Drone Awareness and Perceptions: A Three Country Study 2014

Transcription

1 Drone Awareness and Perceptions: A Three Country Study 2014 User Guide Questionnaire Codebooks (Canada, United States, United Kingdom) Angus Reid Global Vision Critical Data Services, Queen s University Library 2014

2 TABLE OF CONTENTS Introduction... 2 Metadata... 2 Related Publications... 3 Documentation... 3 Questionnaire... 4 Codebook - Canada Codebook United States Codebook United Kingdom Citation

3 INTRODUCTION This survey aimed to understand awareness and perceptions surrounding the use of drones to identify and collect information in Canada, United States, and United Kingdom. The questions asked individuals whether they had a basic awareness of various Unmanned Aerial Vehicles (UAV) applications, as well as assessed support for how they are being used and in what scenarios. The survey was conducted by the polling company Vision Critical in January 2014 based on a set of questions developed by the Surveillance Drones Research Team, Surveillance Studies Centre, Queen s University. There are three separate data files for this survey Canada, United States, and United Kingdom. METADATA Sample Participants for Angus Reid Global surveys are taken from American, British, and Canadian adults who are members of the Springboard America, Springboard UK, and Angus Reid Forum panels. An online survey was completed with a balanced random sampling of online panels in each country. Sample size Canada = 3045 United Kingston = 2008 United States = 3022 Methodology A split cell (monadic) design was used to separate perceptions surrounding forms of information identification and collection in general from perceptions surrounding information identification and collection when drones are used. Within each country, interviews were randomly split into one of four cells and respondents were asked to respond to one of four surveillance related topics. Steps were taken to ensure even distribution based on completed interviews. Piloted Aircraft These questions were about the use of piloted aircraft in information identification and collection for a range of purposes. Piloted aircraft include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots onboard the aircraft. (Canada n=761; UK n=502; US n=760) Unmanned Aerial Vehicles These questions are about the use of unmanned aerial vehicles in information identification and collection for a range of purposes. Unmanned aerial vehicles also known as drones or 2

4 remotely piloted vehicles include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots who are not onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. (Canada n=761; UK n=502; US n=751) Autonomous Unmanned Aerial Vehicles These questions are about the use of autonomous unmanned aerial vehicles in information identification and collection for a range of purposes. Autonomous unmanned aerial vehicles also known as drones include aerial vehicles such as planes and helicopters, of various sizes, operated by an onboard computer without a pilot controlling the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. (Canada n=762; UK n=500; US n=753) Control These questions are about information identification and collections for a range of purposes. (Canada n=761; UK n=504; US n=758) Geographic Coverage Canada, US, UK Weight Post data collection, results were weighted to match population age, gender, and regional distribution. RELATED PUBLICATIONS Surveillance Drones: Privacy Implications of the Spread of Unmanned Aerial Vehicles (UAVs) in Canada. A Report to the Office of the Privacy Commissioner of Canada, under the Contribution Program. April Drone Awareness and Perceptions: A Three Country Study Vision Critical powerpoint DOCUMENTATION Tables Canada Tables UK Tables USA 3

5 QUESTIONNAIRE [INTRODUCTION SCREEN] [Programmer, show version based on cell] Version 1: Piloted Aircraft These questions are about the use of piloted aircraft in information identification and collection for a range of purposes. Piloted aircraft include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. Version 2: Unmanned Aerial Vehicles These questions are about the use of unmanned aerial vehicles in information identification and collection for a range of purposes. Unmanned aerial vehicles also known as drones or remotely piloted vehicles include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots who are not onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. Version 3: Autonomous Unmanned Aerial Vehicles These questions are about the use of autonomous unmanned aerial vehicles in information identification and collection for a range of purposes. Autonomous unmanned aerial vehicles also known as drones include aerial vehicles such as planes and helicopters, of various sizes, operated by an onboard computer without a pilot controlling the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. Version 4: Control These questions are about information identification and collection for a range of purposes. 4

