Chapter outlines and bibliography

  1. Introduction (starting point, inspiration, study field)
  2. Relationship Prediction (contextual research)
    2.1 Dataclysm: what our online lives tell us about our offline selves
    2.2 Affective Forecasting: the possibility of emotion prediction
    2.3 Love Lab: what makes love last
  3. Disillusion Forecasting (my opinion)
    3.1 Expectations in Relationship
    3.2 Facing Imperfection
    3.3 Imperfect perfection?
  4. Conclusion

Research question

  1. If we have more understanding of human nature, will the human emotions be more predictable? Will predictions of future emotions assist us with better determination?
  2. Once the result of predictions do not satisfy our anticipations, how do we face the gap between hope and loss, deal with the response uncontrollable emotion?
  3. Even our relationship decline is indicated, provide the alert and recommendations by technology, are we able to address the imperfect relationship frankly?

Tutorial Feedback

  • Don’t be confused by the noun “big data”, it probably just the commercial trick to make people shopping more.
  • More research to define what kind of data related to the topic “disillusion forecasting”.
  • Disillusion should not be the opposite of illusion. It is not necessary to be linked to negative emotion as well while it means disappointment caused by unpleasant truth about something or someone that they had the good expectation before. The perspective I would like to focus on is how people view themselves, their partners, and the expectation in the relationship.
  • Descript the debatable question I would like to discuss rather than just come up with doubt.
  • The more specific direction of the work (will it be a service? product?…)
  • Notice the scale of group to collect the data
  • Imperfect perfection(wabi-sabi)
  • Think of virtual Mr. charming, can we create perfection (by computer science)?
  • BBC Secrets of the Sexes – How do we make the selection for the partner subconsciously?