Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning

2023 | International Conference on Information Systems | Citations: 0

Authors: Biedebach, Luka; Óskarsdóttir, María; Arnardottir, Erna; Islind, Anna Sigríður

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Topics: mobile system smart watch mobile application smart wearable device healthcare data

Methods: descriptive statistic cluster analysis parametric test ANOVA longitudinal research

Engaging with self-tracking applications: how do users respond to their performance data?

2023 | European Journal of Information Systems | Citations: 0

Authors: Constantiou, Ioanna; Mukkamala, Alivelu; Sjöklint, Mimmi; Trier, Matthias

Abstract: Self-tracking devices and applications have become popular in recent years and c ... Expand

Abstract: Self-tracking devices and applications have become popular in recent years and changed user behaviour. Previous research has primarily focused on the adoption of self-tracking devices and their effects on self-assessment. As adoption increases, user engagement becomes prominent for the continuous use of the devices and the applications. In this study, we focus on user engagement with activity tracking applications, e.g., Fitbit Flex and Jawbone Up that offer data on user performance. We collected data from semi-structured interviews with 54 participants. We propose a process model comprising four stages which involve distinct user interactions with data: review, react, reflect, and respond. We advance research in this domain by the proposed process model that explicates user engagement in two cases: when the user encounters satisfactory or unsatisfactory results. In the latter case, we depict four response tactics when users are confronted with unsatisfactory results. Collapse

Topics: smart wearable device mobile system fitness tracker user behavior marketing management

Methods: wearables based research business process modeling qualitative interview archival research longitudinal research

Criteria Based Evaluation of Cross-Platform Development Frameworks

2023 | HICSS | Citations: 0

Authors: El Tom, Ali; Bogdan, Cristian; Majchrzak, Tim A.; Grønli, Tor-Morten

Abstract: Cross-platform development frameworks continue to play an important role in deve ... Expand

Abstract: Cross-platform development frameworks continue to play an important role in developing of mobile applications. There are a plethora of possible frameworks to choose between, and all claim to give developers an advantage in one or more aspects of the development cycle. To further shed light on this area, our research investigates the selection of mobile cross-platform frameworks by investigating criteria and methods for choosing the best suitable framework for the development context. Our study confirm previous research findings and with that anchor the categorisation for a cross-platform comparison taxonomy. Our research further contribute with a criteria check-list to apply for cross-platform framework selection and showcase its use through a comparative study of a cross-platform application implemented in two frameworks. Although showcasing novelty in the criteria checklist, further research is needed to make the checklist robust and streamlined for public use. Collapse

Topics: mobile application Android iOS JavaScript programming language

Methods: cross sectional research literature study

A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach

2023 | Information Systems Frontiers | Citations: 0

Authors: El-Masri, Mazen; Al-Yafi, Karim; Kamal, Muhammad Mustafa

Abstract: Smartwatches are wearable devices intended to be smartphone companions that capt ... Expand

Abstract: Smartwatches are wearable devices intended to be smartphone companions that capture health data and ease access to notifications. They have also become personalisable standing as a fashion statement. This combination resulted in staggering adoption rates recently leading to question whether smartwatch users’ choice and use satisfaction emerge from utility features or from its fashion characteristics. This paper proposes and validates a fit theory to investigate the antecedents of adopters’ satisfaction. Besides evaluating fit with identity, the model assesses both perceived and actual task-technology fit of smartwatches. A questionnaire-based quantitative approach is used to collect data from about 300 smartwatch users in Qatar. To test the proposed model, data is analysed using structural equation modeling (SEM) and artificial neural networks (ANN). Furthermore, ANN sensitivity analysis ranks the importance of the fit factors affecting users’ choice during pre- and post-adoption stages. Both task-technology and technology-identity fit factors are quasi-equally important in explaining 62% of satisfaction variance. ANN analysis revealed that post-adoption satisfaction is primarily attributed to smartwatches’ ability to fit with users’ identity and secondarily to its perceived fit with tasks. Nevertheless, pre-adoption choice of smartwatches is mainly guided by their functionality. This paper is the first to propose and validate an integrated task-technology-identity fit model to explain smartwatch utilization and users’ satisfaction. The originality also lies in assessing actual task-technology fit and as perceived by users. Employing two modes of analysis revealed extra insights too. Collapse

Topics: smart watch mobile system user satisfaction personality smart wearable device

Methods: structural equation modeling data transformation survey factor analysis principal component analysis

Theories: theory of task technology fit unified theory of acceptance and use of technology technology acceptance model

SLEEP TRACKING AS A STRESSOR: EXPERIENCES FROM SMART RING USERS

2023 | European Conference On Information Systems | Citations: 0

Authors: Feng, Shan; Mäntymäki, Matti; Salmela, Hannu

Abstract: This study explores the stress that users attribute to sleep tracking with a sm ... Expand

Abstract: This study explores the stress that users attribute to sleep tracking with a smart ring. Prior research has discussed the challenges and barriers related to sleep-tracking technologies, but specific research on the stress caused by these technologies is scarce. This study explores the potential stressors that users attribute to sleep tracking executed via a smart ring. We conducted 38 semi-structured interviews and used thematic analysis to identify eight potential stressors from sleep tracking: complexity, invasion, inaccuracy, unreliability, data-perception discrepancy, pursuit of perfect data, vague guidance and interpretations, and overload with multiple self-tracking technologies. We further theorize these potential stressors using the person-technology fit model. The paper contributes to the nascent Information Systems research on technostress in the context of sleep tracking. Collapse

