TwitterIDo: What if My Shopping Bag Could Tell My Friends I’m Out Shopping

Nazzi, Elena; Sokoler, Tomas

doi:10.1007/978-3-319-20913-5_47

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…In [ 19 ], a quantitative analysis was used to investigate whether the participants initiated a conversation. Additionally, we found 13 studies did not clearly describe their analytic methods, i.e., [ 20 , 41 , 42 , 49 , 53 , 59 , 61 , 67 , 70 , 71 , 78 , 82 , 85 ].…”

Section: Resultsmentioning

confidence: 99%

“…A majority of these studies were targeted at users in special age groups. Twelve studies aimed to assist older adults, i.e., [ 17 , 59 , 61 , 62 , 67 , 70 , 71 , 72 , 73 , 74 , 76 , 82 ]. Seven studies focused on the social problems of children with ASD, i.e., [ 20 , 35 , 38 , 39 , 40 , 41 , 42 ].…”

Section: Resultsmentioning

confidence: 99%

“…Six studies observed their participants without mentioning their specific collection methods, i.e., [ 20 , 53 , 59 , 67 , 78 , 82 ]. The observational data are primarily analyzed with qualitative methods, and they are often analyzed with interview data (as in [ 38 , 39 , 40 ]).…”

Section: Resultsmentioning

confidence: 99%

“…Observation (field notes) 2. Interviews (interview transcripts) 27 Nazzi et al, 2015, [ 67 ] Design the augmented everyday artifacts (the shopping bag) to make activities of older adults more socially visible to their community, to enhance their face-to-face social interaction. Older adults Observation (pictures, videos, and notes experiences of older adults gathered from co-design activities) 28 Abdallah et al, 2016, [ 48 ] Provide an application to transfer text or voice information of hearing people into sign language, aiming at communicating with deaf and dumb people simply and creatively.…”

Section: Table A1mentioning

confidence: 99%

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A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

Qiu

Kang

et al. 2021

Sensors

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Social interactions significantly impact the quality of life for people with special needs (e.g., older adults with dementia and children with autism). They may suffer loneliness and social isolation more often than people without disabilities. There is a growing demand for technologies to satisfy the social needs of such user groups. However, evaluating these systems can be challenging due to the extra difficulty of gathering data from people with special needs (e.g., communication barriers involving older adults with dementia and children with autism). Thus, in this systematic review, we focus on studying data gathering methods for evaluating socially assistive systems (SAS). Six academic databases (i.e., Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore) were searched, covering articles published from January 2000 to July 2021. A total of 65 articles met the inclusion criteria for this systematic review. The results showed that existing SASs most often targeted people with visual impairments, older adults, and children with autism. For instance, a common type of SASs aimed to help blind people perceive social signals (e.g., facial expressions). SASs were most commonly assessed with interviews, questionnaires, and observation data. Around half of the interview studies only involved target users, while the other half also included secondary users or stakeholders. Questionnaires were mostly used with older adults and people with visual impairments to measure their social interaction, emotional state, and system usability. A great majority of observational studies were carried out with users in special age groups, especially older adults and children with autism. We thereby contribute an overview of how different data gathering methods were used with various target users of SASs. Relevant insights are extracted to inform future development and research.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Table A1mentioning

confidence: 99%

See 2 more Smart Citations

A Review of Data Gathering Methods for Evaluating Socially Assistive Systems

Qiu

Kang

et al. 2021

Sensors

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Investigating socially assistive systems from system design and evaluation: a systematic review

Qiu

Kang

et al. 2021

Univ Access Inf Soc

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Purpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1) Characterizing related assistive systems with a special focus on the system design, primarily including HCI technologies used and user-involvement approach taken; (2) Examining their ways of system evaluation; (3) Reflecting on insights for future design research. Methods A systematic literature search was conducted using the keywords “social interactions” and “assistive technologies” within the following databases: Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore. Results Sixty-five papers met the inclusion criteria and were further analyzed. Our results showed that there were 11 types of HCI technologies that supported social interactions for target users. The most common was cognitive and meaning understanding technologies, often applied with wearable devices for compensating users’ sensory loss; 33.85% of studies involved end-users and stakeholders in the design phase; Four types of evaluation methods were identified. The majority of studies adopted laboratory experiments to measure user-system interaction and system validation. Proxy users were used in system evaluation, especially in initial experiments; 42.46% of evaluations were conducted in field settings, primarily including the participants’ own homes and institutions. Conclusion We contribute an overview of Socially Assistive Systems that support social interactions for older adults and people with disabilities, as well as illustrate emerging technologies and research opportunities for future work.

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