What's Well & Good in Technology

What's Well & Good in Technology

Research papers related to the ISQOLS SIG Technology And Wellbeing

Wellbeing tech meets real life

This week’s papers treat technology less as a guaranteed fix and more as a setting where wellbeing is shaped: at work, in counselling, in gyms, and among people often left out of digital health design. The studies ask who benefits, who may be burdened, and what “support” looks like in context.

  • Digital wellbeing tools are being studied for access and support, but these papers emphasize that social setting and user context shape their role.
  • Workplace AI wellness systems may be associated with stronger organizational commitment while also showing concerns around employee wellbeing.
  • Digital health and wellbeing research in this set includes homelessness, ageing, 2SLGBTQ+ identity, and everyday social connection.
Care access and digital inclusion
eHealthism in inclusion health: a qualitative longitudinal study with women experiencing homelessness
It examines how women experiencing homelessness access and use digital technologies for health and wellbeing in everyday life.
Digital ageing among mid-life and older 2SLGBTQ+ adults: expanding the health equity promotion model with a technological dimension
It explores how digital platforms supported the social health needs of mid-life and older 2SLGBTQ+ adults during the Covid-19 pandemic.
A Comparative Study of Psychological Wellbeing in Tele-Counselling and Face-to-Face Counselling
It compares tele-counselling and face-to-face counselling for promoting psychological wellbeing among adults.
Work, overload, and AI wellness
Analysing the Impact of AI-Based Digital Detox Interventions on the Health and Lifestyle of IT Professionals
It proposes a simulation-based analytical model for AI-assisted digital detox interventions addressing digital behavior, perceived stress, mental health, and lifestyle balance among IT professionals.
Digital Mindfulness and Employee Wellness: A Systematic Literature Review
It reviews fragmented research on digital mindfulness as a workplace approach to employee wellbeing and technology-related psychological strain.
The The role of AI-enabled HRM practices and employee well-being: From digital wellness to organizational commitment
It reports associations between AI-enabled corporate wellness systems, employee wellbeing, and organizational commitment across Indian organizations.
Consumer tech and perceived wellbeing
Smart fitness equipment and subjective well-being: the roles of perceived value and brand love
It examines how perceptions of smart fitness equipment relate to perceived value, brand love, and subjective wellbeing in a three-wave panel of new fitness-center members.
The Influence of Financial Literacy, Social Media Marketing and the Use of Financial Technology on Financial Welfare Through Gen Z Economic Behavior in Karo Regency
It studies how financial literacy, social media marketing, and financial technology relate to Gen Z financial wellbeing through economic behavior.
Summary written from this week's papers and fact-checked against their abstracts.

Episode

Transcript 28 lines

Cold Open

Jenny Have you ever used a gadget that was supposed to make life easier, but somehow gave you one more thing to manage?
Davis Yes, my watch once told me to stand up while I was carrying groceries, and suddenly the helper had assigned homework.
Jenny I would absolutely try to outsmart that, because if a device nags at the wrong time, my first instinct is not self-improvement, it's tricking the tiny hall monitor.
Davis But that's the design problem, right, because a sensor can still help if it understands real life instead of treating every messy Tuesday like bad data.
Jenny And this week we get to the uncomfortable version of that, older adults changing their routines so smart monitoring won't set off alerts, which turns a safety tool into something they have to perform for...welcome to What's Well & Good in Technology on paperboy.fm.

Stats Overview

Davis This week, the feed is broad but a little tighter: 120 qualified papers, 339 unique authors, and 26 countries. China leads with 8 papers, then Indonesia with 6, and India with 5, so the center of gravity is very Asia-heavy.
Jenny And that 120 is basically flat from last time, down from 122, a 1.6 percent dip. So I wouldn't tell a listener the field slowed down; I'd say the usable stack barely moved.
Davis The bigger change is earlier in the funnel. Query hits fell from 3,204 to 2,481, down 723, or 22.6 percent, while the qualified count stayed almost the same. That sounds like less noise, but what's driving it: search terms, indexing, or just a quieter week?
Jenny The methods also explain the feel of the episode. Survey and qualitative work are tied at the top, with 33 papers each. Plainly, a lot of these studies are asking people what technology feels like in daily life, not just logging clicks or running lab tests.
Davis That fits the themes: AI shows up twice in the tags, with 9 artificial intelligence papers and 6 more under the capitalized version, then mental health at 8, and older adults and sustainability at 5 each. The through-line is not gadget magic; it's whether the tool fits trust, workload, privacy, and real routines.
Jenny One last texture point: among 339 authors, 81 are first-time authors, meaning first-ever paper by this metadata, not just new to our feed. Another 124 are emerging, and 134 are experienced, so this week is almost evenly split between fresh voices and established ones.

