Conversational User Interfaces on Mobile Devices

Jaber, Razan

doi:10.1145/3405755.3406130

Cited by 7 publications

(4 citation statements)

References 83 publications

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“…CAs have been used to engage users in text-based information-seeking and task-oriented dialogues for many applications [43]. For example, they are integrated into physical devices (such as Alexa and Google Home [10]) and are available in many contexts of everyday life, like in phones (like Siri, the Apple virtual assistant [44]), cars, and online consumer assistance [45].…”

Section: Large Language Modelsmentioning

confidence: 99%

Designing Home Automation Routines Using an LLM-Based Chatbot

Giudici,

Padalino,

Paolino

et al. 2024

Designs

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Without any more delay, individuals are urged to adopt more sustainable behaviors to fight climate change. New digital systems mixed with engaging and gamification mechanisms could play an important role in achieving such an objective. In particular, Conversational Agents, like Smart Home Assistants, are a promising tool that encourage sustainable behaviors within household settings. In recent years, large language models (LLMs) have shown great potential in enhancing the capabilities of such assistants, making them more effective in interacting with users. We present the design and implementation of GreenIFTTT, an application empowered by GPT4 to create and control home automation routines. The agent helps users understand which energy consumption optimization routines could be created and applied to make their home appliances more environmentally sustainable. We performed an exploratory study (Italy, December 2023) with N = 13 participants to test our application’s usability and UX. The results suggest that GreenIFTTT is a usable, engaging, easy, and supportive tool, providing insight into new perspectives and usage of LLMs to create more environmentally sustainable home automation.

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Section: Large Language Modelsmentioning

confidence: 99%

Designing Home Automation Routines Using an LLM-Based Chatbot

Giudici,

Padalino,

Paolino

et al. 2024

Designs

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“…However, typing answers can be burdensome for interviewees. It takes more time to type the text than to answer vocally [9,26]. It also requires more effort to think about the answer and phrase it properly in written form.…”

Section: Research Questionsmentioning

confidence: 99%

How do Conversational Agents Transform Qualitative Interviews? Exploration and Support of Researchers’ Needs in Interviews at Scale

Bulygin

2022

27th International Conference on Intelligent User Interfaces

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In recent years, conversational agents (CAs) have been receiving more attention as tools for collecting data through qualitative interviews. The problem is we know little about how CAs affect both the interviewees and interviewers. This PhD project is dedicated to studying how to evaluate CA-mediated interviews and their effects on participants (both interviewees and interviewers). The findings of this project will allow us to support the interview practitioners with the tools for interview analytics and interview data analysis. It will be especially helpful in the large-scale settings which CA-mediated interviews enable. This proposal describes State-ofthe-art on the topic and presents the motivation of a study with key research questions to answer. CCS CONCEPTS• Information systems → Information systems applications;• Human-centered computing → Interaction design process and methods.

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“…Taking these together there is some work that looks at the overall interaction with such devices, be that in public areas [20,40] or in social [6] or home settings [4]. What is even less evident is going beyond using the metaphor of an subservient conversationalist as a way to piggyback on human social conventions to help users understand how they should interact with such a system.…”

Section: Introductionmentioning

confidence: 99%

Leaving the Butler Behind: The Future of Role Reproduction in CUI

Jaber

2021

CUI 2021 - 3rd Conference on Conversational User Interfaces

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Speech technologies are increasing in popularity by offering new interaction modalities for their users. Despite the prevalence of these devices, and the rapid improvement of the underlying technology, how we actually interact with these devices has remained wrapped up in the metaphors of command and control based around the problematic reproduction of the role of butler, maid, or personal assistant. In this paper we explore the issues around focusing our development and research on making a 'better' subordinate, and point to some opportunities to replace and refresh the status quo. CCS CONCEPTS• Human-centered computing → Natural language interfaces; Interaction design theory, concepts and paradigms; Interaction design process and methods.

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Conversational User Interfaces on Mobile Devices

Cited by 7 publications

References 83 publications

Designing Home Automation Routines Using an LLM-Based Chatbot

Designing Home Automation Routines Using an LLM-Based Chatbot

How do Conversational Agents Transform Qualitative Interviews? Exploration and Support of Researchers’ Needs in Interviews at Scale

Leaving the Butler Behind: The Future of Role Reproduction in CUI

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