Losing Her Voice - public dataset ================================= Losing Her Voice is a contemporary opera composed and written by Elizabeth Kelly (University of Nottingham), about the life of American opera singer, silent film star and early recording artist Geraldine Farrar. This dataset is anonymised data from the premiere performances: - Saturday 6th May 2019 14:30 BST - Sunday 7th May 2019 19:00 BST In the Djanogly Theatre, DH Lawrence Pavilion, Lakeside Arts University Park Nottingham NG7 2RD UK It includes all anonymised audience data: questionnaire responses, interview transcript and audience server logs. The files are: - "Losing Her Voice survey.pdf" - the audience questionnaire. - "Losing Her Voice survey anon coded.csv" - all responses to the questionnaire, in CSV format (unicode, comma-separated). See details below. - "Losing Her Voice Audience Interview Schedule.pdf" - schedule of questions for semi-structured audience interviews. - Losing Her Voice Audience Interview Transcripts.txt" - anonymised transcripts of audience interviews - "audience-20190404T162124104Z.log.gz" - log file from audience server including second performance, gzipped JSON. See details below. - "audience-20190406T200402389Z.log.gz" - log file from audience server including second performance, gzipped JSON. See details below. - "audience-local-config.json" - configuration file needed for audience server log processing, JSON. See details below. - "audience-logs-perclient.csv" - raw output from processing audience server logs (above), in CSV format (unicode, comma-separated). See details below. - "audience-apps-use-by-time.xlsx" - spreadsheet derived from "audience-logs-perclient.csv" including macros to calculate published summary information. Survey Details ============== The first 10 rows (with "Unique Response Number") were completed online; the remainder on paper and hand-entered. The columns are: - "Unique Response Number" - from online survey tool - "1. I understand and agree." - Q1 full response - "agree" - Q1 coded, "Yes" or "No" - "2. What is your sex?" - Q2 full response - "sex" - Q2 coded, "F" (female) or "M" (male) - "3. What is your age?" - Q3 full response - "age" - Q3 coded, ("1" = <18) "2" = 18-29, "3" = 30-49, "4" = 50-64, "5" = 65+ - "4. How would you rate your knowledge of opera?" - Q4 - "opera" - Q4 coded, "0" = none, "1" = a little, "2" = moderate, "3" = good - "5. Have you ever heard an opera by a living composer before?" - Q5 full response - "living" - Q5 coded, "Yes" or "No" - "6. Would you be interested in attending another opera by a living composer?" - Q6 full response - "another" - Q6 coded, "Yes" or "No" - "7. How would you rate your knowledge of technology?" - Q7 full response - "technology" - Q7 coded, "0" = none, "1" = a little, "2" = moderate, "3" = good - "8. Which performance(s) have you seen?" - Q8 full response - "rehearsal" - Q8 seen dress rehearsal coded, "1" = yes, "0" = no - "first" - Q8 seen first performance coded, "1" = yes, "0" = no - "second" - Q8 seen second performance coded, "1" = yes, "0" = no - "9. Did you have access to the mobile app before or during the performance?" - Q9 full response - "haveapp" - Q9 coded, "Yes" or "No" - "10. To what extent did you enjoy the performance?" - Q10 full response - "enjoy" - Q10 coded, "0" = not at all, "1" = a little, "2" = "a moderate amount", "3" = a lot - "11. To what extent did the mobile app enhance the performance?" - Q11 full response - "appenhance" - Q11 coded, "0" = not at all, "1" = a little, "2" = "a moderate amount", "3" = a lot - "12. To what extent did the projected visuals enhance the performance?" - Q12 full response - "visualenhance" - Q12 coded, "0" = not at all, "1" = a little, "2" = "a moderate amount", "3" = a lot - "13. To what extent did the mobile app distract from the performance?" - Q13 full response - "adddistract" - Q13 coded, "0" = not at all, "1" = a little, "2" = "a moderate amount", "3" = a lot - "14. To what extent did the projected visuals distract from the performance?" - Q14 full response - "visualdistract" - Q14 coded, "0" = not at all, "1" = a little, "2" = "a moderate amount", "3" = a lot - "15. Compared to other operas (or similar) that you have been to did you feel more or less involved in this performance?" - Q15 full response - "involved" - Q15 coded, "-2" = much less, "-1" = slightly less, "0" = neither, "1" = slightly more, "2" = More more - "16. How much did you use the app before the first act?" - Q16 full response - "appbefore" - Q16 coded, "0" = not at all, "1" = a little, "2" = a moderate amount, "3" = Most of the time, "No App" = indicated elsewhere they did not have access to the app - "17. How much did you use the app during the first act?" - Q17 full response - "appact1" - Q17 coded, as Q16 - "18. How much did you use the app during the interval?" - Q18 full response - "appinterval" - Q18 coded, as Q16 - "19. How much did you use the app during the second act?" - Q19 full response - "appact2" - Q19 coded, as Q16 - "20. To what extent did the pre-show and interval information in the app enhance your experience of the opera?" - Q20 full response - "info" - Q20 coded, "0" = not at all, "1" = a little, "2" = "a moderate amount", "3" = a lot - "21. To what extent did contributing a selfie enhance your experience of the opera?" - Q21 full response - "selfie" - Q21 coded, as Q20 - "22. To what extent did the social media posts in the app enhance your experience of the opera?" - Q2 full response - social" - Q22 coded, as Q20 - "23. To what extent did the app playing music at the end enhance your experience of the opera?" - Q23 full response - "music" - Q23 coded, as Q20 - "24. Do you have any comments on why you used the app like you did?" - Q24 full response (anonymised) - "25. Overall, what did you particularly like about the performance?" - Q25 full response (anonymised) - "26. Overall, what did you particularly dislike about the performance, or what would make it better?" - Q26 full response (anonymised) - "27. Do you have any other comments or suggestions?" - Q27 full response, anonymised - "CompletionDate" - completion date (online responses only) - "Notes" - any research team notes, e.g. incomplete responses - "paper" - whether the response was on paper ("Yes") or online ("No") Log file details ================ For audience server log file format, see https://github.com/cgreenhalgh/losing-her-voice/blob/master/audience-server/README.md The log files are processed (together with the local-config file) by the script https://github.com/cgreenhalgh/losing-her-voice/blob/master/logtools/src/clients.ts - see https://github.com/cgreenhalgh/losing-her-voice/blob/master/logtools/README.md for usage information. This generates clients.csv, which has one row per client, summarising various aspects of app use, including: - client id (clientId) - show (performance) - earliest use time (minTime) - latest use time (maxTime) - screen name (user_name) - the time for which each view is visible (e.g. pages:0) - numbers of social media actions performed (e.g. A2S2-simple_64) Please refer to the code and the log file format for more details.