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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>ACM on Human-Computer Interaction</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.1145/3546726</article-id>
      <title-group>
        <article-title>Conflicts: Challenges and Research Directions</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Annika Stampf</string-name>
          <email>annika.stampf@uni-ulm.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Enrico Rukzio</string-name>
          <email>enrico.rukzio@uni-ulm.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Institute of Media Informatics, Ulm University</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>ing Automation Experiences</institution>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2020</year>
      </pub-date>
      <volume>6</volume>
      <issue>2022</issue>
      <fpage>538</fpage>
      <lpage>547</lpage>
      <abstract>
        <p>As the complexity and capability of vehicles increase, they adopt higher degrees of responsibility and execute greater levels of autonomous decision-making. On the way to full automation, they act with the user as a team. This can lead to conflicts that are detrimental to automation engagement. We explore factors influencing conflict development with automated vehicles and discuss challenges and possible future research directions.</p>
      </abstract>
      <kwd-group>
        <kwd>passenger-vehicle interaction</kwd>
        <kwd>automation engagement</kwd>
        <kwd>conflicts</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Automated systems are becoming increasingly prevalent
in huge parts of our lives. Not excluding mobility. Here,
the future vision of self-driving vehicles is currently at
the center. Expected benefits are safer and more
eficient trafic as well as an increased comfort level and
user experience for passengers [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. The accompanying
shift of the driving task from the driver to the vehicle
not only results in an allocation of vehicle control but
also power, authority, and responsibility [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. However,
until full automation is reached, the driver and the
vehicle stay in a cooperative and collaborative relationship
with mutual dependencies [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. A driver’s behavior and
expectations within this relationship depend on their
abilities, knowledge, experience, trust, and interests, such
as needs, values, or goals [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. This can lead to conflicts
when the interests of the vehicle and the driver contradict
each other, where conflict is seen as the state in which
interests cannot be achieved by one or more agents [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ].
This can be negatively supported by a lack of a shared
situation representation [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. If conflicts concern the driving
task, i.e., if the desired behavior of the driver contradicts
the expected behavior of the vehicle, the driver will wish
to override the driving behavior of the automation, if
allowed to [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. This in turn can lead to safety-critical
situations. One reason is the ”out-of-the-loop” efect,
meaning the driver is no longer engaged in the driving
task, resulting in decreased situation awareness and skill
nEvelop-O
(E. Rukzio)
∗Corresponding author.
†These authors contributed equally.
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Factors of Conflict Development in Human-Vehicle Interaction</title>
      <sec id="sec-2-1">
        <title>Conflicts between passengers and vehicles can occur in a broad range of situations and have a wide variety of</title>
        <sec id="sec-2-1-1">
          <title>2.1. Human-Vehicle Relationship</title>
        </sec>
      </sec>
      <sec id="sec-2-2">
        <title>The type of transportation (e.g., individual, or public) has an influence on the relationship between the user and</title>
        <p>AutomationXP23: Intervening, Teaming, Delegating - Creating Engag- causes. In order to explore these further, the first step is
to identify factors that influence conflict development.
work, privacy, and mutual knowledge vary, which may
have a direct impact on performance expectancy [15],
trust [16], communication, power dynamics, and, thus,
conflict development.</p>
        <p>In individual transport, where the driver is the owner
of the vehicle, the driver is familiar with the technology
and its capabilities, which can increase confidence and
comfort level when using the vehicle [16]. However,
expectations for the satisfaction of personal needs might
be high. In contrast, when an HAV is used as part of a
car-sharing or rental service, the driver may have limited
knowledge of the technology and its capabilities [16].</p>
        <p>Conflicts may more probably arise due to a lack of
experience and mutual understanding, which can lead to
distrust. In public transport, having no control might
influence conflict development.</p>
        <p>Thus, the relationship and dynamics between the user
and the vehicle need to be considered in order to
understand conflict development.</p>
        <sec id="sec-2-2-1">
          <title>2.2. Human-Vehicle Interaction and</title>
        </sec>
        <sec id="sec-2-2-2">
          <title>Communication Strategies</title>
          <p>Full vehicle automation is approached via the
intermediate steps of conditionally and highly automated vehicles
that gradually assume more and more of the driving task
but still are in need of support or possible takeovers
by a driver. Diferent interaction strategies, such as
cooperative and collaborative approaches, shared control
strategies, or takeovers and handovers (see [17] for an
overview) afect the level of control and responsibility
that drivers have over the vehicle. How control and
responsibility are distributed are factors influencing for
instance the driver’s sense of agency [18]. If the driver
loses the sense of agency or develops an overreliance in
the vehicle, a dismissal of intervention responses gets
possible [18]. Interaction strategies may also influence a
driver’s behavior in case of a conflict. Thus, if they are
allowed to, drivers may take over control, if not, they
may reject the use of the system.</p>
          <p>Further, for example, poor communication between
the driver and the HAV, such as a lack of clear and
concise instructions or feedback, can lead to confusion and
frustration on the part of the driver, which may also lead
to conflicts.</p>
          <p>Thus, HVI and communication strategy are key factors
that can impact the development of conflicts between
drivers and HAVs. Therefore, it is necessary both to
consider possible interaction strategies during conflict
research and when designing future interaction strategies
not to neglect their conflict potentials.</p>
        </sec>
      </sec>
      <sec id="sec-2-3">
        <title>Automated vehicles are developed aiming for a safe, efifcient way of traveling. However, a vehicle follows objectives such as providing convenience, reliability, and accessibility.</title>
        <p>Those goals are aimed at the passengers on the one
hand, but also at the environment and the community.
