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BabyTalk-Clan First Year Presentation

BabyTalk-Clan First Year Presentation. Wendy Moncur Universities of Aberdeen & Dundee Supervisors: Ehud Reiter & Judith Masthoff. BabyTalk-Clan. Introduction Summary of Research Areas Current Research Research Direction. Who is this research about?.

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BabyTalk-Clan First Year Presentation

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  1. BabyTalk-ClanFirst Year Presentation Wendy Moncur Universities of Aberdeen & Dundee Supervisors: Ehud Reiter & Judith Masthoff

  2. BabyTalk-Clan • Introduction • Summary of Research Areas • Current Research • Research Direction

  3. Who is this research about?

  4. BabyTalk: Tailoring reports about babies in Neonatal Intensive Care Data about the baby Medical staff Sensor readings Data Interpretation & NLG processing Tailored reports Heart rate, breathing,… Event records Medication, lab results, equipment settings. Parents, friends & family

  5. BabyTalk: Tailoring reports about babies in Neonatal Intensive Care Data about the baby Medical staff Sensor readings Data Interpretation & NLG processing Tailored reports Heart rate, breathing,… Event records Web/ mob phone text Medication, lab results, equipment settings. Parents, friends & family

  6. BabyTalk-Clan (BT-Clan) Objectives • Part of the BabyTalk project • Communicate tailored updates about the baby to family & friends • Mobilise emotional support for parents • Parents may be too busy /upset to communicate info themselves • NLG application • Adaptation to recipient • Adaptation to parents’ requirements • Deliver web/ mobile phone texts to friends & family

  7. The Problem: Mobilising Emotional Support in a Crisis • The newbornbaby is the parents’ priority. • Parents benefit from the emotional support of friends and family. • If they are to give support, friends and family first need to know that something is wrong. • BT-Clan can mobilise support.

  8. BabyTalk-Clan • Introduction • Summary of Research Areas • Social networks • Affective NLG • Personalisation for eHealth • Current Research • Research Direction

  9. Research Area:Social Networks • Describe relationships between people or groups (Churchill et al, 2005) • Applications • Social - Friendster, FlickR • Business – LinkedIn • Psychology – social support

  10. Research Area:Social Networks • Describe relationships between people or groups • Applications • Social - Friendster, FlickR • Business – LinkedIn • Psychology – social support • But ... • Don’t map social closeness. • Don’t know how to acquire this data Tie Node Hi Sam, I’ll meet you at 8, ok? Flow

  11. Research Area:Social Networks • Social Networks studied by psychologists “…provision of psychological and material resources intended to benefit an individual’s ability to cope with stress.” (Cohen 2004). • Social support can be : • Instrumental – provision of material aid • Informational – advice, guidance • Emotional – empathy, caring, chance to express feelings • Emotional support reduces stress • Most effective when provided by friends and family, rather than clinicians or support groups. • BT-Clan aims to mobilise emotional support in the social network

  12. Research Area:Affective NLG NLG (Natural Language Generation) • Tailored, comprehensible text from underlying knowledge base Affective NLG: • Portrays emotional state of interlocutor • Induces emotional effect on hearer • Goal = believability • Early days as a research area

  13. Research Area:Affective NLG Research Directions: Detect the emotional state of the user (de Rosis, Mellish 2007) • Physiological tests – cortisol, electromyography, heart rate, … • Validated questionnaires – Big 5, PANAS, HADS, EPDS… • Only detect relevant emotions/ traits • We will use questionnaires - EPDS & HADS - to establish degree of depression of parents: this affects how they communicate.

  14. Research Area:Affective NLG Research Directions:Develop goals involving emotional state (de Rosis, Mellish 2007) • Advice-giving. E.g. - STOP tailored letters for smoking cessation (Reiter, Robertson et al. 2003) • Intelligent tutoring (Lester et al, 2000). • Adaptation to anxiety and belief state (Hudlicka, McNeese M.D. 2002; Fleischman, Hovy 2002). • Social interaction and amusement (Binsted, Bergen et al. 2006; Sundström 2005) • BT-Clan: Tailor information appropriately for recipients according to social closeness.

