Sociotechnical
Plan for Dedicated Short-Range Communication (DSRC) Systems
https://tylerscafidi.blogspot.com/2025/03/blog-post-13-unit-9-individual-project.html
Tyler
L. Scafidi
Colorado
Technical University
March
9, 2025
Sociotechnical
Plan for Dedicated Short-Range Communication (DSRC) Systems
Dedicated Short-Range Communication (DSRC) is
a combination of several networking technologies that enable short-range
communication networks on a mass-scale
I assume that there would also be some form of
monitoring/logging, which may be used as legal evidence. Another benefit is the
vehicle collision avoidance features that would be built-in, as enabled
vehicles report their location, heading, and speed approximately 10 times per
second (Everything RF, n.d.). Artificial Intelligence (AI) systems would be
layered on top of the technology to provide more efficient and effective
insights by being able to analyze mass amounts of data with east. While these
features provide many benefits, from a sociotechnical perspective, I am not
sure about the privacy and legal implications it can have on drivers.
Another form of large-scale networks would be
the FirstNet network project
Part I
Scope
Vehicle-to-vehicle
(V2V) and vehicle-to-infrastructure (V2I) both offer many benefits that many
would agree on
The main
limitation for these innovations has to be the number of vehicles owned that
would meet the requirements to use these services. Infrastructure development
and/or upgrades would be costly (i.e. all traffic devices, roadways, everything
in-between, etc.). Privacy will most likely be an issue throughout the
technology, which owners will have to accept as a trade-off and/or mandate.
Retrofitting vehicles for integration with vehicle-to-everything (V2X) may be a
challenge, due to the numerous sensors required. There may be potential to
design an On-Board Diagnostics (OBD) adapter/device to transmit the very
minimum required data.
Purpose
Some of the
main reasons that Dedicated Short-Range Communication (DSR) is being
implemented is the demand for better traffic safety/incidents, have a more
realistic and centralized view of traffic patterns, better insurance/law
enforcement efforts, and autonomous driving
Supporting Forces
As mentioned
above, the accident, injury, and deaths saved is essentially worth it on their
own. On top of that, being able to rollout automation/Artificial Intelligence
(AI)-based driving and extended features is both exciting and frightening.
While these are some basic vehicle-to-everything (V2X) technologies, I imagine
that the software/after-market products and services available will also rapidly
increase in a new sociotechnical market. When systems are safely and reliability
automated, the automobile will transform into more of an entertainment vessel,
with driving capabilities. There are already automated self-driving taxis in
some cities, and having the feature available would be nice. Law enforcement
must also support the V2X projects, as they will likely be able to issue more
citations, track criminals more efficiently, and will be available to serve as
legal evidence.
Challenging Forces
In 2020 it
was estimated that implementation would cost approximately $350 per vehicle to
be compliant, and cost from around $300 million to $6.4 billion annually,
depending (
Methods
When it comes
to choosing an appropriate research method for this sociotechnical
product/service, I considered the following research method designs: the Delphi
method, the nominal group technique (NGT), and a structured design process
(SDP) approach. The Delphi method is designed to get feedback from remote
participants throughout several rounds
From the few search results I found,
structured design process (SDP) seems to be the most suitable research and
design methodology for information systems (ISs)
While the
structured design process (SDP) seems to be one of the most appropriate methods
for systems and software design for the vehicle-to-everything (V2X) systems,
the Delphi method could be integrated into user-feedback testing/beta stages.
Not only consumers, but agencies that work with the systems will also need to
provide iterative feedback. Since the demographic selection may be clustered
and geographically dispersed, making in-person interviews much more difficult
and expensive, Delphi method feedback loops and testing could help pre- and
post-launch.
Part II
Models
When
thinking about sociotechnical systems, it is important to understand exactly
what that means. Being able to visualize, classify, and disseminate information
spaces and functions is essential to understanding the sociotechnical system (Figure
1), similar to the Open Systems Interconnection (OSI) model’s technical design
needs (Figure 2) (Smart Building Academy, 2013; Whitworth & Ahmad, n.d.).
