Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing

Jung, Ji‐Youn; Qiu, Sihang; Bozzon, Alessandro; Gadiraju, Ujwal

doi:10.1145/3491102.3517653

Cited by 18 publications

(4 citation statements)

References 72 publications

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“…Recently, the identification of 'AI capabilities' (Yildirim et al 2023) provides a concrete way to think about design spaces for the interactional aspects of computational system. Negotiation between AI and HCI can be deep and subtle: interactional affordances help to calibrate trust and reliance between humans and AI; conceptual metaphors sculpt the relations formed with conversational agents (Jung et al 2022;Khadpe et al 2020); and appropriate abstractions make AI qualities at hand for creative practitioners (Fiebrink 2019;Tremblay et al 2021). User experience, in its broader sense, goes beyond designing the immediate experiences, with work starting to consider how to develop frameworks for creating more or less personal, dependent and discretionary interfaces (Kliman-Silver et al 2020), or at how to generate heuristic models of meaningful engagement with AI artworks (Hemment et al 2022b).…”

Section: Designing Aimentioning

confidence: 99%

Grasping AI: experiential exercises for designers

Murray-Rust,

Lupetti,

Nicenboim

et al. 2023

AI & Soc

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Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge for designers to ideate within this creative landscape, balancing the possibilities of technology with human interactional concerns. We investigate techniques for exploring and reflecting on the interactional affordances, the unique relational possibilities, and the wider social implications of AI systems. We introduced into an interaction design course (n = 100) nine ‘AI exercises’ that draw on more than human design, responsible AI, and speculative enactment to create experiential engagements around AI interaction design. We find that exercises around metaphors and enactments make questions of training and learning, privacy and consent, autonomy and agency more tangible, and thereby help students be more reflective and responsible on how to design with AI and its complex properties in both their design process and outcomes.

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Section: Designing Aimentioning

confidence: 99%

Grasping AI: experiential exercises for designers

Murray-Rust,

Lupetti,

Nicenboim

et al. 2023

AI & Soc

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“…Finally, we will showcase conversational crowdsourcing in a variety of domains, such as supporting microtask execution and aiding informational web search [22]. In this session, we will also provide a step-by-step breakdown of implementing a conversational crowdsourcing interface using TickTalkTurk [21] for different crowdsourcing task types [6] and reflect on the metaphorical representation of conversational agents [11].…”

Section: Cuis For Crowd Computingmentioning

confidence: 99%

DECI: A Tutorial on Designing Effective Conversational Interfaces

Gadiraju

Abbas

Allen

2023

28th International Conference on Intelligent User Interfaces

Self Cite

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Conversational User Interfaces (CUIs) have been argued to have advantages over traditional GUIs due to having a more human-like interaction. The growing popularity of conversational agents has enabled humans to interact with machines more naturally. There is an increasing familiarity among people with conversational interactions mediated by technology due to the widespread use of mobile devices and messaging services and a hungry market for conversational agents. Based on the recent advances in conversational AI, as a result of the proliferation of large language models, the signs are that the future of human-computer interaction will have a significant conversational component. Today, over two-thirds of the population on our planet has access to the Internet, with ever-lowering barriers to accessibility. This tutorial will showcase the benefits of employing novel conversational interfaces for crowd computing, human-AI decision making, health and well-being, and information retrieval. Given the widespread adoption of AI systems across several domains, we will discuss the potential of conversational interfaces in facilitating and mediating people's interactions with AI systems. The tutorial will include interactive elements and discussions and provide participants with insights to inform the design of effective conversational interfaces.

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“…Yet, to date, there is a lack of investigation into the effects of crowd work specifically on the physical health of the workers. Past work has explored increasing worker engagement and satisfaction, as well as worker experience [5,17,24,25]. Many of the various microtasks require input via the conventional method of using a mouse and keyboard and are repetitive in nature, resulting in crowd workers who primarily earn their livelihoods in microtask marketplaces being at risk of injuries such as carpal tunnel syndrome [23].…”

Section: Background and Introductionmentioning

confidence: 99%

What You Show is What You Get! Gestures for Microtask Crowdsourcing

Allen

Gadiraju

2023

28th International Conference on Intelligent User Interfaces

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Crowdsourcing is a valuable tool to gather human input which enables the development of reliable artificial intelligence systems. Microtask platforms like Prolific and Amazon's Mechanical Turk have flourished by creating environments where crowd workers can provide such human input in a diverse and representative manner. Such marketplaces have evolved to support several hundreds of workers in earning their primary livelihood through crowd work. Crowd workers, however, often perform these tasks in sub-optimal work environments with poor ergonomics. Additionally, many of the various microtasks require input via the standard method of a mouse and keyboard and are repetitive in nature. As such, crowd workers who primarily earn their livelihoods in microtask marketplaces are at risk of injuries such as carpal tunnel syndrome. By changing the input modality from a mouse and keyboard to gesture-driven input, crowd workers can complete their work while simultaneously improving or safeguarding their physical health. Through three distinct microtasks, we constructed a dataset that enables the exploration of the physical and mental health of crowd workers while using gestures. In this work, we present the process of constructing this dataset, how we applied it, and the future applications we foresee.

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Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing

Cited by 18 publications

References 72 publications

Grasping AI: experiential exercises for designers

Grasping AI: experiential exercises for designers

DECI: A Tutorial on Designing Effective Conversational Interfaces

What You Show is What You Get! Gestures for Microtask Crowdsourcing

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