5 research outputs found
Promoting Bright Patterns
User experience designers are facing increasing scrutiny and criticism for
creating harmful technologies, leading to a pushback against unethical design
practices. While clear-cut harmful practices such as dark patterns have
received attention, trends towards automation, personalization, and
recommendation present more ambiguous ethical challenges. To address potential
harm in these "gray" instances, we propose the concept of "bright patterns" -
persuasive design solutions that prioritize user goals and well-being over
their desires and business objectives. The ambition of this paper is threefold:
to define the term "bright patterns", to provide examples of such patterns, and
to advocate for the adoption of bright patterns through policymaking.Comment: For associated website, see https://brightpatterns.org/. Published to
the CHI '23 Workshop: Designing Technology and Policy Simultaneousl
Towards Prototyping Driverless Vehicle Behaviors, City Design, and Policies Simultaneously
Autonomous Vehicles (AVs) can potentially improve urban living by reducing
accidents, increasing transportation accessibility and equity, and decreasing
emissions. Realizing these promises requires the innovations of AV driving
behaviors, city plans and infrastructure, and traffic and transportation
policies to join forces. However, the complex interdependencies among AV, city,
and policy design issues can hinder their innovation. We argue the path towards
better AV cities is not a process of matching city designs and policies with
AVs' technological innovations, but a process of iterative prototyping of all
three simultaneously: Innovations can happen step-wise as the knot of AV, city,
and policy design loosens and tightens, unwinds and reties. In this paper, we
ask: How can innovators innovate AVs, city environments, and policies
simultaneously and productively toward better AV cities? The paper has two
parts. First, we map out the interconnections among the many AV, city, and
policy design decisions, based on a literature review spanning HCI/HRI,
transportation science, urban studies, law and policy, operations research,
economy, and philosophy. This map can help innovators identify design
constraints and opportunities across the traditional AV/city/policy design
disciplinary bounds. Second, we review the respective methods for AV, city, and
policy design, and identify key barriers in combining them: (1) Organizational
barriers to AV-city-policy design collaboration, (2) computational barriers to
multi-granularity AV-city-policy simulation, and (3) different assumptions and
goals in joint AV-city-policy optimization. We discuss two broad approaches
that can potentially address these challenges, namely, "low-fidelity
integrative City-AV-Policy Simulation (iCAPS)" and "participatory design
optimization".Comment: Published to the CHI '23 Workshop: Designing Technology and Policy
Simultaneousl
VR Job Interview Using a Gender-Swapped Avatar
Virtual Reality (VR) has emerged as a potential solution for mitigating bias
in a job interview by hiding the applicants' demographic features. The current
study examines the use of a gender-swapped avatar in a virtual job interview
that affects the applicants' perceptions and their performance evaluated by
recruiters. With a mixed-method approach, we first conducted a lab experiment
(N=8) exploring how using a gender-swapped avatar in a virtual job interview
impacts perceived anxiety, confidence, competence, and ability to perform.
Then, a semi-structured interview investigated the participants' VR interview
experiences using an avatar. Our findings suggest that using gender-swapped
avatars may reduce the anxiety that job applicants will experience during the
interview. Also, the affinity diagram produced seven key themes highlighting
the advantages and limitations of VR as an interview platform. These findings
contribute to the emerging field of VR-based recruitment and have practical
implications for promoting diversity and inclusion in the hiring process.Comment: CSCW 2022 Poster