acm - an acm publication


An interview with Sarah Clinch
anticipating adverse effects of technology on human cognition

Ubiquity, Volume 2019 Issue November, November 2019 | BY Bushra Anjum 

Full citation in the ACM Digital Library  | PDF  | m4a


Volume 2019, Number November (2019), Pages 1-5

Innovation Leaders: An interview with Sarah Clinch: anticipating adverse effects of technology on human cognition
Bushra Anjum
DOI: 10.1145/3372796

In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Sarah Clinch, computer science researcher and lecturer at the University of Manchester, to discuss the cognitive burden technology innovations create.

Dr. Sarah Clinch is a computer science researcher and lecturer (assistant professor) at the University of Manchester, U.K., where she is a founding member of the School of Computer Science's new Ubiquitous Computing research theme. She has a Ph.D. from Lancaster University. She sits on the editorial board of IEEE Pervasive Computing, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), and is an inaugural member of the ACM Future of Computing Academy.

Clinch is internationally recognized for her research in pervasive display technologies, with papers on the topic published at esteemed venues like Mobisys, Ubicomp, and CHI. Her open-source research software is in daily use as part of the world's largest research testbed for open displays. Clinch has recently begun to explore the effects of technology on human cognition and mental health, with a particular interest in memory and forgetting. She can be reached via email [email protected] and Twitter @5aff.

What is your big concern about the future of computing to which you are dedicating yourself?

As technology seamlessly integrates itself into our everyday lives, it's silently changing the way we think. Smartphones and similar technologies are already accused of "making us stupid" [1]. There is, understandably, growing interest in using technology to augment human capabilities, both to address the specific impairment and to simply extend or enhance our senses and natural abilities. While I'm excited about these research directions, I'm keen for researchers and innovators to consider the potential for these technologies to actually reduce our inherent cognitive abilities.

The internet, social networks, smartphones, wearables, and other technologies are providing us with easy-access information, new communication channels, audio and photographic records of our experiences, and completely new sensory inputs. Less visible, however, is the possible negative impact of these technologies on the very cognitive processes they are intended to augment. The ubiquity of the smartphone has led researchers, particularly in psychology, to begin exploring its impact on our attention and cognition and it has been suggested that even when turned off, our mobiles continue to consume our attention and cognitive resources [1]. Likewise, the impact of search engines, internet knowledge banks, and social media have become targets for research, revealing the so-called "Google Effect" [2] in which individuals reduce cognitive effort, and retain less in circumstances where a computer can store information for them. Headlines such as "Is Google Making Us Stupid?" capture attention, but most likely miss the significance and subtleties of the likely impact. Technology will undoubtedly relieve us of some cognitive burden (for better or worse), but research demonstrates that it has the potential to actively distort our thinking without any awareness on our part: distorting our identities, beliefs, and memories [3] and directing our decision-making [4]. Understanding these side effects, and their implications for future technology innovation is a problem that really excites me.

What sparked your interest in the psychological and technological aspects of human cognition?

My father is a computer scientist, and my stepfather a (now retired) hospital doctor. My stepfather passed down his old psychology books when I was a teenager. I was fascinated. I soon developed a plan to study psychology at university. However, plans and paths don't always run smoothly, and I found myself enrolling in a combined science course with psychology and computer science as joint majors. Three years later, I graduated with a degree in computer science, but my love for psychology had never gone far and has remained highly influential in my career and research choices.

In my Ph.D. I studied public display infrastructure (such as digital information boards and advertising screens) to deliver personalized content for individuals. A common question for this research centered on the use case for personalized content shown on public displays, especially given a world with near-ubiquitous personal mobile screens (smartphones, watches, head mounted displays). However, I firmly believed (and still do) that public and personal screens are both parts of an ecosystem of devices that work together to support our everyday activities.

Towards the end of my Ph.D., I had the good fortunate to be included in an EU-funded project exploring how a combination of public and personal technologies might form an integrated platform to augment human memory. At the end of that project, my former Ph.D. supervisor (together with colleagues from Edinburgh and Essex) and I applied for U.K. funding to consider how technologies for memory augmentation might generate unique privacy and security flaws. For example, considering how technologies for reviewing your experiences could be used to generate false memories (e.g., by leveraging the doctored evidence effect [5]) or deliberately attenuate target memories (e.g., through retrieval-induced forgetting [3]). This proposal was funded by the U.K's Engineering and Physical Sciences Research Council (EPSRC) in 2016.

What initiatives are you currently leading to anticipate and study the negative effects of technology on human cognition?

