A Novel Approach to Social Media Guideline Design and Its Application to Automated Vehicle Events

Alambeigi, Hananeh; Smith, A. J.; Wei, Ran; McDonald, Anthony D.; Arachie, Chidubem; Huang, Bert

doi:10.1177/1071181321651215

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Secondly, social media data might not represent the general public. For example, more than one-third of Twitter users in the USA have a college degree and earn more than 75,000K$, which shows that these users are more educated and have higher incomes when compared to the average person in the USA [19]. Thus, this analysis might be biased and representative of a specific group with specific demographic characteristics.…”

Section: Research Gap and Study Objectivesmentioning

confidence: 98%

Impact of Accidents Involving Autonomous Vehicles on the Perceived Benefits and Concerns

Othman¹

2023

Proceedings of the 8th International Conference On Civil, Structural and Transportation Engineering (ICCSTE 2023)

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Autonomous vehicles (AVs) or self-driving cars have the potential to offer a large number of benefits such as improving the mobility for people with limited modes of transportation and the reduction of the emissions, energy, travel time, and required fleet size to service the same population. Despite the enthusiastic speculation of AVs, little is known about the public attitude towards AVs and the factors that affect the public acceptance of this emerging technology. However, the public attitude is considered a main determinant for the success of any new technology. Over the last few years, AVs were involved in multiple accidents that attracted the media and news. While these accidents are expected to affect the public attitude and discourage people from adopting AVs, the impact of these accidents on the public attitude has been rarely discussed in the literature. Thus, this paper mainly focuses on understanding and quantifying the impact of AVs accidents on the general opinion, level of trust, level of concern in traveling in an AV, perceived benefits, and perceived concerns using an online questionnaire survey that was completed by 1987 respondents from the USA. The results show that AVs accidents negatively affected the public attitude towards AVs that the level of interest in owning an AV decreased by 25%. Additionally, these accidents have negatively affected the level of trust in AVs that most of the respondents will not allow their kids to travel in an AV by themselves.

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Section: Research Gap and Study Objectivesmentioning

confidence: 98%

Impact of Accidents Involving Autonomous Vehicles on the Perceived Benefits and Concerns

Othman¹

2023

Proceedings of the 8th International Conference On Civil, Structural and Transportation Engineering (ICCSTE 2023)

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“…Koskinen et al [16] reported that users of Tesla AP realigned trust in the system after misplacing trust when encountering unexpected situations that differed from their initial expectations. Social groups are also a tool to calibrate expectations and teach appropriate use of automation that can lead to fewer safety incidents through communication guidelines [21]. Social forums can also be used by researchers to learn more about safety issues that can only be discovered by users with specialized knowledge, unique orientations toward a subject, or experience in special circumstances [22].…”

Section: Human Factors Research On Tesla Self-driving Modes and Other...mentioning

confidence: 99%

When Self-Driving Fails: Evaluating Social Media Posts Regarding Problems and Misconceptions about Tesla’s FSD Mode

Linja¹,

Mamun²

2022

MTI

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With the recent deployment of the latest generation of Tesla’s Full Self-Driving (FSD) mode, consumers are using semi-autonomous vehicles in both highway and residential driving for the first time. As a result, drivers are facing complex and unanticipated situations with an unproven technology, which is a central challenge for cooperative cognition. One way to support cooperative cognition in such situations is to inform and educate the user about potential limitations. Because these limitations are not always easily discovered, users have turned to the internet and social media to document their experiences, seek answers to questions they have, provide advice on features to others, and assist other drivers with less FSD experience. In this paper, we explore a novel approach to supporting cooperative cognition: Using social media posts can help characterize the limitations of the automation in order to get information about the limitations of the system and explanations and workarounds for how to deal with these limitations. Ultimately, our goal is to determine the kinds of problems being reported via social media that might be useful in helping users anticipate and develop a better mental model of an AI system that they rely on. To do so, we examine a corpus of social media posts about FSD problems to identify (1) the typical problems reported, (2) the kinds of explanations or answers provided by users, and (3) the feasibility of using such user-generated information to provide training and assistance for new drivers. The results reveal a number of limitations of the FSD system (e.g., lane-keeping and phantom braking) that may be anticipated by drivers, enabling them to predict and avoid the problems, thus allowing better mental models of the system and supporting cooperative cognition of the human-AI system in more situations.

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Impact of Autonomous Vehicles Accidents on the Public Attitude Towards This Emerging Technology

Othman

2023

Lecture Notes in Electrical Engineering

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A Novel Approach to Social Media Guideline Design and Its Application to Automated Vehicle Events

Cited by 4 publications

References 13 publications

Impact of Accidents Involving Autonomous Vehicles on the Perceived Benefits and Concerns

Impact of Accidents Involving Autonomous Vehicles on the Perceived Benefits and Concerns

When Self-Driving Fails: Evaluating Social Media Posts Regarding Problems and Misconceptions about Tesla’s FSD Mode

Impact of Autonomous Vehicles Accidents on the Public Attitude Towards This Emerging Technology

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