Proposal of a Tangible Interface to Enhance Seniors’ TV Experience: UX Evaluation of SIX

Oliveira, Ana Patrícia; Vairinhos, Mário; Mealha, Óscar

doi:10.1007/978-3-319-90170-1_10

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…For instance, there are studies about tangible programming languages that looked to explore consistent ways to physicalize information structure and specify computer behavior [8,16]. Additionally, there are proposals of soft interfaces [1,35], tangible handheld devices [12], or dices [45,50,54] that serve as an alternative to the remote-control and provide a new way to interact with the TV.…”

Section: Related Explorations For Tuismentioning

confidence: 99%

“…For instance, cubes or dices are a form of TUIs commonly used to interact with TVs [45,54], capable of describing data [26] or performing TV control interactions [50]. Therefore, designers could use the cube to picture graphs as in Datafied representations can also inspire data physicalization strategies [30] following the designs of our participants.…”

Section: Tuis and Tangible Algorithmic Imaginariesmentioning

confidence: 99%

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Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

Alvarado

Abeele

Geerts

et al. 2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Recommender algorithms play an active role in many everyday activities. However, personalized recommendations often produce negative experiences due to a lack of awareness, control, or transparency. Allowing users to materialize their algorithmic imaginaries exposes how they experience, perceive, and imagine recommender algorithms. Moreover, it can unearth novel and previously unattended design opportunities for tangible interactions with algorithms. Therefore, we explored how 15 users of a famous movie recommender system materialized tangible designs to reflect and discuss their algorithmic imaginaries during co-design workshops and interviews. Using thematic analysis, we identified two forms of algorithmic imaginaries that can inspire tangible interactions with recommender algorithms: metaphoric and datafied representations. Complementary themes exposed the influence of contextual factors and diverse negative attitudes towards personalized movie recommendations. Based on these findings, we suggest design opportunities and suggestions for improving the algorithmic experience of movie recommendations and similar systems through tangible user interfaces.CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Empirical studies in interaction design; Ubiquitous and mobile computing design and evaluation methods.

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Section: Related Explorations For Tuismentioning

confidence: 99%

Section: Tuis and Tangible Algorithmic Imaginariesmentioning

confidence: 99%

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

Alvarado

Abeele

Geerts

et al. 2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

View full text Add to dashboard Cite

show abstract

“…According to them, the problems encountered come mainly from individuals' characteristics (e.g., trembling hands, grasping issues, finger imprecision, visual impairments, memory decrease, learnability decrease), but also from the ergonomics of devices, particularly the remote control (e.g., including a large number of functions, unfamiliar functions, small labels, small symbols, small buttons, a small gap between buttons, inflexible layout (e.g., buttons cannot be reorganized), small device, lack of a backlight, requiring a specific body position to avoid losing infrared signal). This electronic device, which is already part of the everyday life of OAs [55], needs to be adapted to the rapid development of new services accessible through the TV interface.…”

Section: Interactions Between the Personal And The Technological Contextmentioning

confidence: 99%

Barriers and Enablers for the Use of Digital Interactive Television in Nursing Home Settings: An Interview Case Study with Older Adults and Professionals

Naudé

Rigaud

Kamali

et al. 2023

IJERPH

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Increasingly, public health programs are recommending the use of information and communication technologies to address the psychosocial needs of Older Adults (OAs). Recently, several applications that allow access to communication and stimulation functionalities using digital interactive television (DiTV) have been developed. The use of the television interface to access digital services seems to help meet several accessibility and usability needs of OAs. However, its use entails other challenges related to different dimensions (organizational, technological, ethical, etc.). This study aims to identify the factors that enable or hinder the use of DiTV by OAs living in geriatric institutions. A qualitative interview case study was conducted in three French geriatric facilities. A total of 25 semi-structured interviews were carried out with residents and care professionals, between February and April 2022, to identify enablers and barriers to DiTV use. Data were processed using a thematic deductive analysis inspired by a multidimensional Health Technology Assessment model. The analysis showed that DiTV use may be limited by organizational (e.g., workload), technological (e.g., ergonomic issues), human (e.g., health issues), ethical (e.g., privacy), and safety factors (e.g., frustration due to technical problems). A summary of these factors and five recommendations for DiTV implementation in geriatric settings are presented in this paper.

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“…Other scholars have presented soft interfaces [2,29], tangible handheld devices [13], or dices [35,40,43] to interact with the TV set. While researchers have centered these approaches in providing new forms to interact with the TV disregarding movie recommendations, they also provide a set of design choices that allow us to explore the interaction with recommender algorithms usually consumed on a TV screen, such as personalized movie recommendations.…”

Section: Tangible Programming and Interaction With Tvsmentioning

confidence: 99%

“…Second, we were interested in testing whether the design of TUIs can gain from the self-projection that users tend to link with recommender systems [28,33] and tangible algorithmic imaginaries [5], in contrast with more abstract or general shapes for the interface. Third, since previous TUIs studied both soft pillow-like [2,29] and hard cube-like interfaces [35,40,43] to interact with TVs, we desired to analyze whether one or the other is more appealing for the personalized movie recommendation context. Fourth, we were interested in studying if users express any preference between one single-device strategy to interact with the movie recommendations but with limited interaction possibilities, or a two-devices strategy to increase their interactive options with the interface.…”

Section: Preliminary Design Space Rationalementioning

confidence: 99%

Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms

Alvarado

Abeele

Geerts

et al. 2022

Proc. ACM Hum.-Comput. Interact.

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Artificial Intelligence (AI) supports many of our everyday activities and decisions. However, personalized algorithmic recommendations often produce adverse experiences due to a lack of awareness, control, or transparency. While research has directed solutions on graphical user interfaces (GUIs), there are no explorations of Tangible User Interfaces (TUIs) to improve the experience with such systems, despite the valid existing academic arguments in favor of this exploration. Therefore, centering on transparency and control, we analyzed how 18 users of movie recommender systems perceived four different TUIs using individual co-design sessions and post-interview questionnaires. Through thematic analysis, we identified seven design considerations while designing TUIs to interact with algorithmic movie recommender systems: (1) Distinctions between TUIs and GUIs; (2) TUIs replacing predominant interfaces; (3) Preference for single-device TUIs; (4) The relevance of granular control for TUIs; (5) Apparent transparency limitations of TUIs; (6) TUIs and algorithmic social computing; and (7) Overview of specific design choices, including advantages and disadvantages of soft, hard, rounded, cubic, and humanoid interfaces. These findings inspired Recffy: the first functional TUI designed to enhance awareness and control in personalized movie recommendations. Based on this study, we propose the concept of Tangible Algorithms: TUIs dedicated to enhancing the interaction of algorithmic systems and their profiling processes or decisions in a specific context. Furthermore, we describe the relevance of tangible algorithms and design guidelines to promote them in diverse AI contexts. Finally, we invite the HCI and CSCW community to continue exploring tangible algorithms to address the interaction with algorithmic systems, including the collaborative and social computing dynamics they can promote in diverse AI contexts.

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Proposal of a Tangible Interface to Enhance Seniors’ TV Experience: UX Evaluation of SIX

Cited by 6 publications

References 12 publications

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

Barriers and Enablers for the Use of Digital Interactive Television in Nursing Home Settings: An Interview Case Study with Older Adults and Professionals

Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms

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