Our U.K. EPSRC-funded project PACTMAN has another year to go. In this project we are conducting pioneering interdisciplinary research to create the world's first comprehensive system for privacy and consent management in future pervasive environments, i.e. environments with a wide range of sensing capabilities. Our work is informed by two scenarios: human memory augmentation and personalized information presentation. To date, the project has largely focused on traditional trust and privacy concerns for augmented cognition systems (keeping data safe, understanding how it might be used, etc.). Over the next year, my team at Manchester will conduct studies exploring the cognitive risks associated with revisiting personal data for the purpose of augmenting human memory. For example, do distortions of visual life-logging summaries lead to similar distortions in our memory for the experiences we thought those summaries represented? If so, what safeguards will future memory augmentation systems need to put into place to prevent intentional (or unintentional) manipulation of our cognition?

Beyond the context of the EPSRC-funded PACTMAN project, my team is exploring a variety of other aspects pertaining to how technologies might be used to enhance cognition and experiences, as well as the risks that such technologies bring for memory, attention, and mental health. Together, I hope that we'll build a portfolio of research that helps us understand the challenges of developing systems in the context of cognition and approaches for technologies that reduce negative impacts. Hence, I'm pleased to be contributing a chapter exploring these ideas to a forthcoming Springer volume on human augmentation. I'm keen to engage researchers around this problem and would love to hear from anyone interested in discussing or collaborating in this area.


[1] Wilmer, H. H., Sherman, L.E., and Chein, J.M. Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology 8 (2017), 605.

[2] Sparrow, B., Liu, J., and Wegner, D.M. Google effects on memory: Cognitive consequences of having information at our fingertips. Science 333, 6043 (2011.

[3]. Nash, R.A., Wade, K.A., and Lindsay, D.S. Digitally manipulating memory: Effects of doctored videos and imagination in distorting beliefs and memories. Memory & Cognition 37, 4 (2009), 414–424.

[4] Caraban, A. et al. 23 ways to nudge: A review of technology-mediated nudging in human-computer interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 2019.

[5] Anderson, M.C., Bjork, E.L., and Bjork, R.A. Retrieval-induced forgetting: Evidence for a recall-specific mechanism. Psychonomic Bulletin & Review 7, 3 (2000), 522–530.


Bushra Anjum is a software technical lead at Amazon in San Luis Obispo, CA. She has expertise in Agile Software Development for large scale distributed services with special emphasis on scalability and fault tolerance. Originally a Fulbright scholar from Pakistan, Dr. Anjum has international teaching and mentoring experience and has served in academia for over five years before joining the industry. In 2016, she has been selected as an inaugural member of the ACM Future of Computing Academy, a new initiative created by ACM to support and foster the next generation of computing professionals. Dr. Anjum is a keen enthusiast of promoting diversity in the STEM fields and is a mentor and a regular speaker for such. She received her Ph.D. in computer science at the North Carolina State University (NCSU) in 2012 for her doctoral thesis on Bandwidth Allocation under End-to-End Percentile Delay Bounds. She can be found on Twitter @DrBushraAnjum.

©2019 ACM  $15.00

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.

The Digital Library is published by the Association for Computing Machinery. Copyright © 2019 ACM, Inc.


Leave this field empty

2018 Symposia

Ubiquity symposium is an organized debate around a proposition or point of view. It is a means to explore a complex issue from multiple perspectives. An early example of a symposium on teaching computer science appeared in Communications of the ACM (December 1989).

To organize a symposium, please read our guidelines.


Ubiquity Symposium: Big Data

Table of Contents

  1. Big Data, Digitization, and Social Change (Opening Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic
  2. Big Data and the Attention Economy by Bernardo A. Huberman
  3. Big Data for Social Science Research by Mark Birkin
  4. Technology and Business Challenges of Big Data in the Digital Economy by Dave Penkler
  5. High Performance Synthetic Information Environments: An integrating architecture in the age of pervasive data and computing By Christopher L. Barrett, Jeffery Johnson, and Madhav Marathe
  6. Developing an Open Source "Big Data" Cognitive Computing Platform by Michael Kowolenko and Mladen Vouk
  7. When Good Machine Learning Leads to Bad Cyber Security by Tegjyot Singh Sethi and Mehmed Kantardzic
  8. Corporate Security is a Big Data Problem by Louisa Saunier and Kemal Delic
  9. Big Data: Business, technology, education, and science by Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, and Marco Amador
  10. Big Data or Big Brother? That is the question now (Closing Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic