How is your user feeling? Inferring emotion through human-computer interaction devices

Author: Martin Hibbeln

main argument

• Cursor movement can be used to track users’ emotions
  • Unobtrusive and mass-deployable
• Purpose: to identify segments of interaction that induce negative emotion

conclusion

• Negative emotions decreases cursor speed and increases distance travelled

supporting arguments

• Positive emotions influences acceptance and use
• Negative emotions influence
  • Intentions to use
  • Use
  • Disclosure of information
  • Online purchases
• Distraction is more likely to catch attention
  • Less focused
  • Subconsciously programs hand movement → less accurate

discussion

• Only examines goal-directed tasks
  • Not experiential tasks
    • Primarily motivated by movement, not outcome

terms and themes

• Attentional control theory

methods and theory

• Negative emotions have selective, direct connections to brain structures that mediate motor responses

questions

• Does negative emotion influence mouse cursor distance and speed?
• Can the tracking and analysis of mouse cursor distance and speed be used to infer negative emotion?