Incorporating emotion and personality-based analysis in user-centered modelling
- Authors: Mostafa, Mohamed , Crick, Tom , Calderon, Ana C. , Oatley, Giles
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 36th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence AI 2016; SGAI 2016. 2016-11-05; p. 383-389
- Full Text: false
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- Description: Understanding complex user behaviour under various conditions, scenarios and journeys is fundamental to improving the user-experience for a given system. Predictive models of user reactions, responses—and in particular, emotions—can aid in the design of more intuitive and usable systems. Building on this theme, the preliminary research presented in this paper correlates events and interactions in an online social network against user behaviour, focusing on personality traits. Emotional context and tone is analysed and modelled based on varying types of sentiments that users express in their language using the IBM Watson Developer Cloud tools. The data collected in this study thus provides further evidence towards supporting the hypothesis that analysing and modelling emotions, sentiments and personality traits provides valuable insight into improving the user experience of complex social computer systems.
On average, a professional rugby union player is more likely than not to sustain a concussion after 25 matches
- Authors: Rafferty, James , Ranson, Craig , Oatley, Giles , Mostafa, Mohamed , Mathema, Prabhat , Crick, Tom , Moore, Isabel
- Date: 2019
- Type: Text , Journal article
- Relation: British Journal of Sports Medicine Vol. 53, no. 15 (2019), p. 969-973
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- Reviewed:
- Description: To investigate concussion injury rates, the likelihood of sustaining concussion relative to the number of rugby union matches and the risk of subsequent injury following concussion. A four-season (2012/2013-2015/2016) prospective cohort study of injuries in professional level (club and international) rugby union. Incidence (injuries/1000 player-match-hours), severity (days lost per injury) and number of professional matches conferring a large risk of concussion were determined. The risk of injury following concussion was assessed using a survival model. Concussion incidence increased from 7.9 (95% CI 5.1 to 11.7) to 21.5 injuries/1000 player-match-hours (95% CI 16.4 to 27.6) over the four seasons for combined club and international rugby union. Concussion severity was unchanged over time (median: 9 days). Players were at a greater risk of sustaining a concussion than not after an exposure of 25 matches (95% CI 19 to 32). Injury risk (any injury) was 38% greater (HR 1.38 95% CI 1.21 to 1.56) following concussion than after a non-concussive injury. Injuries to the head and neck (HR 1.34 95% CI 1.06 to 1.70), upper limb (HR 1.59 95% CI 1.19 to 2.12), pelvic region (HR 2.07 95% CI 1.18 to 3.65) and the lower limb (HR 1.60 95% CI 1.21 to 2.10) were more likely following concussion than after a non-concussive injury. Concussion incidence increased, while severity remained unchanged, during the 4 years of this study. Playing more than 25 matches in the 2015/2016 season meant that sustaining concussion was more likely than not sustaining concussion. The 38% greater injury risk after concussive injury (compared with non-concussive injury) suggests return to play protocols warrant investigation.