6 Section 1: Basic Awareness The goal of this question is to have people state what areas they feel that drones are currently being used for in Canada. The edited list that we have below is taken from a Transport Canada web page and, according to our current understanding, they are all things that drones are currently being used for in Canada. In this question we are looking to get a sense of people s awareness regarding drone use. [Question format: CARD SORT] Q1_General_Awareness [Programmer based on cell, replace question text in square brackets] Thinking of [piloted aircraft / unmanned aerial vehicles / autonomous unmanned aerial vehicles / DO NOT SHOW THIS SENTENCE AT ALL FOR CONTROL] use in [based on country: Canada/the US/the UK] For which of the following purposes, if any, is information currently collected or identified [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] in [based on country: Canada/the US/the UK]? [BUCKETS] Yes No Unsure [RANDOMIZE CARDS] Police and Border Security [DO NOT SHOW HEADER ONSCREEN] Law enforcement (active operations or investigations) Border patrol General surveillance over public spaces (e.g. patrols, crime prevention monitoring) Traffic and accident surveillance Emergency Services [DO NOT SHOW HEADER ONSCREEN] Fire fighting, monitoring, and management Emergency and disaster monitoring Search and rescue Scientific and Environmental [DO NOT SHOW HEADER ONSCREEN] Agricultural and geological surveying Atmospheric weather and climate assessment Oceanographic research Cartography and mapping Other Private Use [DO NOT SHOW HEADER ONSCREEN] Survey and inspection of remote power lines and pipelines Aerial photography Mineral exploration Non Data Uses [DO NOT SHOW HEADER ONSCREEN] Promotion and advertising Agricultural spraying Package delivery (e.g. delivering small online purchases like books) 5

7 Section 2: What Drones Are, How they are Being Used, and Scenarios The goal of this question is to gain an understanding of how comfortable people are with the data collection capabilities of drones, and then place this ability within specific institutions and for specific uses. A previous poll of Canadians conducted in Jan 2013 by Phoenix found that people were very comfortable with almost all institutions using drones in Canada. Our hope was to bring greater complexity to the question by inserting the capacity of data collection and the reasons that various institutions would be using UAV. [Question format: VISUAL SINGLE CHOICE GRID] Q2_Unspecified_UAV_Use [Programmer based on cell, replace question text in square brackets] To what extent do you support or oppose each of the following groups collecting or identifying information in [based on country: Canada/the US/the UK] [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] Law enforcement Government intelligence services/agencies Government border/coastal security organizations Private investigators Industry and private companies Individuals / hobbyists Universities and academic researchers Emergency responders (Fire / Ambulance) Journalists and media [Research note: Keep in mind the sample audience consists of members from a market research panel. Members opt-in to regularly receive online surveys.] 6

8 [Programmer: Show question 3a-c all on one page, randomize order of a-d on page.] [Question format: VISUAL SINGLE CHOICE GRID] Q3a_Specified_LawEnforce_Use [Programmer based on cell, replace question text in square brackets] This question is about law enforcement in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]. To what extent do you support or oppose law enforcement in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] for each of the following purposes? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] To issue speeding tickets For crowd control at political demonstrations For personal identification at political demonstrations For crowd control at sporting events For personal identification at sporting events In hostage situations In routine city patrols Monitoring individuals during criminal investigations At the Pan Am Games in 2015 Finding missing persons Traffic collision reconstruction Disaster response Routine emergency response (fire, medical, etc.) Locating objects such as suspicious packages or potential explosives Automated-license plate recognition 7

9 [Question format: VISUAL SINGLE CHOICE GRID] Q3b_Specified_Industry_Use [Programmer based on cell, replace question text in square brackets] This question is about Industry and Private Companies in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]. To what extent do you support or oppose Industry and Private Companies in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] for each of the following purposes? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] For market research and advertising For corporate security purposes For private security purposes For personal security purposes To investigate, survey, and patrol mining, fishing, or oil extraction areas 8

