TY - GEN
T1 - On capturing older adults’ smartphone keyboard interaction as a means for behavioral change under emotional stimuli within i-PROGNOSIS framework
AU - Hadjidimitriou, Stelios
AU - Iakovakis, Dimitrios
AU - Charisis, Vasileios
AU - Dias, Sofia B.
AU - Diniz, José A.
AU - Mercier, Julien
AU - Hadjileontiadis, Leontios J.
N1 - Funding Information:
This work has received funding from the EU H2020-PHC-2015, grant agreement No. 690494: ‘i-PROGNOSIS’ project ( www.i-prognosis.eu ). Finally, the authors would like to thank the six participants for their collaboration in this study.
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - The unobtrusive use of smartphone technology, as a facilitator and as a means of capturing the daily activities, can be seen as a great challenge in routine monitoring and in promoting behavioural change in older adults. In the present study, a protocol of a sequence of emotional stimuli database was combined with a sequence of emotion-free text typing using a dedicated keyboard of a smartphone and used for capturing the users’ patterns of typing, in terms of hold time (HT), alteration time (AT) and pressure (PR) of each key. Six older adults (three male/female) were employed in the study and sequences of images with facial expressions of Ekman’s six basic emotions (with the addition of the neutral one) were used as stimuli in a three-trial fashion. Statistical analysis of HT, AT and PR data revealed differences in the typing due to emotions alteration, setting a new domain for the analysis and behavioural modeling of older adults’ typing patterns under specific emotional stimuli. This combinatory approach amongst emotional and physical status could be adopted in the field of intelligent monitoring of the healthy ageing and could be extended to elderlies’ pathology cases, such as Parkinson’s disease, as approached by the i-PROGNOSIS initiative.
AB - The unobtrusive use of smartphone technology, as a facilitator and as a means of capturing the daily activities, can be seen as a great challenge in routine monitoring and in promoting behavioural change in older adults. In the present study, a protocol of a sequence of emotional stimuli database was combined with a sequence of emotion-free text typing using a dedicated keyboard of a smartphone and used for capturing the users’ patterns of typing, in terms of hold time (HT), alteration time (AT) and pressure (PR) of each key. Six older adults (three male/female) were employed in the study and sequences of images with facial expressions of Ekman’s six basic emotions (with the addition of the neutral one) were used as stimuli in a three-trial fashion. Statistical analysis of HT, AT and PR data revealed differences in the typing due to emotions alteration, setting a new domain for the analysis and behavioural modeling of older adults’ typing patterns under specific emotional stimuli. This combinatory approach amongst emotional and physical status could be adopted in the field of intelligent monitoring of the healthy ageing and could be extended to elderlies’ pathology cases, such as Parkinson’s disease, as approached by the i-PROGNOSIS initiative.
KW - Emotional states
KW - Healthy ageing
KW - i-PROGNOSIS
KW - Key alteration time
KW - Key hold time
KW - Key pressure
KW - Older adults
KW - Smartphone keyboard typing
UR - https://www.scopus.com/pages/publications/85025146317
U2 - 10.1007/978-3-319-58706-6_28
DO - 10.1007/978-3-319-58706-6_28
M3 - Conference contribution
AN - SCOPUS:85025146317
SN - 9783319587059
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 346
EP - 356
BT - Universal Access in Human-Computer Interaction
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
PB - Springer Verlag
T2 - 11th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017
Y2 - 9 July 2017 through 14 July 2017
ER -