Presentation Inputlog 6.0: state of the art Reference: Leijten, M., & Van Waes, L. (2014). Inputlog 6.0: state of the art. Paper presented at the Keystroke Logging Training School 2014, Antwerp. 14/04/2014 Introduction of Inputlog 6 INPUTLOG 6.0 Overview Program a research tool for logging and analyzing writing process data 1. 2. 3. 4. 5. 6. Record Settings Preprocess Analyze Postprocess Play Free download on www.inputlog.net Flow of Inputlog 2 Flow of Inputlog Year Version Explanation 2014 Inputlog 6 linguistic analyses (additional server and user accounts) token analysis bigram analysis fluency analysis segmentation of idfx files database of users via Inputlog website 2013 Inputlog 5.2 extended pause analysis file level conversion merging with Tobii eyetracking merging with Dragon Naturally Speaking recode of sources pre‐processing continue logging flow use existing documents 2011 Inputlog 5 reprogrammed in C# 64 bit compatible independent of Windows and Office version used S‐notation and revision analysis focus analysis identification of copy/paste contents batch processing event Filter integrated replay (basic functionalities) bug fixes: e.g. character count and position 3 Flow: Graphic representation Iterative cycles original idfx ~ analyses filtered idfx ~ analyses recoded idfx ~ analyses 4 Trainingschool keystroke logging | Antwerp 5 1 14/04/2014 Interface Menu bar 1 - options Grouped versus ungrouped keys General Logging Analyses 5 tabs and 3 toolbar menus 8 7 Menu bar 2 - services The same general analyses: Ungrouped My account In the grouped view all ID’s related to the Lshift are not shown (ID11-ID68) 9 Menu bar 3 - help INPUTLOG Help Explanations, Descriptions, Instruction, Definitions Account settings My account > 100 pages of information 10 Trainingschool keystroke logging | Antwerp Grouped 11 12 2 14/04/2014 Inputlog Help Preprocess INPUTLOG Preprocess Filter – Recode – Segment – Convert 13 Filter Recode Recode Select one or multiple files to recode Tip: group the new idfx-files in a new folder Trainingschool keystroke logging | Antwerp 16 15 Create new groups 18 19 3 14/04/2014 Recode Segment The recoded idfx‐files can be saved at a new location You use the Time Filtered and Recoded files as new input for analyses Convert Select the original idfx‐file that you would like to segment Choose whether you would like to include the initial pause Choose your key delimiter 21 20 Merge eyetracking You can merge data with the Tobii eyetracker General analyses + eye tracking 22 General analyses - condensed Data needs to be structured in a specific way An offset between Inputlog and Tobii is calculated Two type of merges can be performed General analyses including detailed event based eye tracking information General analyses including aggregated eye tracking information Elaborated information in the Inputlog manual Trainingschool keystroke logging | Antwerp 23 24 25 4 14/04/2014 Record INPUTLOG | Record INPUTLOG | Analyze a research tool for logging and analyzing writing process data a research tool for logging and analyzing writing process data 27 Analyze Analyze 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 29 Trainingschool keystroke logging | Antwerp Analyses | session identification General General – Condensed Eyetracking Linear Process Graph Summary Pause Revision S‐Notation Source Linguistic Token analyzer Fluency Bigram Technical information about logging Content information about logging 30 5 14/04/2014 General analyses General analyses General analysis Addition of characters from Internet explorer General analysis: Revisions incl. General analysis: Revisions output a SPACE t e s t LSHIFT . LCTRL LSHIFT [10:15] test. LEFT SPACE n e w SPACE END SPACE 35 