10 [Question format: VISUAL SINGLE CHOICE GRID] Q3c_Specified_Industry_Use [Programmer based on cell, replace question text in square brackets] This question is about Government Border/Coastal Security Organizations in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]. To what extent do you support or oppose Government Border/Coastal Security Organizations in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] for each of the following purposes? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] To help with search and rescue (Canadian Border Services) for border patrol, including the patrolling of the arctic [ask in Canada only] (United States government) for patrolling along the US/Canadian border [ask in Canada and US only] (United States government) for patrolling across both sides of the US/Canadian border (Canadian government) for patrolling along the US/Canadian border [ask in Canada and US only] (Canadian government) for patrolling across both sides of the US/Canadian border [ask in Canada and US only] (UK government) for patrolling along the UK/French border [ask in UK only] (UK government) for patrolling across both sides of the UK/French border [ask in UK only] (French government) for patrolling along the UK/French border [ask in UK only] (French government) for patrolling across both sides of the UK/French border [ask in UK only] 9

11 [Question format: VISUAL SINGLE CHOICE GRID] Q4_Practices [Programmer based on cell, replace question text in square brackets] Regardless of who collects the information, or for what purpose, to what extent do you support or oppose [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] in each of the following scenarios? Collecting or identifying information [RANDOMIZE ROWS] Using an aerial vehicle that is flying so high, or is so small, that you cannot see it Using an aerial vehicle that can see into your home through the use of infrared sensors And then sharing your data with the United States government or US Department of Homeland Security And then sharing your data with the Canadian government [Ask in Canada and US only] And then sharing your data with the UK government [Ask in UK only] And then sharing your data with the French government [Ask in UK only] [COLUMNS] 1 Oppose completely 10 Support completely 10

12 CODEBOOK - CANADA Number of cases = 3045 Number of variables = 85 DEMOGRAPHIC AND GEOGRAPHIC VARIABLES gender Position 2 Gender 1 Male % 2 Female % Q5_Federal_Vote_2011 Position 3 Did you vote in the last FEDERAL election in May 2011? 1 Yes % 2 No % Q6_Federal_PartyChoice_2011 Missing Position 4 Who did you vote for in the last FEDERAL Election? 1 Conservative Party of Canada % 2 Liberal Party of Canada % 3 New Democratic Party % 4 Green Party of Canada % 5 Bloc Québécois % 6 Other % System % Age_Rollup_broad Position 5 Age_Rollup_broad 1 Under % % % % 11

13 Income Missing Position 6 Income 1 <$50K % 2 $50-99K % 3 $100K % 4 DK/REF % HH_Income Position 7 Household Income 1 Less than $25, % 2 $25,000 to less than $35, % 3 $35,000 to less than $50, % 4 $50,000 to less than $75, % 5 $75,000 to less than $100, % 6 $100,000 to less than $125, % Missing 7 $125,000 or more % 8 Don't know/prefer not to say % Education_Level Position 8 Education 1 Elementary/grade school or some high school % 2 High school graduate % 3 Some college / technical school % 4 Completed college / technical school % 5 Some university % 6 University undergraduate degree % 7 Some post-graduate school % 8 Post-graduate degree % 12

14 Region_Rollup Position 9 Region_Rollup 1 BC % 2 Alberta % 3 SK % 4 MB % 5 ON % 6 QC % 7 Atlantic % 8 Territories 0 0.0% MACRO_REGION Position 10 MACRO_REGION 1 Vancouver % 2 BC Other % 3 Calgary % 4 Edmonton % 5 AB Other % 6 Regina / Saskatoon % 7 SK Other % 8 Winnipeg % 9 MB Other % 10 Toronto % 11 Ottawa - Hull % 12 ON Other % 13 Montréal % 14 Québec % 15 QC Other % 16 Halifax % 17 ATL Other % 18 North 0 0.0% Home_Ownership Position 11 Home Ownership 1 Own % 2 Rent % 3 Other % 13

