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1.8  Understanding one research project in the context of related research  13




                  government policymakers in countries such as the United States and Sweden. Many
                  more areas exist where public policies have been created that influence HCI research
                  work, often (and unfortunately) without the benefit of feedback from the HCI commu-
                  nity. These areas where HCI research has been impacted include laws and regulations
                  for human subjects research, standards for measurement, areas of research funding,
                  language requirements for interface design, data privacy laws, and specific domains
                  such as e-government, education, libraries, voting, and healthcare (Lazar et al., 2016).
                  Because there is not an existing lobbying infrastructure, or entrenched interests on
                  most HCI-related topics, this is a great opportunity for HCI researchers to have a true
                  impact on public policies. Furthermore, some governments have legal limitations on
                  how much data can be collected from citizens, so research studies (even a usabil-
                  ity test involving 25 users) can be logistically hard for government to implement or
                  even get approval for. However, the requirements of a university Institutional Review
                  Board are often easier, and therefore, HCI researchers can often do data collection
                  to inform policymakers, that a government agency may simply not be allowed to do.
                     When trying to perform HCI research with the target audience of public poli-
                  cymakers, there are some logistical considerations to be aware of. Policymakers in
                  general, are very concerned with the number of people who are impacted (e.g., how
                  many children or people with disabilities are within their representation area), and
                  which specific laws or policies relate to your HCI work. So, computer scientists tend
                  to make generalizations about items outside of computer science (e.g., “there is a
                  law” or “lots of people”) but research targeted towards policymakers needs to be
                  much more specific in terms of coverage. In general, policymakers like longitudinal
                  research, because they like to know the trends in how people are being affected (e.g.,
                  is the situation getting better or worse?). Furthermore, it is important to understand
                  the timelines of policymakers (e.g., when public comments are due on a regula-
                  tory process, when legislation is being considered, when legal proceedings occur),
                  because, unlike in academia where there is always another conference to submit to,
                  or another journal to submit your research to, when dealing with the timelines of
                  policymakers, often there is no flexibility and if you miss a deadline, you will have
                  zero impact (Lazar, 2014). Policymakers are not likely to communicate in the same
                  way as researchers, so if you think that you can have an impact by just emailing or
                  skyping with a policymaker, or sending them your research paper, you are mistaken.
                  Policymakers tend to work only via face-to-face contact, so if you want to build
                  relationships with policymakers, you need to schedule an appointment to meet with
                  them. You also would be wise to provide summaries of research, designed for people
                  who do not have a background in your area of HCI research (Lazar, 2014).



                  1.8  UNDERSTANDING ONE RESEARCH PROJECT IN THE
                  CONTEXT OF RELATED RESEARCH

                  There is no such thing as a perfect data collection method or a perfect data collection
                  effort. All methods, all approaches, all projects have a flaw or two. One data  collection
                  effort does not lead to a definitive answer on a question of research. In scientific
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