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Emotion in Action: Driving Simulator Technique

Emotion in Action: Driving Simulator Technique . Edelle McMahon & Roddy Cowie School of Psychology Queen’s University Belfast. What we mean by emotion in action (and how it relates to databases). In everyday life, emotion shapes ongoing activities Research is drawn to ‘pure’ episodes

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Emotion in Action: Driving Simulator Technique

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  1. Emotion in Action: Driving Simulator Technique Edelle McMahon & Roddy Cowie School of Psychology Queen’s University Belfast

  2. What we mean by emotion in action(and how it relates to databases) • In everyday life, emotion shapes ongoing activities • Research is drawn to ‘pure’ episodes • BUT normally, emotion is coexisting with other plans, agendas, demands • and what happens is an outcome of interactions • Conversation is one instance of interaction • SAL etc let us study that context • But it’s not the only one

  3. What we mean by emotion in action(and how it relates to databases) • We hypothesise it affects other aspects of life by affecting cognition • probably not whole story (motivation to make something happen), but a big part • The results are distinctive actions • e.g. Aristotle’s ‘impulses; ben Ze’ev’s ‘partiality’ • And may play a big part in recognising emotion

  4. What we mean by emotion in action(and how it relates to databases) • We want to understand these effects • not just episodes where expressing emotion is top of the agenda • Practically important – • we can’t assume direct transfer from situations where emotion is be-all & end-all • we may misinterpret apparently ‘pure’ cases • We need data that allows us to study these effects • Drive sim is a context – but also an application in itself

  5. The events we can study with STISIM • Aspects of driving • Dangerous driving • Overcautious driving • Indicators of cognitive processes • Attention • Decision-making • Direct signs of emotion • Vocal, facial, physiological, behavioural • STISIM a good platform - can monitor a range of emotion outcomes

  6. Inducing emotion • Desiderata i) naturalness ii) rigour • Policy • we have tried i), and it’s messy • Ii) will need tweaking • Choices • Velten • Computer game • PLUS repeat & reinforce

  7. Data issues • primary records (raw data) give • audio-visual • full transcript of driving • physiological records • analysis needed to create useful features

  8. Useful Features: Physiological • ECG: • Heart Rate, Heart Rate Diff., Beat Magnitude • GSR: • GSR Level, GSR Diff • RESP: • Breath Rate, Breath Rate Diff., Breath Magnitude • Skin Temp: • Temp Level, Temp Diff

  9. Useful Features: Performance • Implicit Driving Performance: • Acceleration • Deceleration • Lateral Velocity • Lateral acceleration • Steering effort • Steering change • Throttle level • Throttle change • Abrupt throttle change (surge) • Braking intensity • Braking intensity change • Explicit Driving Performance: • Pedestrian risk • Out of lane • Off road • Over speed limit • Crashes

  10. Plan of work • consultation with partners – get it right! • pilot work on inducing • experiments proper

  11. Thank you!

  12. Contact me on…. e.m.mcmahon@qub.ac.uk

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