Topics: technostress website smart wearable device smart watch smartphone

Methods: qualitative interview qualitative content analysis theory development personal interview wearables based research

Wearables in Organizations - The Role of Data Sharing Mode

2023 | European Conference On Information Systems | Citations: 0

Authors: Messer, Uwe; Lukas, Nadine

Abstract: Wearable technology such as smartwatches have firmly established in the electro ... Expand

Abstract: Wearable technology such as smartwatches have firmly established in the electronics market. Their sensors allow gathering biological signals and the derivation of rich insights about the user. Organizations would like to use such data from employees to promote well-being, safety or to monitor performance. However, extant research lacks findings to explain why and when employees might accept these devices and disclose data. Based on uses-and-gratifications theory we empirically investigate drivers and inhibitors of wearable usage in the workplace and in private settings depending of data sharing mode (voluntary vs. mandatory sharing with the employer). Using a mixed-methods approach with structural equation modelling and fuzzy-set qualitative comparative analysis (fsQCA) and a sample of 783 respondents we gain important insights into adoption intentions. Our research introduces new constructs to the literature (e.g., dehumanization risks) and provides important practical implications for the adoption of wearable technology in organizational settings. Collapse

Topics: usage intention smart wearable device mobile system technology adoption smart watch

Methods: structural equation modeling fuzzy set qualitative comparative analysis SEM tool mixed method theory development

Theories: uses and gratifications theory uses and gratification theory

Discovering mHealth Users’ Privacy and Security Concerns through Social Media Mining

2023 | HICSS | Citations: 0

Authors: Mitchell, Damion; El-Gayar, Omar

Abstract: The purpose of this study is to explore the various privacy and security concern ... Expand

Abstract: The purpose of this study is to explore the various privacy and security concerns conveyed by social media users in relation to the use of mHealth wearable technologies, using Grounded Theory and Text Mining methodologies. The results of the emerging theory explain that the concerns of users can be categorized as relating to data management, data surveillance, data invasion, technical safety, or legal & policy issues. The results show that over time, mHealth users are still concerned about areas such as security breaches, real-time data invasion, surveillance, and how companies use the data collected from these devices. Further, the results from the emotion and sentiment analyses revealed that users generally exhibited anger and fear, and sentiments that were negatively expressed. Theoretically, the results also support the literature on user acceptance of mHealth wearables as influenced by the distrust of companies and their utilization of personally harvested data. Collapse

Topics: Twitter privacy mobile health smart wearable device social media

Methods: qualitative coding natural language processing grounded theory topic model computational algorithm

Do IoT Users Trade off their Information Privacy?

2023 | HICSS | Citations: 0

Authors: Oh, Jungjoo; Kwon, Soonbeom; Lee, Hwansoo

Abstract: The advent of the Internet of Things (IoT) has not only improved people’s qualit ... Expand

Abstract: The advent of the Internet of Things (IoT) has not only improved people’s quality of life but also raised concerns about information privacy. Although several studies have been conducted regarding information privacy concerns, there has not been sufficient discussion of the information privacy trade-off behavior in the IoT environment. Because previous studies only indirectly measured the information privacy trade-off behavior, the understanding of the behavior itself or its cause is limited. To address this issue, this study explored information privacy trade-off behavior in more depth using a large-scale sample and two-step analysis. Both panel data (23,724 samples for three years) and cross-sectional data (350 samples) were used in the analysis. The analysis results confirmed the existence of the information privacy trade-off for IoT users. Furthermore, it was found that the trade-off is associated with the social value of IoT devices and that men with IoT experience predominantly have strong trade-off behavior. Collapse

Topics: mobile system internet of things information privacy concern privacy smart watch

Methods: longitudinal research parametric test Student's t-test cross sectional research regression analysis method

Theories: fairness theory privacy calculus theory

Why are some reviews perceived as more helpful than others?

2023 | International Conference on Information Systems | Citations: 0

Authors: Nguyen, Tien Thuy; Tripathi, Arvind; Wong, Randy

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Topics: online review user-generated content mobile system smart watch website

Methods: descriptive statistic experiment product review parametric test ANOVA

Theories: theory of information

A Privacy Impact Assessment Method for Organizations Implementing IoT for Occupational Health and Safety

2023 | International Conference on Information Systems | Citations: 0

Authors: Stepanovic, Stefan; Naous, Dana; Mettler, Tobias

Abstract: Internet of Things (IoT) technologies are increasingly being integrated into oc ... Expand

Abstract: Internet of Things (IoT) technologies are increasingly being integrated into occupational health and safety (OHS) practices; however, their adoption raises significant privacy concerns. The General Data Protection Regulation (GDPR) has established the requirement for organizations to conduct Privacy Impact Assessments (PIAs) prior to processing personal data, emphasizing the need for privacy safeguards in the workplace. Despite this, the GDPR provisions related to the IoT, particularly in the area of OHS, lack clarity and specificity. This research aims to bridge this gap by proposing a tailored method for conducting PIAs in the OHS context, with a particular focus on addressing the "how to" aspect of the assessment process. The proposed method integrates insights from domain experts, relevant literature sources, and GDPR regulations, ultimately leading to the development of an online PIA tool. These principles include:Lawfulness, Fairness, and Transparency: Personal data must be processed lawfully, fairly, and transparently, with individuals being informed about how their data will be used.Purpose Limitation: Personal data should be collected for specified, unambiguous and relevant purposes and should not be further processed in a way that is incompatible with those purposes. Collapse

Topics: legal context General Data Protection Regulation privacy mobile system internet of things

Methods: survey focus group archival research computational algorithm decision tree classification