Assaf Botzer

Dr. Assaf Botzer

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2019 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
ABAssaf Botzer
Assaf Botzer
OMOren Musicant
Oren Musicant
YMYaniv Mama
Yaniv Mama

1 January 2017 in Safety Science
Verified
Journal Article
Closed access
ABAssaf Botzer
Assaf Botzer
OMOren Musicant
Oren Musicant
APAmir Perry
Amir Perry

1 November 2019 in Cognition, Technology & Work
Verified
Journal Article
Closed access
PDF file
PRPhilippe Rauffet
Philippe Rauffet
ABAssaf Botzer
Assaf Botzer
CCChristine Chauvin
Christine Chauvin
FSFarida Saïd
Farida Saïd
CTCamille Tordet
Camille Tordet

2 December 2022 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
OMOren Musicant
Oren Musicant
ABAssaf Botzer
Assaf Botzer
SSShraga Shoval
Shraga Shoval

2 October 2015 in The International Journal of Aviation Psychology
Verified
Journal Article
Closed access
MWMichael Wagner
Michael Wagner
Yotam SaharYotam Sahar
Yotam Sahar
TETomer Elbaum
Tomer Elbaum
ABAssaf Botzer
Assaf Botzer
EBEyal Berliner
Eyal Berliner
Objective: We conducted an exploratory investigation of whether grip force could be an indicator of stress in aviation. Background: Pilots might experience stress when anticipating failure to meet task demands and therefore, higher levels of stress can be used as a trigger for engaging automatic assistance. An unobtrusive measure of stress in aviation might be the grip force pilots exert on the control stick that could increase due to the intensified muscle tonus that characterizes psychological stress. Method: Participants were randomly assigned to either an experimental or a control group and performed tracking tasks. Participants in the experimental group were told that as of the second half of the experiment their compensation for the experiment would partly depend on their performance. No such conditioning existed for the control group. Grip force was then measured using a sensor on the control stick. Results: Grip force significantly increased in the second half of the experiment in the experimental group, but decreased in the control group. Similar interaction between experimental group and experimental half was also evident with self-reported stress and galvanic skin response (GSR), yet increases within the experimental group were not significant. Grip force also moderately correlated with GSR, possibly suggesting that they responded to the same construct. Conclusion: Findings provided a preliminary indication that grip force could be used to measure stress in aviation, meriting further research exploration.

1 February 2018 in Human Factors: The Journal of the Human Factors and Ergonomics Society
Verified
Journal Article
Closed access
OMOren Musicant
Oren Musicant
ABAssaf Botzer
Assaf Botzer
ILIlan Laufer
Ilan Laufer
CCChristian Collet
Christian Collet
Objective: To study the relationship between physiological indices and kinematic indices during braking events of different intensities. Background: Based on mental workload theory, driving and other task demands may generate changes in physiological indices, such as the driver’s heart rate and skin conductance. However, no attempts were made to associate changes in physiological indices with changes in vehicle kinematics that result from the driver attempts to meet task demands. Method: Twenty-five drivers participated in a field experiment. We manipulated braking demands using roadside signs to communicate the speed (km/h) before braking (50 or 60) and the target speed for braking (30 or to a complete stop). In an additional session, we asked drivers to brake as if they were responding to an impending collision. We analyzed the relationship between the intensities of braking events as measured by deceleration values (g) and changes in heart rate, heart rate variability, and skin conductance. Results: All physiological indices were associated with deceleration intensity. Especially salient were the differences in physiological indices between the intensive (|g| > 0.5) and nonintensive braking events. The strongest relationship was between braking intensity and skin conductance. Conclusions: Skin conductance, heart rate, and heart rate variability can mirror the mental workload elicited by varying braking intensities. Application: Associating vehicle kinematics with physiological indices related to short-term driving events may help improve the performance of driver assistance systems.