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Study         MACREDIE
Research      The influence of gender on communication efficiency and effectiveness.
Question      Are males better at route tasks with a partner?
Sample Size   56 participants (31 males and 25 females) – from a UK university (various
              departments) – random grouping
Experiment    • Wizard of Oz experiment (2 people interact; one of whom thinks they are
                talking to a system) – Masking gender & seated in separate rooms
              • Instructors were made to believe they were talking to a robot + they had no
                dialogue or script
              • User had to guide robot to 6 designated locations (in fictitious town)
              • Only instructors had view of the map and destinations
              • They were talking to a robot, so they could not assume that there was shared
                knowledge.
              • MM/MF/FM/FF – pairings
              • Custom system developed for real time text communication
              • System kept a log of dialogue & kept a log of the robot co-ordinates each time
                a message was sent (meaning that they can analyse the text description)
              • User controlled robot with arrow keys
              • Users were given verbal and written instructions and a demonstration
              • They were informed that the robot could learn routes – so they wont guess it’s
                a human
              • They can use forward, back, left and right, but not north, south…. (reducing
                confusion)
Study         MACREDIE
Lit review    • Strengths
                  • 15 references in quite a small ‘background’ / lit review section
                  • Type of paper
              • Weaknesses
                  • A lot of references supported by Allen and Denis
Data          • Study yielded 160 dialogues, 1460 instruction units
Analysis      • Quantitative analysis of relevant data (time taken to complete task, number of
                words, turns and instructions in each dialogue)
              • Qualitative discourse analysis (number of miscommunication; granularity of
                instructions)
Results from • Gender and role both have significant impact
analysis     • Female instructors had to give less information when the follower was male
             • Male robots/followers had the leased execution errors and misunderstandings
             • Previous studies predict male superiority in both roles – mixed pairs actually
               exceeded or matched male performance
Study         ELLIMAN
Research      What are the gaps in the research area “ICT for governance and policy
Question      modelling”. What needs to be addressed
Sample Size   Not Applicable
Experiment    Not Applicable
Study          ELLIMAN
Lit review     • As a background section – 4 references but only an initial report
Data
Analysis
Results from
analysis
Study         LOUVIERIS
Research
Question
Sample Size
Experiment
Study          LOUVIERIS
Lit review     • As a background section – 4 references but only an initial report
Data
Analysis
Results from
analysis
Study         YOUNG
Research
Question
Sample Size
Experiment
Study          YOUNG
Lit review
Data
Analysis
Results from
analysis

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Advanced topics research

  • 1. Study MACREDIE Research The influence of gender on communication efficiency and effectiveness. Question Are males better at route tasks with a partner? Sample Size 56 participants (31 males and 25 females) – from a UK university (various departments) – random grouping Experiment • Wizard of Oz experiment (2 people interact; one of whom thinks they are talking to a system) – Masking gender & seated in separate rooms • Instructors were made to believe they were talking to a robot + they had no dialogue or script • User had to guide robot to 6 designated locations (in fictitious town) • Only instructors had view of the map and destinations • They were talking to a robot, so they could not assume that there was shared knowledge. • MM/MF/FM/FF – pairings • Custom system developed for real time text communication • System kept a log of dialogue & kept a log of the robot co-ordinates each time a message was sent (meaning that they can analyse the text description) • User controlled robot with arrow keys • Users were given verbal and written instructions and a demonstration • They were informed that the robot could learn routes – so they wont guess it’s a human • They can use forward, back, left and right, but not north, south…. (reducing confusion)
  • 2. Study MACREDIE Lit review • Strengths • 15 references in quite a small ‘background’ / lit review section • Type of paper • Weaknesses • A lot of references supported by Allen and Denis Data • Study yielded 160 dialogues, 1460 instruction units Analysis • Quantitative analysis of relevant data (time taken to complete task, number of words, turns and instructions in each dialogue) • Qualitative discourse analysis (number of miscommunication; granularity of instructions) Results from • Gender and role both have significant impact analysis • Female instructors had to give less information when the follower was male • Male robots/followers had the leased execution errors and misunderstandings • Previous studies predict male superiority in both roles – mixed pairs actually exceeded or matched male performance
  • 3. Study ELLIMAN Research What are the gaps in the research area “ICT for governance and policy Question modelling”. What needs to be addressed Sample Size Not Applicable Experiment Not Applicable
  • 4. Study ELLIMAN Lit review • As a background section – 4 references but only an initial report Data Analysis Results from analysis
  • 5. Study LOUVIERIS Research Question Sample Size Experiment
  • 6. Study LOUVIERIS Lit review • As a background section – 4 references but only an initial report Data Analysis Results from analysis
  • 7. Study YOUNG Research Question Sample Size Experiment
  • 8. Study YOUNG Lit review Data Analysis Results from analysis