For example, safety should be ensured for the passengers
but obviously also for other road users and the general
public. Thus, there are potential conflicts between the
driver and the public good predominance in vehicle
design. For example, if passenger comfort is maximized,
the overall trafic speeds may be decreased, and if the
highest value is the protection of passengers the crash
risk of other road users may increase [19].</p>
        <p>Passenger goals are highly dependent on individual
factors such as personality traits. Thus, sensation-seeking
passengers probably aim for a high user experience and
driving fun, perhaps demanding a faster and riskier
driving style. Compared to environmentally conscious
people, who may have a sustainable and economical ride as
their goal, whereby tend to demand a conscious,
fueleficient driving style.</p>
        <p>If a vehicle does not know these goals and the derived
interests of the driver, they may conflict with the standard
behavior of the vehicle.</p>
        <p>In addition, the goals of each agent can contradict each
other and as a result, must be prioritized depending on
the situation. In certain cases, diferent priorities set by
the driver and the vehicle can therefore also lead to a
conflict.</p>
        <sec id="sec-2-3-1">
          <title>2.4. Vehicle Capabilities and Passenger’s</title>
        </sec>
        <sec id="sec-2-3-2">
          <title>Expectations</title>
        </sec>
      </sec>
      <sec id="sec-2-4">
        <title>Even if higher-level goals are inherently the same, con</title>
        <p>lficts can still arise because both parties simply perceive
and project situations diferently.</p>
        <p>This can lead to diferences between the driver’s
desired behavior and the actual behavior of the vehicle, but
also between the behavior expected by the driver and
the actual behavior of the vehicle. These diferences are
directly related to a vehicle’s capabilities, but more
importantly, the capabilities expected by the driver. For
example, a driver who misunderstands the capabilities of
the HAV may become frustrated when the vehicle does
not perform as they expect. What plays a major role here
is a driver’s previous experience, trust, and acceptance
of the vehicle.</p>
        <p>A vehicle’s sensing and reasoning capabilities could
potentially generate interpretations of situations and plans
of action that will be more efective than that of a driver.</p>
        <p>
          However, this could also lead to conflicts if the driver
cannot understand exactly why the vehicle is acting in
this way. For example, if the vehicle overtakes another design, without generating undue friction with the
objeccar despite poor visibility due to weather conditions [
          <xref ref-type="bibr" rid="ref2">2</xref>
          ]. tives of the driver. Further, the correlation between the
common good and the relationship and roles between
2.5. Context the driver and the vehicle needs to be examined. This
requires Human-Computer Interaction (HCI) based,
leSituational context and environment can play a signif- gal, and ethical considerations. Questions that arise and
icant role in the development of conflicts by afecting need to be clarified are: How unethical requests from a
human and vehicle factors. driver should be handled [23]? Should these be rejected?
        </p>
        <p>
          The behavior in driver-vehicle cooperation is, for in- What might a rejection look like that the driver accepts?
stance, influenced by the perceived environmental con- Unethical requests include, for instance, those that ask
text, such as weather conditions [
          <xref ref-type="bibr" rid="ref2">2</xref>
          ], road conditions, or the vehicle to act unlawfully or that willfully
disadvanthe behavior of other road users in mixed trafic. But also tage other road users. Another question is if the driver
drivers’ situational context, such as time pressure, stress, can be overridden in certain situations, what should such
or a negative emotional state afects a driver’s behavior a situation look like and how should such a process be
and the expectations of the vehicle’s behavior, and thus, handled?
needs to be considered in conflict research. The theory on the sense of agency has to be considered
here as well. It refers to the subjective experience of
con3. Challenges and Research trol and influence over actions and their outcomes [ 24].
