Usability Questionnaires to Evaluate Voice User Interfaces

Iñiguez-Carrillo, Adriana Lorena; Gaytán-Lugo, Laura S.; García-Ruiz, Miguel Á.; Arellano, Roció Maciel

doi:10.1109/tla.2021.9468439

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…Touchless technology is de ned as a type of interaction that does not require physical contact. For instance, voice control is a touchless input modality that relies on spoken language rather than touch and is free from external connecting devices and visual input, which can signi cantly decrease the cognitive load on the user (Iniguez-Carrillo et al, 2021). This approach improves accessibility and enables individuals who struggle with vision or movement functions to carry out daily tasks using their voices (Mhaidli et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: The impact of input modality on user experience by age group: based on self-service terminal

Hou,

Huang

2024

Preprint

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The current interaction of self-service terminal lack an effective way that is consistent with the needs of older adults. Touch input is a frequent modality, sometimes the only modality, used in self-service terminal, which may not be beneficial to some older users. This study aims to investigate the effects of input modality (touch, voice, eye control) and age (young people, pre-seniors, and seniors) on the task performance and cognitive load of users operating a prototype self-service terminal. Task performance and cognitive load significantly differed across input modalities and participant ages. For touchless modalities appropriate for pandemic environments, this research indicates both eye control and voice inputs are suitable for young people, and voice input appropriate people over the age of 55. For non-pandemic environments, the touch input was found suitable for users below the age of 55. For those over 55, voice input is a better choice.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: The impact of input modality on user experience by age group: based on self-service terminal

Hou,

Huang

2024

Preprint

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“…The assistant also needs to observe and record subjects’ performance and attitudes. Finally, user interviews and quantitative analysis were conducted to explore the users’ expectations of the feedback speech rate under different task scenarios ( Iniguez et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Talk like me: Exploring the feedback speech rate regulation strategy of the voice user interface for elderly people

Wang

Yang

2023

Front. Psychol.

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Voice user interface (VUI) is widely used in developing intelligent products due to its low learning cost. However, most of such products do not consider the cognitive and language ability of elderly people, which leads to low interaction efficiency, poor user experience, and unfriendliness to them. Firstly, the paper analyzes the factors which influence the voice interaction behavior of elderly people: speech rate of elderly people, dialog task type, and feedback word count. And then, the voice interaction simulation experiment was designed based on the wizard of Oz testing method. Thirty subjects (M = 61.86 years old, SD = 7.16; 15 males and 15 females) were invited to interact with the prototype of a voice robot through three kinds of dialog tasks and six configurations of the feedback speech rate. Elderly people’s speech rates at which they speak to a person and to a voice robot, the feedback speech rates they expected for three dialog tasks were collected. The correlation between subjects’ speech rate and the expected feedback speech rate, the influence of dialog task type, and feedback word count on elderly people’s expected feedback speech rate were analyzed. The results show that elderly people speak to a voice robot with a lower speech rate than they speak to a person, and they expected the robot feedback speech rate to be lower than the rate they speak to the robot. There is a positive correlation between subjects’ speech rate and the expected speech rate, which implies that elderly people with faster speech rates expected a faster feedback speech rate. There is no significant difference between the elderly people’s expected speech rate for non-goal-oriented and goal-oriented dialog tasks. Meanwhile, a negative correlation between the feedback word count and the expected feedback speech rate is found. This study extends the knowledge boundaries of VUI design by investigating the influencing factors of voice interaction between elderly people and VUI. These results also provide practical implications for developing suitable VUI for elderly people, especially for regulating the feedback speech rate of VUI.

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“…In the semi-structured interview, the participants were asked about their experience with using the voice assistant to practice mindful eating. In addition, they were also asked to answer a SUS questionnaire [30] twice, once after interacting with each VA for the 3 days.…”

Section: Methodsmentioning

confidence: 99%

Facilitating Mindful Eating with a Voice Assistant

Min-rui

Papachristos

Merritt

2023

Proceedings of the 5th International Conference on Conversational User Interfaces

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In our busy lives, meals are being squeezed into shorter times, or fit into multitasking routines of watching videos and scrolling through social media. This can lead to eating quickly without considering the food choices and overeating. Mindful eating has been promoted as an effective method to combat mindless eating with various tools available to facilitate mindfulness practices. However, the use of voice assistants to facilitate mindful eating is rather limited. We developed a voice assistant to facilitate mindful eating activities and conducted a field study with four participants over six days. We examined how the social role of the voice assistant, acting as a friend or a counselor, affects mindful eating experiences. The results suggest that voice assistants can assist users in mindful eating, however, participants preferred the friend version of the voice assistant. Implications for the design of voice assistants for mindfulness activities are provided. CCS CONCEPTS• Human-centered computing → Personal digital assistants.

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Usability Questionnaires to Evaluate Voice User Interfaces

Cited by 10 publications

References 30 publications

WITHDRAWN: The impact of input modality on user experience by age group: based on self-service terminal

WITHDRAWN: The impact of input modality on user experience by age group: based on self-service terminal

Talk like me: Exploring the feedback speech rate regulation strategy of the voice user interface for elderly people

Facilitating Mindful Eating with a Voice Assistant

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