Design Vocabulary for Human--IoT Systems Communication

Chuang, Ying-Ji; Chen, Linlin; Liu, Yoga

doi:10.1145/3173574.3173848

Cited by 21 publications

(5 citation statements)

References 30 publications

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“…To understand possible communications that will be needed between human and intelligent systems, in a previous study [10], we chose and analyze nine concept videos produced by leading companies, research institutes, and independent designers. Through the semantic analysis of the interactions between the user and a system of smart things demonstrated in the films, we extracted 43 design vocabularies and clustered them into 11 categories.…”

Section: Methodsmentioning

confidence: 99%

Designing the Expressiveness of Point Lights for Bridging Human-IoT System Communications

Liu¹,

Chuang²,

Lee³

et al. 2017

Proceedings of the Conference on Design and Semantics of Form and Movement - Sense and Sensitivity, DeSForM 2017

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In the last decade, the digital devices and intelligent systems are becoming popular in people's everyday lives. Many machines could communicate and collaborate as a system to provide various services. However, they seldom provide sufficient feed forwards or feedbacks to help users understand current states and aware what it is about to act. In this study, we explored the possibilities of expressiveness with the point lights embedded on ubiquitous devices. By applying the findings from related works and animation principles, we created nine basic individual patterns and composed 12 designs of group behaviors. We then conducted a survey with 69 participants to rate their expressiveness regarding nine vocabularies of the human-system communication. The results show that single light behavior and the performative group light behavior could help to convey specific state information for intuitive communication. At the individual light level, for instance, the fade in light behavior can indicate changes in status; rapid blinking can indicate important information. At the group level, the two designs developed in this study, leading and simultaneous type also can initiate human interactions and represent the machine-to-machine conversations taken place in the system, respectively.

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Section: Methodsmentioning

confidence: 99%

Designing the Expressiveness of Point Lights for Bridging Human-IoT System Communications

Liu¹,

Chuang²,

Lee³

et al. 2017

Proceedings of the Conference on Design and Semantics of Form and Movement - Sense and Sensitivity, DeSForM 2017

Self Cite

View full text Add to dashboard Cite

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“…For example, Despouys et al [40] have proposed a model for 'sensemaking' within the context of smart homes, in order to identify and manage potential scenarios where the expectations of users and autonomous systems are misaligned [40]. Similarly, Chuang et al [41] analysed 'concept videos' of IoT products to develop a design vocabulary for human-IoT systems [41], as a means for supporting developers in better communicating and explaining the intended purpose of their IoT systems, such that their users might have a stronger understanding of how they operate. Some have explored the potential of methods for 'explainable AI' within smart home contexts, given that consumer IoT systems will often employ some form of machine learning [42], [43].…”

Section: A Specific User Concernsmentioning

confidence: 99%

A Room With an Overview: Toward Meaningful Transparency for the Consumer Internet of Things

Norval,

Singh

2024

IEEE Internet Things J.

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As our physical environments become ever-more connected, instrumented and automated, it can be increasingly difficult for users to understand what is happening within them and why. This warrants attention; with the pervasive and physical nature of the IoT comes risks of data misuse, privacy, surveillance, and even physical harm. Such concerns come amid increasing calls for more transparency surrounding technologies (in general), as a means for supporting scrutiny and accountability. This paper explores the practical dimensions to transparency mechanisms within the consumer IoT. That is, we consider how smart homes might be made more meaningfully transparent, so as to support users in gaining greater understanding, oversight, and control. Through a series of three user-centric studies, we (i) survey prospective smart home users to gain a general understanding of what meaningful transparency within smart homes might entail; (ii) identify categories of user-derived requirements and design elements (design features for supporting smart home transparency) that have been created through two co-design workshops; and (iii) validate these through an evaluation with an altogether new set of participants. In all, these categories of requirements and interface design elements provide a foundation for understanding how meaningful transparency might be achieved within smart homes, and introduces several wider considerations for doing so.

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“…to provide users with an understanding of how the system is "interpreting the state of the world". Researchers have provided several frameworks for intelligibility [4,5,17,37], investigated intelligibility issues in commercial products and concepts [17,73], and demonstrated possible ways to provide intelligibility such as graphical interfaces [21,34,67], explanations [33,36,37,68] or shape-change [54]. Despite the beneft of increased transparency, intelligibility can also be harmful if a system behaves appropriately yet shows high uncertainty [35].…”

Section: Related Work 21 Intelligibilitymentioning

confidence: 99%

Intelligibility Issues Faced by Smart Speaker Enthusiasts in Understanding What Their Devices Do and Why

Avdic

Vermeulen

2020

32nd Australian Conference on Human-Computer Interaction

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Studies of smart speakers highlight issues people face with understanding why unexpected behaviour occurs and with recovering from mistakes due to uninformative responses. Yet, our understanding of such intelligibility issues in smart speakers -difculties in understanding the device's behaviour -remains limited, in particular, for long-term and frequent smart speaker users who may encounter more complex situations than frst-time users. We conducted an online survey and interviews with smart speaker enthusiasts to investigate how they form an understanding of the device's behaviour and what strategies they use to recover from breakdowns. We identifed seven diferent breakdown recovery strategies and found that enthusiasts particularly struggled with breakdowns in their IoT infrastructure. Informed by our results, we propose three research directions: infrastructural breakdowns as learning opportunities for understanding the smart speaker's behaviour; leveraging aspects of non-verbal communication as opportunities for design; and considering passive users' intelligibility and control needs. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI; Human computer interaction (HCI); Interaction paradigms; Natural language interfaces.

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Design Vocabulary for Human--IoT Systems Communication

Cited by 21 publications

References 30 publications

Designing the Expressiveness of Point Lights for Bridging Human-IoT System Communications

Designing the Expressiveness of Point Lights for Bridging Human-IoT System Communications

A Room With an Overview: Toward Meaningful Transparency for the Consumer Internet of Things

Intelligibility Issues Faced by Smart Speaker Enthusiasts in Understanding What Their Devices Do and Why

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