  15. Friends across the country. They’ve all been phoning, asking how me & Emma are doing. Me, Jane. Anxious. Too tired to phone anyone right now. Husband. He’s been keeping everyone up-to-date about Emma. Colleagues. I went into labour at work. They are worried about me & the baby. My mother-in-law. Housebound. Worries a lot. Our beautiful baby, Emma , born 10 weeks premature. My mum. I tell her everything. Husband’s best friend. Brother. Single, lives in Australia. Friend. She doesn’t have kids, and is always busy. Figure 1: “My social network” by Jane, mother of Baby Emma Research Area:Affective NLG George has been changed from nasal CPAP to ventilation. He has been in oxygen between 25 and 40%. George has been given a dose of replacement surfactant. He has been started on morphine to keep him comfortable. He has been started on vecuronium to keep him from moving and fighting the ventilator. He has been started on dopamine to help his blood pressure. Research Directions: use language in a directed way to achieve goals involving emotional state(de Rosis, Mellish 2007) Medical summary report on ‘test’ baby George, supplied by current system. (Links to glossary underlined). George has been changed from nasal CPAP to ventilation. He has been in oxygen between 25 and 40%. George has been given a dose of replacement surfactant. He has been started on morphine to keep him comfortable.He has been started on vecuronium to keep him from moving and fighting the ventilatorHe has been started on dopamine to help his blood pressure. George has been changed from nasal CPAP to ventilation. He has been in oxygen between 25 and 40%. George has been given a dose of replacement surfactant. He has been started on morphine to keep him comfortable.He has been started on vecuronium to keep him from moving and fighting the ventilatorHe has been started on dopamine to help his blood pressure. George has been changed from nasal CPAP to ventilation. He has been in oxygen between 25 and 40%. George has been given a dose of replacement surfactant. He has been started on morphine to keep him comfortable.He has been started on vecuronium to keep him from moving and fighting the ventilatorHe has been started on dopamine to help his blood pressure. George has been changed from nasal CPAP to ventilation. He has been in oxygen between 25 and 40%. George has been given a dose of replacement surfactant. He has been started on morphine to keep him comfortable.He has been started on vecuronium to keep him from moving and fighting the ventilatorHe has been started on dopamine to help his blood pressure.

  16. Research Area:Personalisation for eHealth • Patients prefer personalised information(Cawsey, Jones et al. 2000) • Personalised information seen as more relevant(Bental 1998) • Affective NLG can be used to tailor info in the health domain(Grasso,Cawsey et al. 2005). • No work on patients’ supporters yet, but …. “…the caregiver is no longer a bystander in ….care, but is an actual or potential ‘co-user’ or 'co-client’ of services.”(O'Mara 2005) • BT-Clan considers personalisation for patient supporters

  17. BabyTalk-Clan • Introduction • Summary of Research Areas • Current Research • Research Direction

  18. Initial Research • Prototyped a simple modelling tool to capture social closenesss. • Tested with parents who have had babies in NICU in the past. N=7 (2 male, 5 female). • Simplified for usability • Button for baby at centre • Explored how these dynamics influenced information transmission from parents.

  19. A mother’s social network * Note: Photos are not of the real individuals concerned.

  20. Possible report tailoring by band of social network

  21. Results: Factors that affected information dissemination. • Social closeness affected by: • Circumstances • Ability to cope “My husband’s mum is elderly & house bound. We didn’t tell her too much. We didn’t want to worry her.”Mother of twins

  22. Results: Factors that affected information dissemination. • Demand for news • Time “She’s his godmother, but she wasn’t interested.” Mother of boy born with operative condition

  23. Small study More work needed Men’s maps simpler – consistent with psychology findings Results: Effect of gender • “You know how it is with men… they don’t tell you anything.” Mother of baby born at 36 weeks gestation

  24. Results: ‘Information brokers’ • Nominated by the mother. • Responsible for communication. • Know her social network intimately. • Make judgements on what information to give. “…she phoned everyone for us.” Father of baby born at 36 weeks

  25. Discussion of Research • Uniqueness of individual social network • Autonomy for parents • Encourage contact - Information push & pull

  26. Relevance • Consistency of findings • Education, employment, etc • People set boundaries according to closeness • Correlation between social closeness and information given • BT-Clan will use this model in further research – focus groups and diaries.

  27. BabyTalk-Clan • Introduction • Summary of Research Areas • Current Research • Research Direction • Mobilising emotional support through affective NLG. • Generalisability of approach

  28. Research Direction Evaluate accuracy with clinicians Sample data about babies • Data gathering - Focus groups, • Diaries NLG Prototyping User testing – parents, clan.

  29. Generalisation • We all edit information according to the recipient. • Possible applications: • Health: an adult Intensive care patient struggles to communicate for themself. • Industry: Dissemination of corporate information to management hierarchy & staff • Social: University students updating family and friends on personal news.

  30. Thank-you

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