15 Working_Status Position 12 1 Employment Status Employed / self-employed full-time (30 or more hours per week) % 2 Employed / self-employed part-time (fewer than 30 hours per week) % 3 Full-time student % 4 Homemaker % 5 Retired % 6 Currently looking for work % 7 Not working for medical reasons % 8 Other % Marital_Status Missing Position 13 Marital status 1 Single, never married % 2 Common law % 3 Civil partnership % 4 Married % 5 Separated % 6 Divorced % 7 Widowed % System % HHKids Missing Position 14 HHKids 1 Yes % 2 No % System % Urban_Rural Position 15 Urban_Rural % % 14

16 Country Position 16 Country 1 Canada % 2 US 0 0.0% 3 UK 0 0.0% Country_Pipe Position 18 Country_Pipe 1 Canada % 2 the US 0 0.0% 3 the UK 0 0.0% Cell Position 17 Cell 1 Piloted Aircraft % 2 Unmanned Aerial Vehicles % 3 Autonomous Unmanned Aerial Vehicles % 4 Control % Cell_Pipe1 Position 19 Cell_Pipe1 1 piloted aircraft % 2 unmanned aerial vehicles % 3 autonomous unmanned aerial vehicles % % Cell_Pipe2 Position 20 Cell_Pipe2 1 using piloted aircraft % 2 using unmanned aerial vehicles % 3 using autonomous unmanned aerial vehicles % % 15

17 GENERAL AWARENESS Q1_General_Awareness_0 Position 21 Law enforcement (active operations or investigations) 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_1 Position 22 Border patrol 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_2 Position 23 General surveillance over public spaces (e.g. patrols, crime prevention monitoring) 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_3 Position 24 Traffic and accident surveillance 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_4 Position 25 Fire fighting, monitoring, and management 1 Yes % 2 No % 3 Unsure % 16

18 Q1_General_Awareness_5 Position 26 Emergency and disaster monitoring 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_6 Position 27 Search and rescue 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_7 Position 28 Geological surveying 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_8 Position 29 Atmospheric weather and climate assessment 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_9 Position 30 Oceanographic research 1 Yes % 2 No % 3 Unsure % 17

19 Q1_General_Awareness_10 Position 31 Cartography and mapping 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_11 Position 32 Survey and inspection of remote power lines and pipelines 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_12 Position 33 Aerial photography 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_13 Position 34 Mineral exploration 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_14 Position 35 Agricultural surveying 1 Yes % 2 No % 3 Unsure % 18

20 Q1_General_Awareness_15 Position 36 Promotion and advertising 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_16 Position 37 Agricultural spraying 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_17 Position 38 Package delivery (e.g. delivering small online purchases like books) 1 Yes % 2 No % 3 Unsure % 19

21 UNSPECIFIED UAV USE Q2_Unspecified_UAV_Use_0 Position 39 Law enforcement Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_1 Position 40 Government intelligence services/agencies Oppose Completely % % % % % % % % % Support Completely % 20

22 Q2_Unspecified_UAV_Use_2 Position 41 Government border/coastal security organizations Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_3 Position 42 Private investigators Oppose Completely % % % % % % % % % Support Completely % 21

23 Q2_Unspecified_UAV_Use_4 Position 43 Industry and private companies Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_5 Position 44 Individuals / hobbyists Oppose Completely % % % % % % % % % Support Completely % 22

24 Q2_Unspecified_UAV_Use_6 Position 45 Universities and academic researchers Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_7 Position 46 Emergency responders (Fire / Ambulance) Oppose Completely % % % % % % % % % Support Completely % 23

25 Q2_Unspecified_UAV_Use_8 Position 47 Journalists and media Oppose Completely % % % % % % % % % Support Completely % 24

26 SPECIFIED LAW ENFORCEMENT USE Q3a_Specified_LawEnforce_Use_0 Position 48 To issue speeding tickets Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_1 Position 49 For crowd control at political demonstrations Oppose Completely % % % % % % % % % Support Completely % 25

27 Q3a_Specified_LawEnforce_Use_2 Position 50 For personal identification at political demonstrations Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_3 Position 51 For crowd control at sporting events Oppose Completely % % % % % % % % % Support Completely % 26

