Guest editorial: Human–computer interactions: investigating the dark side and proposing a model based on an empirical collection of studies
| DOI | https://doi.org/10.1108/AJIM-09-2022-398 |
| Published date | 05 September 2022 |
| Date | 05 September 2022 |
| Pages | 749-757 |
| Subject Matter | Library & information science,Information behaviour & retrieval,Information & knowledge management,Information management & governance,Information management |
| Author | Abhishek Behl,Manish Gupta,Vijay Pereira,Justin Zuopeng Zhang |
Guest editorial: Human–computer
interactions: investigating the dark
side and proposing a model based
on an empirical collection
of studies
1. Introduction
Several prior studies have extensively covered human–computer interaction (HCI). These
studies examine several factors related to HCI such as psychological, physiological, business and
social factors or those related to such factors affecting HCI (Walker et al., 2020;Baccarella et al.,
2020;Shneiderman and Plaisant, 2010). Using technological advancement, it is possibl e to
enhance HCI by recognizing affective states (Walker et al., 2020;Baccarella et al., 2020). In
general, the recognition of affective states is based on passive stimuli such as watching videos,
which do not reflect the actual interaction between people. To date, scholars have reached a
consensus that this relationship is more cyclical, and there are attempts to strengthen it. For
example, (1)Choudh ury et al. (2020) emphasized the need to unify HCI and AI, (2) Ramos etal.
Shneiderman and Plaisant (2010) discussed the qualities of effective HCI, Lazar et al. (2017)
discussed exploration strategies of HCI and recently (5) Szameitat et al. (2009) discussed
emotionsin HCI (Baccarella et al., 2020;Shneiderman and Plaisant, 2010;Behl et al.,2021;Pandey
et al.,2021). Other than the engineering side of HCI, these are other developments. Interestingly,
most of this research focuses only on the positive aspects of HCI. Baccarella et al. (2018),
Baccarella et al. (2020) and Fox and Moreland (2015) explore the dark side of HCI.
As there is already a bright side of HCI extensively researched, this special issue explores
its less attended side, the dark side (Szameitat et al., 2009). The impact of HCI may vary
greatly, i.e. from (1) attending to requiring ethical behavior, (2) detecting to causing
occupational stress, (3) promoting privacy and protecting data to intruding into privacy
space and compromising data security, (4) ensuring efficient operation to stealing several jobs
and (5) helping mentally challenged to causing abnormal frustration (Bjørn et al., 2019). HCI
has several lows, but it is an emerging area of research. Humans can sustain and coexist with
computers physically, psychologically and economically if these dark areas of HCI are seen as
challenges instead of risks.
In light of the above rationale, this special issue aimed to address some fundamental
research questions. The topics discussed were (1) what are the bottlenecks in the design,
dissemination and adoption of new HC technologies?; (2) can the design of systems be
generalized across technologies? (3) what role does ethics play in the management of HCI
systems? and (4) how can advanced data analytics be used to reduce information loss and
improve knowledge management systems?
In human-to-human interactions, one can intuitively predict an individual’s emotional
state based on facial expressions, body language and voice intonation (Karray et al., 2008).
Humans often adapt their behavior in response to inferences of this kind. Similarly, computer
systems can acquire information about the user through various input modalities (Karray
et al., 2008;Walker et al., 2020;Baccarella et al., 2020;Reizer et al., 2022). Audio–visual input
Guest editorial
749
Aslib Journal of Information
Management
Vol. 74 No. 5, 2022
pp. 749-757
© Emerald Publishing Limited
2050-3806
DOI 10.1108/AJIM-09-2022-398
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