Studying PH. A. N. T. O. M. in the wild

Jensen, Kasper Løvborg; Krishnasamy, Rameshnath; Selvadurai, Vashanth

doi:10.1145/1952222.1952228

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…Games can penetrate the digital-physical barrier to offer new ways of exercising, for instance. A mixed reality, location-based game can target users with sedentary lifestyles to increase their physical activity through pervasive and persuasive play [37,38]. Such games are referred to as exertion games [39].…”

Section: Mobile Exploration Systemsmentioning

confidence: 99%

Designing Context-Aware Mobile Systems for Self-guided Exhibition Sites

Krishnasamy

Selvadurai

Vistisen

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This study examines the design of digital systems created to support users in self-guided exhibitions (i.e., sites without human personnel to support the users). We developed a location-aware smartphone guide called Aratag, which utilizes Bluetooth beacons to serve contextual information at the user's request. Using this guide, we conducted a user study to investigate what types of content institutions perceive as relevant versus the kinds of content users actually find relevant. The study also contributes to our understanding of users' attitudes toward using smartphones to support their self-guidance in exhibitions. Our results provide insights into designing for interplay between the physical setting of the exhibition and the digital platform, so as to inform the utility, desirability, and usability of mobile guides. Based on these findings, we present the following two design insights that should be considered when designing future mobile systems for self-guidance in exhibitions: 1) multi-level content to accommodate individual user interest by scaffolding information layers from glimpses to an increasingly immersive experience and 2) real-time location tracking with clear visual feedback.

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Section: Mobile Exploration Systemsmentioning

confidence: 99%

Designing Context-Aware Mobile Systems for Self-guided Exhibition Sites

Krishnasamy

Selvadurai

Vistisen

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…The reason for this cast of votes was partly 1) that Self-monitoring had already been investigated in related work on activity sensing devices (e.g. Consolvo et al 2006, de Oliveira & Oliver 2008, Foster et al 2010, Fritz et al 2014, Hirano et al 2013, Jensen et al 2010, Lin et al 2006, Mateevitsi et al 2014, Purpura et al 2011, Toscos et al 2006, and partly 2) that we wanted to explore a principle that would allow the DPA to play a more proactive role in the persuasion -i.e. making proposals -rather than merely reporting back the user's performance.…”

Section: Background On Fogg's Persuasion Principlesmentioning

confidence: 99%

“…These tracking devices collect sensor data from their user, which can then be applied in combination with different persuasive principles. Specific studies include the use of sensor data in physical standalone devices (Mateevitsi et al 2014), in companion applications on smartphones (Consolvo et al 2006, de Oliveira & Oliver 2008, Hirano et al 2013, Jensen et al 2010, Purpura et al 2011, Toscos et al 2006, and on computers (Foster et al 2010, Lin et al 2006). These applications typically display statistical data through dashboards, gaming experiences, social facilitation, or as comparisons.…”

Section: Digital Persuasion and Physical Activitymentioning

confidence: 99%

Can digital personal assistants persuade people to exercise?

Paay

Kjeldskov²,

Papachristos³

et al. 2020

Behaviour & Information Technology

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Digital personal assistants (DPAs) have recently grown in popularity because they are both a commercially available new technology and reasonably affordable to the average household. This opens opportunities for new ways to assist people in everyday activities in their homes through voice-interaction. Physical activity has significant health benefits, and yet globally, 1 in 4 adults are not active enough. To address this, we investigate the persuasive potential of DPAs in increasing people's physical activity at home. We conducted a study with 48 participants to understand the effect of applying three of Fogg's persuasive principles to the design of a DPA exercise program: Suggestion, Virtual Reward, and Praise. Our findings show that DPAs have the potential, within their current technical and reactive capabilities, to persuade people to increase their physical activity at home, using Suggestion to encourage physical effort, Virtual Reward to encourage endurance, and Praise to create reassurance for beginners. Based on this, we offer three alternate perspectives for developing persuasive DPAs. We also discuss limitations of the study and suggest future research directions around using persuasion with DPAs.

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“…RECON has been deployed and tested with several application prototypes. Most notably as an integral part of the field evaluation of μCARS -a mobile and ubiquitous car rental service using distributed speech-recognition combined with stylus input to let users rent cars which is a mixed reality game aiming to motivate the players to be physically active (Jensen, Krishnasamy, & Selvadurai, 2010).…”

Section: Using Reconmentioning

confidence: 99%

Remote and Autonomous Studies of Mobile and Ubiquitous Applications in Real Contexts

Jensen

2011

International Journal of Mobile Human Computer Interaction

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As mobile and ubiquitous applications become increasingly complex and tightly interwoven into the fabric of everyday life it becomes more important to study them in real contexts. This paper presents a conceptual framework for remote and autonomous studies in the field and two practical tools to facilitate such studies. RECON is a remote controlled data capture tool that runs autonomously on personal mobile devices. It utilizes the sensing and processing power of the devices to capture contextual information together with general usage and application specific interaction data. GREATDANE is a tool for exploration and automated analysis of such rich datasets. The presented approach addresses some key issues of existing methods for studying applications in situ, namely cost, scalability and obtrusiveness to the user experience. Examples and experiences are given from remote and autonomous studies of two mobile and ubiquitous applications where the method and tools have been used.

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Studying PH. A. N. T. O. M. in the wild

Cited by 9 publications

References 7 publications

Designing Context-Aware Mobile Systems for Self-guided Exhibition Sites

Designing Context-Aware Mobile Systems for Self-guided Exhibition Sites

Can digital personal assistants persuade people to exercise?

Remote and Autonomous Studies of Mobile and Ubiquitous Applications in Real Contexts

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