28 Q3a_Specified_LawEnforce_Use_4 Position 52 For personal identification at sporting events Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_5 Position 53 In hostage situations Oppose Completely % % % % % % % % % Support Completely % 27

29 Q3a_Specified_LawEnforce_Use_6 Position 54 In routine city patrols Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_7 Position 55 Monitoring individuals during criminal investigations Oppose Completely % % % % % % % % % Support Completely % 28

30 Q3a_Specified_LawEnforce_Use_8 Position 56 At the Pan Am Games in Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_9 Position 57 Finding missing persons Oppose Completely % % % % % % % % % Support Completely % 29

31 Q3a_Specified_LawEnforce_Use_10 Position 58 Traffic collision reconstruction Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_11 Position 59 Disaster response Oppose Completely % % % % % % % % % Support Completely % 30

32 Q3a_Specified_LawEnforce_Use_12 Position 60 Routine emergency response (fire, medical, etc.) Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_13 Position 61 Locating objects such as suspicious packages or potential explosives Oppose Completely % % % % % % % % % Support Completely % 31

33 Q3a_Specified_LawEnforce_Use_14 Position 62 Automated-license plate recognition Oppose Completely % % % % % % % % % Support Completely % 32

34 SPECIFIED INDUSTRY USE INDUSTRY AND PRIVATE COMPANIES Q3b_Specified_Industry_Use_0 Position 63 For market research and advertising Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_1 Position 64 For corporate security purposes Oppose Completely % % % % % % % % % Support Completely % 33

35 Q3b_Specified_Industry_Use_2 Position 65 For private security purposes Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_3 Position 66 For personal security purposes Oppose Completely % % % % % % % % % Support Completely % 34

36 Q3b_Specified_Industry_Use_4 Position 67 To investigate, survey, and patrol mining, fishing, or oil extraction areas Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_5 Position 68 Agricultural surveying Oppose Completely % % % % % % % % % Support Completely % 35

37 Q3b_Specified_Industry_Use_6 Position 69 Mineral exploration Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_7 Position 70 Survey and inspection of remote power lines and pipelines Oppose Completely % % % % % % % % % Support Completely % 36

38 SPECIFIED INDUSTRY USE GOVERNMENT BORDER/COASTAL SECURITY ORGANIZATIONS Q3c_Specified_Industry_Use_0 Position 71 To help with search and rescue Oppose Completely % % % % % % % % % Support Completely % Q3c_Specified_Industry_Use_1 Position 72 (Canadian Border Services) for border patrol, including the patrolling of the arctic Oppose Completely % % % % % % % % % Support Completely % 37

39 Q3c_Specified_Industry_Use_2 Position 73 (United States government) for patrolling ALONG the US/Canadian border Oppose Completely % % % % % % % % % Support Completely % Q3c_Specified_Industry_Use_3 Position 74 (United States government) for patrolling ACROSS both sides of the US/Canadian border Oppose Completely % % % % % % % % % Support Completely % 38

40 Q3c_Specified_Industry_Use_4 Position 75 (Canadian government) for patrolling ALONG the US/Canadian border Oppose Completely % % % % % % % % % Support Completely % Q3c_Specified_Industry_Use_5 Position 76 (Canadian government) for patrolling ACROSS both sides of the US/Canadian border Oppose Completely % % % % % % % % % Support Completely % 39

41 Q3c_Specified_Industry_Use_6 Missing Position 77 (UK government) for patrolling ALONG the UK/French border Oppose Completely 0 0.0% % % % % % % % % Support Completely 0 0.0% System % Q3c_Specified_Industry_Use_7 Missing Position 78 (UK government) for patrolling ACROSS both sides of the UK/French border Oppose Completely 0 0.0% % % % % % % % % Support Completely 0 0.0% System % 40

