2022
DOI: 10.1145/3505267
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Supporting people with autism spectrum disorders in the exploration of PoIs

Abstract: The suggestion of Points of Interest (PoIs) to people with autism spectrum disorders challenges the research about recommender systems by introducing an explicit need to consider both user preferences and aversions in item evaluation. The reason is that autistic users' perception of places is influenced by sensory aversions, which can cause stress and anxiety when they visit the suggested PoIs. Therefore, the management of individual preferences is not enough to provide these people with suitable recommendatio… Show more

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Cited by 10 publications
(4 citation statements)
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“…Finally, fairness considerations are also relevant in the context of individuals with disabilities. Related recommendation approaches support content recommendation (Quisi-Peralta et al, 2018;Apostolidis et al, 2022), recommendation for accessibility and mobility (Cardoso et al, 2015;Brodeala, 2020;Tsai et al, 2022), activity recommendation (Altulyan et al, 2019), and the recommendation of points of interest (Mauro et al, 2022).…”
Section: Min ←mentioning
confidence: 99%
“…Finally, fairness considerations are also relevant in the context of individuals with disabilities. Related recommendation approaches support content recommendation (Quisi-Peralta et al, 2018;Apostolidis et al, 2022), recommendation for accessibility and mobility (Cardoso et al, 2015;Brodeala, 2020;Tsai et al, 2022), activity recommendation (Altulyan et al, 2019), and the recommendation of points of interest (Mauro et al, 2022).…”
Section: Min ←mentioning
confidence: 99%
“…Finally, fairness considerations are also relevant in the context of individuals with disabilities. Related recommendation approaches support content recommendation (Quisi-Peralta et al, 2018 ; Apostolidis et al, 2022 ), recommendation for accessibility and mobility (Cardoso et al, 2015 ; Brodeala, 2020 ; Tsai et al, 2022 ), activity recommendation (Altulyan et al, 2019 ), and the recommendation of points of interest (Mauro et al, 2022 ).…”
Section: Recommender Systems For Sustainabilitymentioning
confidence: 99%
“…For each u ∈ U and i ∈ I, we estimate u's evaluation of i (r ui ) by applying the following algorithms described in (Mauro et al, 2020(Mauro et al, , 2022): 12…”
Section: Rating Predictionmentioning
confidence: 99%
“…This is crucial because what bothers people with autism has great importance in their daily choices and can determine a high level of stress and anxiety (Simm et al, 2016). Mauro et al (2020Mauro et al ( , 2022 propose to distinguish the role of user preferences and compatibility in PoI suggestion. The idea is to estimate the suitability of a place p for a user u by evaluating how much u is expected to like p, and how compatible p is with u, depending on u's sensory aversions.…”
Section: Introductionmentioning
confidence: 99%