The Evolving Design of Tangibles for Graph Algorithmic Thinking

Bonani, Andrea; Fatto, Vincenzo Del

doi:10.1145/3173225.3173270

Cited by 5 publications

(5 citation statements)

References 18 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%

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%

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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“…We found three main considerations to build TUI prototypes in the surveyed papers: production, usability, and learning application. For production, research considered more about the cost and convenience, which made them usually use wood [17,24,42,44,46,55,102,141] or acrylic [2,5,6,65,75,90,107,120]. In addition, TUI researchers usually selected appropriate materials based on the component's function.…”

Section: Materials Used For Tuimentioning

confidence: 99%

“…Besides collaboration among peers, some studies also found it promoted collaboration between parents and their children because "an adult's reaction to children's behaviour is important" [101]. Bonani et al [17] indicated that required adult support allowing them to gain a better understanding. For example, caretakers could scaffold children while leaving enough space for surprises and challenges [101].…”

Section: Tangible Collaborative Learningmentioning

confidence: 99%

“…More than 19 studies in the review results showed that learners were more active or engaged when using TUIs [148], e.g., narrative material development [96], mini-game and quiz [72]. For instance, children said they liked the tangible game very much [142] and were willing to repeat the learning experience [17]. It showed that high engagement with TUI "benefits for critical thinking, problemsolving and also supporting active learning" [26] and fostered exploration and improvisation, which gave children more initiative for learning [56].…”

Section: Impact On Learners' Emotionmentioning

confidence: 99%

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A Meta-Analysis of Tangible Learning Studies from the TEI Conference

Liang

Preissing

et al. 2022

Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Tangible learning has received increasing attention. However, in the recent decade, it has no comprehensive overview. This study aimed to fill the gap and reviewed 92 publications from all the TEI conference proceedings (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021). We analysed previous studies' characteristics (e.g., study purpose and interactive modalities) and elaborated on three common topics: collaborative tangible learning, tangibles' impacts on learning, and comparisons between tangibles and other interfaces. Three key findings were: (1) Tangibles impacted learning because it could scaffold learning, change learning behaviour, and improve learning emotion; (2) We should see the effectiveness of tangibles with rational and critical minds. (3) Some studies emphasised too much on the interaction of tangibles and ignored their metaphor meanings. For future work, we suggest avoiding an intensive cluster on collaboration and children and consider other valuable areas, e.g., tangibles for teachers, tangibles' social and emotional impacts on students, tangible interaction's meaning and metaphor. CCS CONCEPTS• Applied computing → Education; • Human-centered computing → Human computer interaction (HCI).

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“…There are studies focused on creating tangible programming languages as a way to physicalize information structures and specify computer behavior [10,16]. While these proposals have explored how to make computer behavior and information structures tangible, they have centered on allowing practical applications for educative or playful goals, without analyzing if similar solutions could work as a way to interact with algorithmic systems.…”

Section: Tangible Programming and Interaction With Tvsmentioning

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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The Evolving Design of Tangibles for Graph Algorithmic Thinking

Cited by 5 publications

References 18 publications

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations

A Meta-Analysis of Tangible Learning Studies from the TEI Conference

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

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