42 PRACTICES Q4_Practices_0 Position 79 Using an aerial vehicle that is flying so high, or is so small, that you cannot see it Oppose Completely % % % % % % % % % Support Completely % Q4_Practices_1 Position 80 Using an aerial vehicle that can "see" into your home through the use of infrared sensors Oppose Completely % % % % % % % % % Support Completely % 41

43 Q4_Practices_2 Position 81 And then sharing your data with the United States government or US Department of Homeland Security Oppose Completely % % % % % % % % % Support Completely % Q4_Practices_3 Position 82 And then sharing your data with the Canadian government Oppose Completely % % % % % % % % % Support Completely % 42

44 Q4_Practices_4 Missing Position 83 And then sharing your data with the UK government Oppose Completely 0 0.0% % % % % % % % % Support Completely 0 0.0% System % Q4_Practices_5 Missing Position 84 And then sharing your data with the French government Oppose Completely 0 0.0% % % % % % % % % Support Completely 0 0.0% System % WEIGHT wgt Position 85 Value Weight N 3045 Missing 0 43

45 CODEBOOK UNITED STATES Number of cases = 3022 Number of variables = 98 DEMOGRAPHIC AND GEOGRAPHIC VARIABLES Marital_Status Missing Position 2 Which of these best describes your marital status? 1 Single, never married % 2 Living with a significant other % 3 Married/Civil Partnership % 4 Separated % 5 Divorced % 6 Widowed % System 1.0% Gender Position 3 Gender 1 Male % 2 Female % Age Position 4 AGE % % % Age_Rollup_broad Position 5 Age_Rollup_broad 1 Under % % % % 44

46 agesex Position 6 Age_Gender 1 Male % 2 Male % 3 Male % 4 Female % 5 Female % 6 Female % Education_Level Position 7 Education Please select the highest level of education you've completed. 1 Less than 9th grade / 9th to 12th grade, no diploma % 2 High school graduate (includes equivalency) % 3 Some college, no degree % 4 Associate's degree % 5 Bachelor's degree % 6 Graduate or professional degree % Edu Position 8 Education 1 <=HS % 2 Coll/Associate % 3 Univ % HH_Income_MERGED Missing Position 9 HH_Income_MERGED 1 Less than $25, % 2 $25,000 to $49, % 3 $50,000 to $74, % 4 $75,000 to $99, % 5 $100,000 to $149, % 6 $150,000 or more % 7 Prefer not to say % 45

47 Income Missing Position 10 HH Income 1 <$25K % 2 $25K-<$50K % 3 $50K % 4 Refused % children Position 11 Are there any children living in your household under 18? 1 Yes % 2 No % HHKids Missing Position 12 HHKids 1 Yes % 2 No % System % HH_SIZE Position 13 These questions are important to ensure Springboard represents Americans from all demographics and backgrounds. How many people live in your household, including yourself? 1 1 person in household % 2 2 people in household % 3 3 people in household % 4 4 people in household % 5 5 people in household % 6 6 or more people in household % 46

48 haskids Position 14 Has Children Under 18 1 Yes % 2 No % Working_Status Position 15 1 Employment Status Please choose the option that best applies to you. Employed / self-employed full-time (30 or more hours per week) % 2 Employed / self-employed part-time (fewer than 30 hours per week) % 3 Full-time student % 4 Homemaker % 5 Retired % 6 Currently looking for work % 7 Not working for medical reasons % 8 Other % PID Position 16 Generally speaking, do you think of yourself as a...? 1 Democrat % 2 Republican % 3 Independent % 4 Not sure % 5 Other % HispanicLatino Position 17 Do you consider yourself to be Hispanic/Latino or of Hispanic/Latino origin? 1 Yes % 2 No % 47

49 Race_White Position 18 White 0 Not Selected % 1 Selected % Race_BlackorAfricanAmerican Position 19 Black or African American 0 Not Selected % 1 Selected % Race_AmericanIndianorAlaskaNative Position 20 American Indian or Alaska Native 0 Not Selected % 1 Selected % Race_Asian Position 21 Asian 0 Not Selected % 1 Selected % Race_NativeHawaiianorOtherPacificIslander Position 22 Native Hawaiian or Other Pacific Islander 0 Not Selected % 1 Selected 8.3% Race_OtherRace Position 23 Other Race 0 Not Selected % 1 Selected % 48

