume that drivers’
consumption judgements may be biased, similar to driving-related phenomena like the time-saving bias.
Therefore, the aim of the present research was to examine drivers’ accuracy in deriving average consumption
from dynamic ICD sequences. Participants viewed videos of a schematic ICD in a controlled experiment where
the maximum instantaneous consumption systematically varied over time. Participants (N = 55) overestimated
the average consumption values. The empirical ranking of the sequences did significantly correlate with the
heuristic but not with the correct efficiency ranking. The current study incorporated multilevel modelling due to
the nested structure of the data. The estimation difference was greater with higher peak height and shorter peak
duration. The effect of peak height on estimation difference weakened with longer peak duration. In sum, the
results indicate that ICDs can create biased perceptions of energy efficiency and that drivers seem to use
simplifying heuristics. Knowledge and affinity for technology interaction appear to relate to biased estimations,
whereas the intensity of prior experience with consumption displays seems irrelevant. Further studies should test
other interfaces with debiasing potential such as manoeuvre-based aggregation or fading-trace approaches.
Moreover, studies are needed that enable modelling of the effects of more natural temporal-spatial visual
attention distribution (e.g. in a driving simulator setting).
OriginalspracheEnglisch
Aufsatznummer103399
ZeitschriftApplied Ergonomics
Jahrgang94
Seitenumfang11
ISSN0003-6870
DOIs
PublikationsstatusVeröffentlicht - 07.2021

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 7 – Erschwingliche und saubere Energie
    SDG 7 – Erschwingliche und saubere Energie

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