Paper Walkthrough

Paper 1 Smart fitness equipment and subjective well-being: the roles of perceived value and brand love

Davis Alright, let's get into the papers with Smart fitness equipment and subjective well-being, which is basically asking whether a smart treadmill can make a gym member feel better about life, not just better about cardio.
Davis Razavi, Sato, and Gulavani studied three hundred seventy-two new fitness center members using Technogym smart treadmills, and the emotional path is the interesting part: intelligence, connectivity, and aesthetics made the gym experience feel more valuable, that perceived value fed brand love, meaning real attachment to the fitness center, and both were linked to subjective well-being, meaning how people judge their own life and feelings.
Jenny So are we measuring the treadmill helping people feel better, or are we measuring the whole branded gym experience around it, with shiny screens, a premium feel, and maybe the optimism of being a new member?
Davis That’s the right pressure point, and the design helps but doesn’t erase it: they used a three-wave panel survey, meaning the same three hundred seventy-two people were surveyed across three time points, then analyzed the links with structural equation modeling, which is a way to test whether the proposed chain of relationships fits the data.
Davis So the evidence is stronger than a one-and-done satisfaction poll, but it’s still tied to one smart fitness context, one equipment brand, and new members, so it is not proof that every connected bike, mirror, or treadmill improves well-being.
Jenny The practical takeaway feels very Value Is Relational: if a gym buys smart equipment, the win is not the gadget sparkle, it’s whether people feel the workout is useful, coherent, and worth showing up for again.

Paper 2 eHealthism in inclusion health: a qualitative longitudinal study with women experiencing homelessness

Jenny That useful and worth showing up for point has a harder edge here, because the next paper is eHealthism in inclusion health, and it asks what digital health looks like for nine women experiencing homelessness in London.
Jenny The plain finding is that digital tools could help, but only when women had real choice and real backup. eHealthism means a system talks about online access as empowerment, while quietly making the person do the work of owning a phone, keeping it charged, staying connected, remembering passwords, and trusting the service enough to use it.
Davis So when a health system says digital tools empower people, who is left doing all the work to make that true?
Jenny Gaber and colleagues used a qualitative longitudinal design, meaning they stayed with a small group over time rather than taking one snapshot. They did narrative interviews and participant observations with those nine women, and women with lived experience helped design materials, recruit participants, interpret the analysis, and co-produce recommendations. The tradeoff is obvious: this is a small London study, so it doesn't generalize broadly, but it gives close detail on how care actually gets blocked.
Davis That feels like Access Needs Support in its most concrete form. A portal, an app, or a text reminder isn't care if the person also needs safety, trust, a working device, and someone face-to-face who won't disappear when the login fails.

Paper 3 Renegotiating autonomy and safety: disentangling tensions emerging for older adults living with smart monitoring systems

Davis That line about the login failing makes a sharp turn here, because this paper starts after the device is actually installed. Detels, Zhai, Cai, and Trenz call it Renegotiating autonomy and safety, and they followed twenty-one older adults using smart monitoring systems, meaning sensors and alerts meant to help someone live at home safely.
Davis The twist is that the system didn't just watch daily life. It changed daily life. Some people started anticipating what the system would think they were doing, so safety monitoring became a kind of audience, and the authors saw three responses: reactance, where people pulled away from devices to reclaim control; preemptive behavior, where they changed routines to avoid alerts; and performative compliance, where they acted safe for caregivers rather than doing what they personally needed.
Jenny If someone changes their routine just to avoid triggering an alert, is the system still protecting them, or has it quietly made the person manage the machine?
Davis That's exactly the tension they track over time. The team used semi-structured interviews, which means guided conversations with room for people to tell their own story, across four data collection phases for more than a year after installation. The evidence is rich, but it's twenty-one people in a qualitative study, so I'd treat this as a mechanism to take seriously, not a population-wide rate.
Jenny And it lands right in Autonomy Under Monitoring. A care team can't just ask whether alerts fired on time. They have to ask, did this person stop making tea at night, skip a shower, or sit still longer because they didn't want a caregiver phone call?

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