50 Hispanic Position 24 Hispanic/Non-hispanic background 1 Yes % 2 No % ethnic Position 25 Ethnicity 1 Black % 2 Hispanic % 3 White Only % 4 Asian/Native American/Other % region Position 26 Census Region_Rollup 1 Northeast % 2 Midwest % 3 South % 4 West % division Position 27 Census Division_Rollup 1 New England % 2 Middle Atlantic % 3 East North Central % 4 West North Central % 5 South Atlantic % 6 East South Central % 7 West South Central % 8 Mountain % 9 Pacific % 49

51 Country Position 28 Country 1 Canada 0 0.0% 2 US % 3 UK 0 0.0% Country_Pipe Position 29 Country_Pipe 1 Canada 0 0.0% 2 the US % 3 the UK 0 0.0% Intro_Text Position 30 1 Intro_Text These questions are about the use of piloted aircraft in information identification and collection for a range of purposes. Piloted aircraft include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only % 2 3 These questions are about the use of unmanned aerial vehicles in information identification and collection for a range of purposes. Unmanned aerial vehicles also known as drones or remotely piloted vehicles include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots who are not onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. These questions are about the use of autonomous unmanned aerial vehicles in information identification and collection for a range of purposes. Autonomous unmanned aerial vehicles also known as drones include aerial vehicles such as planes and helicopters, of various sizes, operated by an onboard computer without a pilot controlling the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only % % 4 These questions are about information identification and collection for a range of purposes % 50

52 Cell Position 31 Cell 1 Piloted Aircraft % 2 Unmanned Aerial Vehicles % 3 Autonomous Unmanned Aerial Vehicles % 4 Control % Cell_Pipe1 Position 32 Cell_Pipe1 1 piloted aircraft % 2 unmanned aerial vehicles % 3 autonomous unmanned aerial vehicles % % Cell_Pipe2 Position 33 Cell_Pipe2 1 using piloted aircraft % 2 using unmanned aerial vehicles % 3 using autonomous unmanned aerial vehicles % % 51

53 GENERAL AWARENESS Q1_General_Awareness_0 Position 34 Law enforcement (active operations or investigations) 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_1 Position 35 Border patrol 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_2 Position 36 General surveillance over public spaces (e.g. patrols, crime prevention monitoring) 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_3 Position 37 Traffic and accident surveillance 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_4 Position 38 Fire fighting, monitoring, and management 1 Yes % 2 No % 3 Unsure % 52

54 Q1_General_Awareness_5 Position 39 Emergency and disaster monitoring 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_6 Position 40 Search and rescue 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_7 Position 41 Geological surveying 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_8 Position 42 Atmospheric weather and climate assessment 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_9 Position 43 Oceanographic research 1 Yes % 2 No % 3 Unsure % 53

55 Q1_General_Awareness_10 Position 44 Cartography and mapping 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_11 Position 45 Survey and inspection of remote power lines and pipelines 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_12 Position 46 Aerial photography 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_13 Position 47 Mineral exploration 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_14 Position 48 Agricultural surveying 1 Yes % 2 No % 3 Unsure % 54

56 Q1_General_Awareness_15 Position 49 Promotion and advertising 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_16 Position 50 Agricultural spraying 1 Yes % 2 No % 3 Unsure % Q1_General_Awareness_17 Position 51 Package delivery (e.g. delivering small online purchases like books) 1 Yes % 2 No % 3 Unsure % 55

57 UNSPECIFIED UAV USE Q2_Unspecified_UAV_Use_0 Position 52 Law enforcement Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_1 Position 53 Government intelligence services/agencies Oppose Completely % % % % % % % % % Support Completely % 56

58 Q2_Unspecified_UAV_Use_2 Position 54 Government border/coastal security organizations Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_3 Position 55 Private investigators Oppose Completely % % % % % % % % % Support Completely % 57

