ANALISIS PENGARUH PERBEDAAN LEVEL OTOMASI DAN JENIS PESAN ERROR PADA AUTONOMOUS VEHICLE TERHADAP PENGEMUDI MENURUT PERSPEKTIF ERGONOMI
Yassii Pemula Gusfi, r.Fitri Trapsilawati, S.T., Ph.D., IPM. ASEAN.Eng.
2023 | Tesis | S2 Teknik Industri
There is increasing public skepticism towards
AVs because they are seen as unable to improve driving safety. Malfunctions of
autonomous systems can threaten safety, which is an important factor in AV
acceptance. Information about faults is known to minimize the downside of
malfunction and improve driving safety. This research aims to identify the
influence of AV level and the influence of the type of AV error message on
human factors elements which include situation awareness, mental workload,
trust, willingness to use, willingness to buy, and willingness to pay.
This experiment involved 17 respondents
(7 men, 10 women) who were asked to carry out driving simulations using a
driving simulator for 3 sessions which represented the level of automation
observed, namely manual driving, conditional autonomous driving, and fully
autonomous driving. The autonomous driving mode is modeled by a driving wizard.
While driving, respondents will encounter error message notifications and
probes that require a response from the driver based on the Situation Present
Assessment Method (SPAM). At the end of each driving session, respondents were
given a Trust in Automation questionnaire, and a willingness to use,
willingness to buy, and willingness to pay questionnaire.
The research results show that the level
of automation does not have a significant effect on situation awareness, mental
workload, trust level, and willingness to buy. However, the level of automation
significantly affects willingness to use, additional price willing to be paid,
and desired price. There is no significant influence between the type of error
message on situational awareness and mental workload.
Kata Kunci : autonomous vehicle, human factor, error information, malfunction