Vocational identity trajectories: Differences in personality and development of well-being

This person-centred study investigated the longitudinal patterns of vocational identity development in relation to personality, the development of well-being, gender, nationality and the attended school track among two cohorts of Swiss adolescents in 8th or 9th grade (N = 269) and in 11th or 12th grade (N = 230). The results confirmed the existence of four identity statuses, namely, achievement, foreclosure, moratorium and diffusion. Forty-two per cent of students showed progressive patterns of identity development, while 37% remained in their identity status over time. Students with different statuses and status change patterns differed significantly in their personality traits. Higher neuroticism related to the emergence of identity exploration over time, while conscientiousness related to maintaining or achieving a sense of identity commitment in terms of achievement or foreclosure. Controlling for the effects of socio-demographics and personality traits, students who reached or maintained a state characterized by identity clarity and commitment showed a relative increase in life satisfaction, while those entering a state of identity crisis or exploration showed a decrease in life satisfaction. Copyright © 2011 John Wiley & Sons, Ltd.

Person-sensitive TAME marking in Galo: Historical origins and functional motivation

Scott DeLancey’s analysis of person-sensitive TAME marking in Lhasa Tibetan – “a.k.a. conjunct-disjunct marking” or “egophoricity” – has stimulated considerable discussion and debate, particularly as previously little-known languages of the Tibeto-Burman area, as well as outside it, have come to be described, and a wider range of functional factors have been taken into account. This chapter is intended as a contribution to this discussion, by presenting the first detailed analysis of person-sensitive TAME marking in a language of the Tani subgroup of Tibeto-Burman, namely Galo. Like Tournadre (2008), I find that person-sensitive TAME marking in Galo is not a grammaticalized index of person (“agreement”) nor of cross-clause subject continuity, but is instead a semantic index of an assertor’s knowledge state. Unlike in more westerly Tibeto-Burman languages, however, different construals of agency and/or volition do not seem to be factors in the Galo system. Thus, there are both similarities and differences underlying systems of person-sensitive TAME marking in different Tibeto-Burman languages; this suggests that further research - particularly, employing a diachronic perspective when possible - will be required before we can confidently characterize person-sensitive TAME marking from a pan-Tibeto-Burman (or broader) cross-linguistic perspective.

Passive wireless sensor systems can recognize activites of daily living

The ability to determine what activity of daily living a person performs is of interest in many application domains. It is possible to determine the physical and cognitive capabilities of the elderly by inferring what activities they perform in their houses. Our primary aim was to establish a proof of concept that a wireless sensor system can monitor and record physical activity and these data can be modeled to predict activities of daily living. The secondary aim was to determine the optimal placement of the sensor boxes for detecting activities in a room. A wireless sensor system was set up in a laboratory kitchen. The ten healthy participants were requested to make tea following a defined sequence of tasks. Data were collected from the eight wireless sensor boxes placed in specific places in the test kitchen and analyzed to detect the sequences of tasks performed by the participants. These sequence of tasks were trained and tested using the Markov Model. Data analysis focused on the reliability of the system and the integrity of the collected data. The sequence of tasks were successfully recognized for all subjects and the averaged data pattern of tasks sequences between the subjects had a high correlation. Analysis of the data collected indicates that sensors placed in different locations are capable of recognizing activities, with the movement detection sensor contributing the most to detection of tasks. The central top of the room with no obstruction of view was considered to be the best location to record data for activity detection. Wireless sensor systems show much promise as easily deployable to monitor and recognize activities of daily living.