📝 Original Info
- Title: Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms
- ArXiv ID: 1708.01925
- Date: 2017-08-22
- Authors: Researchers from original ArXiv paper
📝 Abstract
Humans are going to delegate the rights of driving to the autonomous vehicles in near future. However, to fulfill this complicated task, there is a need for a mechanism, which enforces the autonomous vehicles to obey the road and social rules that have been practiced by well-behaved drivers. This task can be achieved by introducing social norms compliance mechanism in the autonomous vehicles. This research paper is proposing an artificial society of autonomous vehicles as an analogy of human social society. Each AV has been assigned a social personality having different social influence. Social norms have been introduced which help the AVs in making the decisions, influenced by emotions, regarding road collision avoidance. Furthermore, social norms compliance mechanism, by artificial social AVs, has been proposed using prospect based emotion i.e. fear, which is conceived from OCC model. Fuzzy logic has been employed to compute the emotions quantitatively. Then, using SimConnect approach, fuzzy values of fear has been provided to the Netlogo simulation environment to simulate artificial society of AVs. Extensive testing has been performed using the behavior space tool to find out the performance of the proposed approach in terms of the number of collisions. For comparison, the random-walk model based artificial society of AVs has been proposed as well. A comparative study with a random walk, prove that proposed approach provides a better option to tailor the autopilots of future AVS, Which will be more socially acceptable and trustworthy by their riders in terms of safe road travel.
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Humans are going to delegate the rights of driving to the autonomous vehicles in near future. However, to fulfill this complicated task, there is a need for a mechanism, which enforces the autonomous vehicles to obey the road and social rules that have been practiced by well-behaved drivers. This task can be achieved by introducing social norms compliance mechanism in the autonomous vehicles. This research paper is proposing an artificial society of autonomous vehicles as an analogy of human social society. Each AV has been assigned a social personality having different social influence. Social norms have been introduced which help the AVs in making the decisions, influenced by emotions, regarding road collision avoidance. Furthermore, social norms compliance mechanism, by artificial social AVs, has been proposed using prospect based emotion i.e. fear, which is conceived from OCC model. Fuzzy logic has been employed to compute the emotions quantitatively. Then, using SimConnect approac
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Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and
Social Norms
Faisal Riaz1, Muaz Niazi 2,*
1Dept. Of Computing-Iqra University, Islamabad, Pakistan
2Dept. Of Computer Sciences-COMSATS, Islamabad, Pakistan
fazi_ajku@yahoo.com
*muaz.niazi@gmail.com
Abstract
Humans are going to delegate the rights of driving to the autonomous vehicles in near future.
However, to fulfill this complicated task, there is a need for a mechanism, which enforces the
autonomous vehicles to obey the road and social rules that have been practiced by well-behaved
drivers. This task can be achieved by introducing social norms compliance mechanism in the
autonomous vehicles. This research paper is proposing an artificial society of autonomous
vehicles as an analogy of human social society. Each AV has been assigned a social personality
having different social influence. Social norms have been introduced which help the AVs in
making the decisions, influenced by emotions, regarding road collision avoidance. Furthermore,
social norms compliance mechanism, by artificial social AVs, has been proposed using prospect
based emotion i.e. fear, which is conceived from OCC model. Fuzzy logic has been employed to
compute the emotions quantitatively. Then, using SimConnect approach, fuzzy values of fear has
been provided to the Netlogo simulation environment to simulate artificial society of AVs.
Extensive testing has been performed using the behavior space tool to find out the performance
of the proposed approach in terms of the number of collisions. For comparison, the random-walk
model based artificial society of AVs has been proposed as well. A comparative study with a
random walk, prove that proposed approach provides a better option to tailor the autopilots of
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future AVS, Which will be more socially acceptable and trustworthy by their riders in terms of
safe road travel.
Key Word: - Autonomous Vehicles, Social Norms, OCC Model, Prospect Based Emotions, Fuzzy Logic, Netlogo
- Introduction
Autonomous road vehicles (ARVs) have been considered better than human driven vehicles in
road safety and traffic management. According to the investigation of Riaz and Niazi [1],
autonomous vehicles have been found helpful in decreasing road accidents as compared to the
human-driven vehicles. Furthermore, the issue of road jams can be solved by replacing human
drivers with fully connected autonomous cars, as noted by Litman [2]. In addition, Mersky and
Samaras [3] have illustrated that AVs are very helpful in decreasing the road pollution and
making the environment green. From these benefits, it might be possible that the law agencies
delegate the driving task to AVs by issuing them the driving license. However, to fulfill this
complicated task of driving, there is a need for a mechanism, which enforces the autonomous
vehicles, which is a robot, to obey the road and social rules that have been practiced by well-
behaved drivers.
The Role of ethics and social norms have been considered important in making robots social,
well behaved and more compatible with humans. According to Malle [4], robots can serve as
competent social agents by integrating moral norms in their basic architecture. A. Rakotonirainy
et al. [5] have proven that social norms can be utilized to design human compatible social AVs
robots. According to Kummer et al. [6], social norms can be used in tailoring crash free AVs
robot by operating on roads wisely. From the above discussion, it is implied that social norms
with some norms compliance mechanism can be used to tailor the next generation of more
trustworthy social AVs.
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Emotions can be used as norms compliance mechanism as it is already proven that emotions help
in sustaining the social norms in human society. According to Elster [7], self-attribution
emotions like shame helps the human to avoid the violation due to fear of losing their social
status. According to N. Criado [8], prospect based emotions like fear enforce the human to
follow the social norms in order to avoid the punishment from the law enforcement agencies.
Inspired by the role of emotions in social norm compliance in the human society, researchers
have used emotions to enforce the artificial agents’ norm compliance. According to staller et al.
[9]emotions act as an important factor in the sustainability of social norms. Hence, it is implied
that we can use emotions as the norms compliance mechanism to design social norms enabled
AVs. Gerdes and Thornton [10] have suggested the mathematical model of social norms for
designing the control algorithms of AVs but still their works lack the simulation or proof of
concept of proposed mathematical models.
Problem statement- However, to the best of our knowledge the existing literature has not
proposed such procedures that allow AVs to configure their autopilots to make collision
avoidance decisions about norm compliance usin
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