2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2021
DOI: 10.1109/cscwd49262.2021.9437883
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Conversational Agents for Elderly Interaction

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Cited by 4 publications
(23 citation statements)
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“…In the case of Romania, the average age is already 42 years old, and the most numerous age-range is 50–54 years old ( Dan, 2022 ). Furthermore, it is estimated that by 2050, 60% of the population will be over 65 years old ( Coman, 2021 ) and, thus, loneliness and isolation are predicted to deepen ( Da Paixão Pinto et al, 2021 ). This reality is believed to increase both the economic and social pressure, as there is a rise in public health expenditure ( Chen and Schulz, 2016 ; Fang and Chang, 2016 ; Segercrantz and Forss, 2019 ), a permanent need for improved healthcare assistance and assistive living, and a scarce of providers ( Hofmann, 2013 ; Bassi et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
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“…In the case of Romania, the average age is already 42 years old, and the most numerous age-range is 50–54 years old ( Dan, 2022 ). Furthermore, it is estimated that by 2050, 60% of the population will be over 65 years old ( Coman, 2021 ) and, thus, loneliness and isolation are predicted to deepen ( Da Paixão Pinto et al, 2021 ). This reality is believed to increase both the economic and social pressure, as there is a rise in public health expenditure ( Chen and Schulz, 2016 ; Fang and Chang, 2016 ; Segercrantz and Forss, 2019 ), a permanent need for improved healthcare assistance and assistive living, and a scarce of providers ( Hofmann, 2013 ; Bassi et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…To the best of our knowledge, there is a lack of studies that focus on the general use of chatbots by aging population, without particularly emphasizing the healthcare or assistive domains. One of the newest paper in this respect is a systematic literature review written by Da Paixão Pinto et al (2021) in which authors are interested in the engagement strategies of the chatbots, in their computational environments, in the input data format accepted, in the different types of personalization offered, and in the evaluation techniques for conversational agents. Being based on a systematic analysis of 53 papers, the main results of the study emphasize that personalization, context adaptation, a speech type input, and an intuitive system are at the core of an increased engagement and interaction with chatbots ( Da Paixão Pinto et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
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“…Studies of situation recognition include in-home fine-grained scenes (i.e., called context ) recognition [ 10 , 11 , 12 ]), nonintrusive quality characterization of postural changes [ 13 ], and user-defined indoor location sensing [ 14 ]. As for care nursing intervention, it is common to use physical care robots [ 15 , 16 , 17 , 18 ], chatbots [ 19 , 20 , 21 ], and virtual agents [ 22 , 23 , 24 , 25 , 26 ]. The core point of these studies is to encourage dialogue-based interaction between machines and elderly people.…”
Section: Introductionmentioning
confidence: 99%