59 Q2_Unspecified_UAV_Use_4 Position 56 Industry and private companies Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_5 Position 57 Individuals / hobbyists Oppose Completely % % % % % % % % % Support Completely % 58

60 Q2_Unspecified_UAV_Use_6 Position 58 Universities and academic researchers Oppose Completely % % % % % % % % % Support Completely % Q2_Unspecified_UAV_Use_7 Position 59 Emergency responders (Fire / Ambulance) Oppose Completely % % % % % % % % % Support Completely % 59

61 Q2_Unspecified_UAV_Use_8 Position 60 Journalists and media Oppose Completely % % % % % % % % % Support Completely % 60

62 SPECIFIED LAW ENFORCEMENT USE Q3a_Specified_LawEnforce_Use_0 Position 61 To issue speeding tickets Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_1 Position 62 For crowd control at political demonstrations Oppose Completely % % % % % % % % % Support Completely % 61

63 Q3a_Specified_LawEnforce_Use_2 Position 63 For personal identification at political demonstrations Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_3 Position 64 For crowd control at sporting events Oppose Completely % % % % % % % % % Support Completely % 62

64 Q3a_Specified_LawEnforce_Use_4 Position 65 For personal identification at sporting events Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_5 Position 66 In hostage situations Oppose Completely % % % % % % % % % Support Completely % 63

65 Q3a_Specified_LawEnforce_Use_6 Position 67 In routine city patrols Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_7 Position 68 Monitoring individuals during criminal investigations Oppose Completely % % % % % % % % % Support Completely % 64

66 Q3a_Specified_LawEnforce_Use_8 Position 69 At the Pan Am Games in Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_9 Position 70 Finding missing persons Oppose Completely % % % % % % % % % Support Completely % 65

67 Q3a_Specified_LawEnforce_Use_10 Position 71 Traffic collision reconstruction Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_11 Position 72 Disaster response Oppose Completely % % % % % % % % % Support Completely % 66

68 Q3a_Specified_LawEnforce_Use_12 Position 73 Routine emergency response (fire, medical, etc.) Oppose Completely % % % % % % % % % Support Completely % Q3a_Specified_LawEnforce_Use_13 Position 74 Locating objects such as suspicious packages or potential explosives Oppose Completely % % % % % % % % % Support Completely % 67

69 Q3a_Specified_LawEnforce_Use_14 Position 75 Automated-license plate recognition Oppose Completely % % % % % % % % % Support Completely % 68

70 SPECIFIED INDUSTRY USE INDUSTRY AND PRIVATE COMPANIES Q3b_Specified_Industry_Use_0 Position 76 For market research and advertising Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_1 Position 77 For corporate security purposes Oppose Completely % % % % % % % % % Support Completely % 69

71 Q3b_Specified_Industry_Use_2 Position 78 For private security purposes Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_3 Position 79 For personal security purposes Oppose Completely % % % % % % % % % Support Completely % 70

72 Q3b_Specified_Industry_Use_4 Position 80 To investigate, survey, and patrol mining, fishing, or oil extraction areas Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_5 Position 81 Agricultural surveying Oppose Completely % % % % % % % % % Support Completely % 71

73 Q3b_Specified_Industry_Use_6 Position 82 Mineral exploration Oppose Completely % % % % % % % % % Support Completely % Q3b_Specified_Industry_Use_7 Position 83 Survey and inspection of remote power lines and pipelines Oppose Completely % % % % % % % % % Support Completely % 72

74 SPECIFIED INDUSTRY USE GOVERNMENT BORDER/COASTAL SECURITY ORGANIZATIONS Q3c_Specified_Industry_Use_0 Position 84 To help with search and rescue Oppose Completely % % % % % % % % % Support Completely % Q3c_Specified_Industry_Use_1 Missing Position 85 (Canadian Border Services) for border patrol, including the patrolling of the arctic Oppose Completely 0 0.0% % % % % % % % % Support Completely 0 0.0% System % 73