Usability Methodologies for Real-Life Voice User Interfaces

Spiliotopoulos, Dimitris

doi:10.4018/jitwe.2009100105

Cited by 19 publications

(3 citation statements)

References 35 publications

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“…This shows the necessity for a constant update of the personas in order to reflect the changes in topical interests. The frequency of the employed routine data analysis to achieve the updates reflects upon the design lifecycle [13].…”

Section: Related Workmentioning

confidence: 99%

Data-Assisted Persona Construction Using Social Media Data

Spiliotopoulos

Margaris

Vassilakis

2020

BDCC

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User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations. Most of the time, the user type and generic requirements are given or can be obtained and used to model interaction during the design phase. The deployment settings and situations can be collected through the needfinding phase, either via user feedback or via the automatic analysis of existing data. Personas may be defined using the aforementioned information through user research analysis or data analysis. This work utilizes an approach to activate an accurate persona definition early in the design cycle, using topic detection to semantically enrich the data that are used to derive the persona details. This work uses Twitter data from a music event to extract information that can be used to assist persona creation. A user study in persona construction compares the topic modelling metadata to a traditional user collected data analysis for persona construction. The results show that the topic information-driven constructed personas are perceived as having better clarity, completeness and credibility. Additionally, the human users feel more attracted and similar to such personas. This work may be used to model personas and recommend suitable ones to designers of other products, such as advertisers, game designers and moviegoers.

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Section: Related Workmentioning

confidence: 99%

Data-Assisted Persona Construction Using Social Media Data

Spiliotopoulos

Margaris

Vassilakis

2020

BDCC

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“…However, building intelligent virtual agents with advanced verbal and nonverbal skills altogether to fully address consistent, coherent, realistic and desirable functional and behavioural responses interpreted by the human users as humanlike and supporting long-term engagement in the endorsed behaviour posits a considerable ongoing challenge for both academic and commercial artificial intelligence designers to navigate [30]. Given the broad range of conditions in which intelligent agents or ECAs may operate, exploring the way that certain design options might influence usability, interaction and learning experience outcomes across diverse situations and cultural context, is a considerable research issue to investigate [31]. An emerging need is the extension of modelling of intelligent agent-to-agent negotiations (within multiagent environments) toward human-like negotiation behaviour as embedded in the training context [24].…”

Section: Related Workmentioning

confidence: 99%

Multimodal Interaction: Correlates of Learners’ Metacognitive Skill Training Negotiation Experience

et al. 2020

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Metacognitive training reflects knowledge, consideration and control over decision-making and task performance evident in any social and learning context. Interest in understanding the best account of effective (win-win) negotiation emerges in different social and cultural interactions worldwide. The research presented in this paper explores an extended study of metacognitive training system during negotiation using an embodied conversational agent. It elaborates on the findings from the usability evaluation employing 40 adult learners pre- and postinteraction with the system, reporting on the usability and metacognitive, individual- and community-level related attributes. Empirical evidence indicates (a) higher levels of self-efficacy, individual readiness to change and civic action after user-system experience, (b) significant and positive direct associations between self-efficacy, self-regulation, interpersonal and problem-solving skills, individual readiness to change, mastery goal orientation and civic action pre- and postinteraction and (c) gender differences in the perceptions of system usability performance according to country of origin. Theoretical and practical implications in tandem with future research avenues are discussed in light of embodied conversational agent metacognitive training in negotiation.

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“…The topic of VAs and VUIs has been studied fairly intensively. Starting with dialog systems in natural language [32], extending to spoken language and integration of technical services in [5,26,17,15] to more design-driven and holistic views in [16,14,20,8,18,3,19]. There are many tutorials [21,1,23,27,4] promising the easy creation of such systems.…”

Section: Introductionmentioning

confidence: 99%

Practical Challenges of Virtual Assistants and Voice Interfaces in Industrial Applications

Gärtler¹,

Schmidt²

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Virtual assistant systems promise ubiquitous and straightforward access to information, applications, and physical appliances. Their foundation on intent-oriented queries and support of natural language makes them an ideal tool for human-centric applications. The general approach to build such systems and the main building blocks are well-understood and offered as off-the-shelf components. While there are prominent examples in the service sector, other sectors such as the manufacturing and process industries have nothing comparable. We investigate the practical challenges of building a virtual assistant using a representative and simplified case from of knowledge retrieval domain. A qualitative study reveals two significant obstacles: Firstly, while systems can be tuned to tackle the most relevant types of question tasks, user acceptance is lower than for comparable GUI-based systems and, secondly, a disproportional amount of effort to get all details and having a robust system. Overall, implementing a virtual assistant for an industrial application is technically feasible yet requires significant effort and understanding of the target audience.

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Usability Methodologies for Real-Life Voice User Interfaces

Cited by 19 publications

References 35 publications

Data-Assisted Persona Construction Using Social Media Data

Data-Assisted Persona Construction Using Social Media Data

Multimodal Interaction: Correlates of Learners’ Metacognitive Skill Training Negotiation Experience

Practical Challenges of Virtual Assistants and Voice Interfaces in Industrial Applications

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