Trainingschool keystroke logging | Antwerp position doclength 8 9 10 11 12 13 14 14 15 15 10 10 10 11 12 13 14 15 20 9 10 11 12 13 14 15 15 16 16 16 16 16 17 18 19 20 21 21 RevisionNumber RevisionPos ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ ‐ 1 B 1 M 1 M 1 M 1 M 1 M 1 M 1 M 1 E ‐ ‐ ‐ ‐ Summary analysis RevisionType PRODUCTION PRODUCTION PRODUCTION PRODUCTION PRODUCTION PRODUCTION PRODUCTION PRODUCTION INSERT INSERT INSERT INSERT INSERT INSERT INSERT INSERT INSERT PRODUCTION PRODUCTION Perspectives Product Process Product/Process Process time Writing mode 36 6 14/04/2014 Summary analysis: Product/Process Summary analysis Linear analysis Be aware that these automatic calculations might not be what you want to work with. E.g. Active writing time is not the sum of all action times Average pause time varies if you select a filter (e.g. All input modes 24s, only key strokes 40s) General advice Check summary analysis with the purpose of your research question. Perform small test sessions to understand the output of the data. Linear analysis { # } pause time in milliseconds [ BACK ] events other that character production < text > insertion of copied text Process graph Pause analysis 42 Trainingschool keystroke logging | Antwerp 7 14/04/2014 Pause analyses: within and between words Pause analysis: periods | intervals Revision matrix Threshold 200ms 45 S-notation Revision: heatmap Revision: heatmap 48 Trainingschool keystroke logging | Antwerp 49 8 14/04/2014 Revision: heatmap Token analysis Token analysis erg; bezielt; is; het helemaal; vernietigd; terwijl; zijn erg; beangstigd; maar; hij prinses; vermomt; gaat; de wedstrijd; bezeert; kan; hij … Dictation: Dutch spelling – verb endings 1. De∙oude∙Egyptenaren∙konden∙hun∙piramides∙bouwen∙aan∙de∙hand∙van∙ ingenieuze∙bouwtechnieken∙ 2. De∙restaurantuitbater∙maakte∙zich∙grote∙zorgen∙over∙de∙aangekondigde∙ bouwwerken∙in∙zijn∙straat∙ 3. In∙de∙wachtkamer∙van∙de∙dokter∙keek∙ze∙nostalgisch∙naar∙de∙oude∙ sms‐jes∙van∙haar∙vriendje∙ ID 4. Aangezien∙zijn∙toespraak∙de∙hele∙aula∙erg∙bezielt∙is∙het∙niet∙ verrassend∙dat∙iedereen∙laaiend∙enthousiast∙is∙ 1 bezielt bezielt∙ g∙beziel[d∙]t∙ 2 vernietigd vernietigd∙ l∙vernietigd∙ 3 beangstigd beangstigd∙ g∙beangstigd∙ 5. Toen∙de∙gemaskeerde∙man∙haar∙vastgreep∙hapte∙het∙meisje∙angstvallig∙ naar∙adem∙ 50 Bigram analysis Produced S‐Notation 4 vermomt vermomt∙ s∙vermom[d∙]t[[∙],]∙ 5 bezeert bezeert∙ d∙bezeert∙ Revisions 18‐I 45‐I 46‐I 47‐I Digr_1 Pause_1 Digr_2 Pause_2 Digr_3 g∙ 156 ∙b 203 be l∙ 62 ∙v 125 ve Pause_3 109 g∙ 125 ∙b 218 be 156 141 s∙ 140 ∙v 109 ve 110 d∙ 187 ∙b 78 be 172 52 51 Bigram analysis 53 Trainingschool keystroke logging | Antwerp Thanks to Nina Verhaert & Master students MPC Target Aangezien∙zijn∙toespraak∙de∙ hele∙aula∙erg∙bezielt∙is∙het∙niet∙ verrassend∙dat∙iedereen∙laaiend∙ enthousiast∙is∙ Bigram analysis 54 55 9 14/04/2014 Bigram analysis Process graph: sources 56 Source analyses (grouped) Source analyses (full) 57 Source analyses (grouped) Fluency analysis Change default optimum. This is optimum is stored for each participant. Trainingschool keystroke logging | Antwerp 61 10 14/04/2014 Personal optimum Change default optimum. This is optimum is stored for each participant. Task optimum 62 Postprocess INPUTLOG Postprocess The current Task Optimum becomes the Personal Optimum for this participant 63 Horizontal merging Vertical merging Pause analyses & Summary analyses 66 Trainingschool keystroke logging | Antwerp 11 14/04/2014 Postprocessing Postprocessing 69 Merging Outputs merging 70 INPUTLOG | Play Play 74 Trainingschool keystroke logging | Antwerp 12 14/04/2014 Play: video Trainingschool keystroke logging | Antwerp 13
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