        </p>
        <p>In a restrictive and rejecting vehicle driver’s sense of
Directions agency may be impacted, which also may lead to
conlficts when the driver perceives a loss of control over the
vehicle.</p>
      </sec>
      <sec id="sec-2-5">
        <title>As seen multiple factors can play a role in conflict development. In the next step, we will derive challenges and possible future research directions.</title>
        <sec id="sec-2-5-1">
          <title>3.1. Conflict Prevention</title>
        </sec>
      </sec>
      <sec id="sec-2-6">
        <title>In order to resolve or even prevent conflicts successfully,</title>
        <p>
          To prevent conflicts from emerging, we see it as essential the vehicle needs to be seen as reliable, trustworthy, and
to agree on common goals beforehand, to establish an acceptable. One way to achieve this is to make use of
psyequal understanding of the situation, and to transpar- chological conflict resolution strategies that are derived
ently communicate the vehicle’s capabilities and its be- from human strategies of social influence. This is already
havior/next steps in an appropriate manner. A large num- a large field in Human-Robot Interaction (HRI), based
ber of studies are currently dealing with how to achieve a on the assumption that HCI is fundamentally social [25],
shared situation representation (e.g., [
          <xref ref-type="bibr" rid="ref6">6, 20, 21, 22</xref>
          ]). We, which allows transferring social psychology strategies.
thus, rather see a gap in research particularly in shared Therefore, HRI research explores if it might be acceptable
goal setting and especially in how community goals can and efective if robots mimic human conflict resolution
be negotiated eficiently without losing trust and accep- behavior and act like human interaction partners,
considtance towards the system. ering, for instance, persuasive strategies, assertiveness,
        </p>
        <p>
          In order to actually be able to prevent conflicts success- and negotiation (e.g., [26, 27, 28, 29]).
fully, we also see it as indispensable to gain knowledge HCI research has also addressed conflicts by
incorabout the driver’s individual factors that influence their porating social psychological strategies into the vehicle
situation awareness, decision, and performance of ac- (e.g., [
          <xref ref-type="bibr" rid="ref6">13, 6</xref>
          ]). To date, however, strategies have been
tions, such as personal goals, automation experience, or studied only isolated and primarily in situations where
driving abilities. However, since this is extremely com- the vehicle is perceived by the driver to be unreliable.
plex, we do not expect that conflicts can be completely Thus, the strategies should aim to avoid unsafe takeover
avoided, so research on how to deal with them is highly maneuvers from the driver. There remains a research
important. gap for other strategies and types of conflicts, e.g., goal
conflicts, and how strategies can be utilized to enforce
3.2. Authority Allocation community goals when they are not aligned with the
driver’s personal goals.
        </p>
        <p>Autonomous vehicles are required to be programmed In HRI, it is further confirmed that the success of
psybased on ethical and community goals to ensure safe and chological resolution strategies depends on the
relationeficient trafic [ 19]. It needs to be determined to what ship between humans and robots [27]. So it further stands
extent the common good can be elevated in automobile to reason that this also applies to HVI. A possible
research question here could be how, for instance, vehicle</p>
        <sec id="sec-2-6-1">
          <title>3.3. Psychological Conflict Resolution</title>
        </sec>
        <sec id="sec-2-6-2">
          <title>Strategies</title>
          <p>assertiveness afects the acceptance of the vehicle in
different ownership models.</p>
        </sec>
        <sec id="sec-2-6-3">
          <title>3.4. Post Conflict</title>
        </sec>
      </sec>
      <sec id="sec-2-7">
        <title>The resolution of conflicts can have significant implica</title>
        <p>tions for both the driver and the vehicle. How conflicts
are handled by HAVs and if they were resolved
successfully can have long-term impacts on driver behavior and
the perceived reliability and trust in the automation
system.</p>
        <p>The impact of resolved and unresolved conflicts on
driver behavior and how the vehicle should adapt its
behavior accordingly needs to be explored. By addressing
questions such as, how the behavior of drivers does adopt
after resolved and unresolved conflicts, or how should
the vehicle adjust its behavior in response to conflicts
without being perceived as inconsistent?</p>
        <sec id="sec-2-7-1">
          <title>3.5. The Good Conflict?</title>
        </sec>
      </sec>
      <sec id="sec-2-8">
        <title>In human-human interaction, conflicts can also yield</title>
        <p>positive efects, such as increased productivity, positive
interpersonal outcomes (e.g., development of better
communication strategies), or constructive organizational
changes [30]. We wonder if the same is applicable to
HVI. For example, can actively communicating the
recognition of a conflict before it is resolved demonstrate a
vehicle’s situation awareness and ability to compromise
and cooperate in order to enhance trust, perceived
reliability, and acceptance? Or can a conflict lead to a better
understanding of the driver’s goals and interests and help
avoid similar conflicts in the future?</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>4. Conclusion</title>
      <sec id="sec-3-1">
        <title>Conflicts are an inevitable part of human automation</title>
        <p>interaction, including those between drivers and HAVs.
They are a critical issue that can lead to safety-critical
situations, decreased trust, negative emotions, and
nonacceptance and thus stand in strong opposition to
successful automation engagement. Through this position
paper, we have identified factors that contribute to
conlfict emergence in HVI and derived challenges and
research directions. By emphasizing the importance of
considering identified conflict development factors, our
work can contribute to future conflict research in HVI
and ultimately help to ensure conflictless automation
engagement.</p>
      </sec>
    </sec>
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