Figure one categorizes various levels of sociotechnical systems. For instance,
the Technology and Information Technology layers would be considered the
technical layers, while the Human-Computer Interaction (HCI) (i.e. preferences
like button sizes, layouts, accessibility, etc.) and socioecological layers
are non-critical desires upon how technology is used within society
Figure 1
Requirements for Socio-Technical Design
Note: Diagram
that visualizes how additional demands on technology have evolved within
Human-Computer Interaction (HCI) and Socio-Technology Systems (STS)
Figure 2
The Open Systems Interconnection (OSI) Model
Note: Retrieved
from Smart Buildings Academy’s website
Figure 3
An Access Control System Policy from a
Socio-Technical Design Perspective
Note: This
model represents front-end versus back-end technologies and interaction,
retrieved from the Interaction Design Foundation
Analytical Plan
Analyzing data is always useful, for
informational purposes, for improvements, and to troubleshoot errors that may occur.
Since sociotechnical systems involve both qualitative and quantitative data (e.g.
experiences and technical), a mixed-methods approach should be designed, even
if not needed right away
Some
Artificial Intelligence (AI)-based technologies may exist to automate a lot of
the reporting and management via centralized dashboards and robust analysis
features. However, it is important to take a holistic approach to qualitative
and quantitative sociotechnical system design (e.g. consider all stakeholders).
Not only must the technology suit the needs of the users and society overall,
but it also must fit the business’s needs, cultural alignment, and
requirements. I would check the results regularly, setting up alerts for warning-
or critical-type issues, at minimum. Then, I would setup a regular meeting, on
whatever interval/schedule makes sense, among all key personnel to review the
analytics, brainstorm new ideas, and collaborate on any persistent issues.
Anticipated Results
The social impact of change is basically how the
technology is impacting society. The main priority is typically whether it
works, if it stable enough, safe, privacy-focused (legally/within reason), and
if hot-patches can be released Over-the-Air (OTA) (e.g. mostly technical). On
the social side, I would expect there to be some resistance, learning-curves, high
consumer costs to convert/purchase new equipment and/or automobiles, and minor
bugs. Over time, with monitoring, analysis, and change management, the sociotechnical
system will become second-nature; possibly, even revered! After all, most of
the monitoring and penalties that could be imposed are just as present as they
are currently. Providing a customer-support ticketing system to track issues, net
promoter score/user-feedback surveys, Customer Relationship Management (CRM)
system, and skilled support teams are key to gauging the sociotechnical systems’
results.
Conclusion
Innovation
requires buy-in, support, and/or a desire to adopt the innovation. Within
organizations, discontent and dissatisfaction about innovations can cause toxic
work culture, and potentially lead to project failure. It is important to
solicit good and negative feedback. While the good metrics are nice to see,
often translate into profits, and successes, the negative feedback are the
areas of improvement that should be analyzed and built into the next iterations’
changes. Additionally, a customer dispute resolution process would also be
helpful to setting expectations, and also providing support while soliciting
issues with the sociotechnical systems. While it would be nice to solve all
issues, it is not always practical.
In
1962, a full framework for the diffusion of innovation was published by Everett
Rogers, a sociology professor
Figure 4
Everett Rogers’ Five-Stage Process for the
Diffusion of Innovation
Note:
Adapted from Ryan and Gross’s 1943 study about the adoption of hybrid seed
corn, which identified key innovation stages: adoption, importance of mass
communications, and interpersonal networks
Figure
5
The
Five-Stages of Innovation Diffusion
Note:
Derived from Everett Rogers’ 1962 book “Diffusion of Innovations”
It is also noted that adoption
and innovation are not the same, as it relates to sociotechnical perspective
Areas of Future Research
While Dedicated Short-Range Communication (DSRC)
is certainly innovative, it has some limitations
On
the other hand, Cellular Vehicle-to-Everything (CV2X) is a newer standard,
which leverages 3rd Generation Partnership Project (3GPP) LTE and 5G
cellular standards
Overall,
innovation requires serious buy-in and trust
From a cybersecurity
standpoint, I just imagine the number of new hosts that will be assigned Internet
Protocol (IP) addresses
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