Designing the Future of Personal Fashion

Vaccaro, Kristen; Agarwalla, Tanvi; Shivakumar, Sunaya; Kumar, Ranjitha

doi:10.1145/3173574.3174201

Cited by 29 publications

(14 citation statements)

References 28 publications

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“…The use of CAs in companies offers the potential to automate and innovate tasks in various application areas. Recent studies have explored text-based CAs, for example in customer service (Wünderlich and Paluch 2017), marketing and sales (Vaccaro et al 2018), team collaboration (Elson et al 2018;Toxtli et al 2018) and human resources (Liao et al 2018). CAs are typically introduced for two purposes: First, CAs have the potential to provide intuitive access to existing systems via natural language, thus avoiding the need to manually interact with a graphical interface in multiple steps (McTear et al 2016).…”

Section: Conversational Capabilitiesmentioning

confidence: 99%

Designing Anthropomorphic Enterprise Conversational Agents

2020

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The increasing capabilities of conversational agents (CAs) offer manifold opportunities to assist users in a variety of tasks. In an organizational context, particularly their potential to simulate a human-like interaction via natural language currently attracts attention both at the customer interface as well as for internal purposes, often in the form of chatbots. Emerging experimental studies on CAs look into the impact of anthropomorphic design elements, so-called social cues, on user perception. However, while these studies provide valuable prescriptive knowledge of selected social cues, they neglect the potential detrimental influence of the limited responsiveness of present-day conversational agents. In practice, many CAs fail to continuously provide meaningful responses in a conversation due to the open nature of natural language interaction, which negatively influences user perception and often led to CAs being discontinued in the past. Thus, designing a CA that provides a human-like interaction experience while minimizing the risks associated with limited conversational capabilities represents a substantial design problem. This study addresses the aforementioned problem by proposing and evaluating a design for a CA that offers a human-like interaction experience while mitigating negative effects due to limited responsiveness. Through the presentation of the artifact and the synthesis of prescriptive knowledge in the form of a nascent design theory for anthropomorphic enterprise CAs, this research adds to the growing knowledge base for designing humanlike assistants and supports practitioners seeking to introduce them into their organizations.

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Section: Conversational Capabilitiesmentioning

confidence: 99%

Designing Anthropomorphic Enterprise Conversational Agents

2020

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“…Beyond the quality and naturalness of a conversation flow, building trust may also refer to human characteristics of the interlocutor, including the chatbot attitude. As an example, being trustworthy has been a target for a fashionrelated chatbot [27]. To achieve that, specific features and vocabulary that would also work better to gain someone's trust in a purely human context have been considered in the chatbot design.…”

Section: Towards Trustfulnessmentioning

confidence: 99%

Chasing the Chatbots

2019

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“…A basic online version is free, but it has limited features and functionality. RefWorks, first released in 2001 [ 4 ], is an entirely web-based application marketed to libraries as an institution-wide tool, though a vendor representative indicated that individual accounts used to be available and will be offered again [ 5 ]. The product is currently transitioning to a new interface, referred to by the vendor as “new RefWorks.” Zotero’s free, open source citation manager was initially introduced in 2006 as an extension for the Firefox web browser.…”

Section: Introductionmentioning

confidence: 99%