Supplementary material for paper: Dell’Anna D, Murukannaiah PK, Dudzik B, Grossi D, Jonker CM, Oertel C, et al. Toward a Quality Model for Hybrid Intelligence Teams. In: Proceedings of the 23rd International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2024 # GENERAL INFORMATION ## Title Supplementary material for paper "Toward a Quality Model for Hybrid Intelligence Teams" # FILE OVERVIEW ``` AAMAS2024_Toward_HI_Quality_Model_Supplementary_Material │ README.md │ Group Discussion - Handout - Essentials # The printed version of the questionnaires (Essentials) and team descriptions handed out to the groups for the group discussion │ Group Discussion - Handout - Enablers # The printed version of the questionnaires (Enablers, except Coaching) and team descriptions handed out to the groups for the group discussion │ Group Discussion - Handout - Processes # The printed version of the questionnaires (Coaching and Key Task Processes) and team descriptions handed out to the groups for the group discussion │ Individual Response - Online Survey # A PDF version of the online survey └───Individual Response - Results # Excel file with all the responses of the participants from the online survey. Excel sheets are organized as follows RAW DATA # all the raw data from the survey RAW DATA TRANSPOSED # raw data with rows and columns inverted ALL TEAMS SCORES # quantitative results about adequacy for each feature: team scores and importance ALL FEEDBACK PER FEATURE # qualitative results about adequacy for each feature: grouped feedback participants forlatex # results in latex-ready form forspider # results in a form that supports easy creation of spider plot EFFECTIVENESS # quantitative results about effectiveness measures FINAL COMMENTS # final qualitative feedback from participants essentials # RAW DATA TRANSPOSED (essentials only) enablers # RAW DATA TRANSPOSED (enablers only) processes # RAW DATA TRANSPOSED (processes only) *_num_scores # * in {essentials, enablers, processes}, likert-to-numerical scores *_num_scores_annotatio # same as *_num_scores, just with numerical values instead of formulas ```